premise string | hypothesis string | label int64 |
|---|---|---|
| SBP<br>Type | PBSII,PBLearning | CPLEX | Galena | Pueblo | | | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | | | | | | | | | | | | | | | |
| | | | | | | | | | | | | | | | | | | noSBPs | 17K | 3 | 4.2K | 16 | 6.3K | 14 | 13K | 7 | 1.7K | 2 | 3K | 17 | 18K | 3 | 1.6K | 19 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| NU<br>CA<br>LI<br>SC<br>NU+SC | 8.2K<br>13K<br>15K<br>14K<br>6.9K | 13<br>6<br>6<br>6<br>14 | 7.5K<br>12K<br>15K<br>65<br>6.8K | 13<br>8<br>6<br>20<br>14 | 5.9K<br>11K<br>16K<br>5.3K<br>4.5K | 15<br>11<br>4<br>15<br>16 | 6.5K<br>11K<br>16K<br>12K<br>6.4K | 15<br>10<br>4<br>8<br>14 | 8.3K<br>19K<br>15K<br>16K<br>6.1K | 11<br>1<br>5<br>4<br>14 | 6.7K<br>17K<br>15K<br>94.4<br>6.1K | 11<br>3<br>5<br>20<br>14 | 9.1K<br>9K<br>16K<br>15k<br>7.3K | 12<br>12<br>5<br>5<br>13 | 8.3K<br>10K<br>16K<br>2.1K<br>7.1K | 13<br>12<br>5<br>18<br>13 | | 1 |
| SBP<br>Type | PBSII,PBLearning | CPLEX | Galena | Pueblo | | | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | | | | | | | | | | | | | | | |
| | | | | | | | | | | | | | | | | | | H1 | H2open | SNE | SAD | SMD | SDV | SCC | SPL | SAPD | SED | SCL |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 199 | 125302 | 1049866 | 6.62 | 343 | 100.15 | 0.306 | 2.245 | 7.69 | 9 | 7.46 |
| 72.9<br>41.1<br>19.7 | 40712.1<br>24618.2<br>7771.4 | 1048153<br>1035994<br>991498 | 6.61<br>6.53<br>6.25 | 316.0<br>186.0<br>164.9 | 97.46<br>86.47<br>64.20 | 0.303<br>0.294<br>0.284 | 2.244<br>2.248<br>2.265 | 7.74<br>7.82<br>8.08 | 9.4<br>9.5<br>10.0 | 7.50<br>7.59<br>7.85 |
| 153 | 113338 | 925872 | 5.53 | 549 | 33.20 | 0.205 | 2.336 | 12.75 | 16 | 12.10 |
| 55.7<br>34.5<br>19.2 | 55655.9<br>39689.8<br>16375.4 | 924321<br>915711<br>892140 | 5.52<br>5.47<br>5.33 | 479.1<br>299.7<br>253.9 | 31.73<br>27.18<br>21.87 | 0.206<br>0.220<br>0.232 | 2.340<br>2.348<br>2.374 | 12.14<br>12.40<br>12.52 | 15.2<br>15.6<br>15.5 | 11.65<br>11.91<br>12.06 |
| 978 | 321724 | 2987624 | 5.27 | 28754 | 2576.0 | 0.0062 | 2.429 | 6.07 | 8 | 6.79 |
| 157.2<br>80.0<br>23.4 | 36744.6<br>22361.7<br>5806.9 | 2982974<br>2940310<br>2624066 | 5.26<br>5.18<br>4.62 | 28438<br>26900<br>16353 | 2522.6<br>2282.6<br>970.8 | 0.0062<br>0.0061<br>0.0070 | 2.416<br>2.419<br>2.438 | 6.24<br>6.27<br>6.59 | 8.0<br>8.0<br>8.1 | 6.01<br>6.04<br>6.36 | | 0 |
| SBP<br>Type | PBSII,PBLearning | CPLEX | Galena | Pueblo | | | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | | | | | | | | | | | | | | | |
| | | | | | | | | | | | | | | | | | | noSBPs | 17K | 3 | 4.2K | 16 | 6.3K | 14 | 13K | 7 | 1.7K | 2 | 3K | 17 | 18K | 3 | 1.6K | 19 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| NU<br>CA<br>LI<br>SC<br>NU+SC | 8.2K<br>13K<br>15K<br>14K<br>6.9K | 13<br>6<br>6<br>6<br>14 | 7.5K<br>12K<br>15K<br>65<br>6.8K | 13<br>8<br>6<br>20<br>14 | 5.9K<br>11K<br>16K<br>5.3K<br>4.5K | 15<br>11<br>4<br>15<br>16 | 6.5K<br>11K<br>16K<br>12K<br>6.4K | 15<br>10<br>4<br>8<br>14 | 8.3K<br>19K<br>15K<br>16K<br>6.1K | 11<br>1<br>5<br>4<br>14 | 6.7K<br>17K<br>15K<br>94.4<br>6.1K | 11<br>3<br>5<br>20<br>14 | 9.1K<br>9K<br>16K<br>15k<br>7.3K | 12<br>12<br>5<br>5<br>13 | 8.3K<br>10K<br>16K<br>2.1K<br>7.1K | 13<br>12<br>5<br>18<br>13 | | 1 |
| SBP<br>Type | PBSII,PBLearning | CPLEX | Galena | Pueblo | | | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | | | | | | | | | | | | | | | |
| | | | | | | | | | | | | | | | | | | 153 | 113338 | 925872 | 5.53 | 549 | 33.20 | 0.205 | 2.336 | 12.75 | 16 | 12.10 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 55.7<br>34.5<br>19.2 | 55655.9<br>39689.8<br>16375.4 | 924321<br>915711<br>892140 | 5.52<br>5.47<br>5.33 | 479.1<br>299.7<br>253.9 | 31.73<br>27.18<br>21.87 | 0.206<br>0.220<br>0.232 | 2.340<br>2.348<br>2.374 | 12.14<br>12.40<br>12.52 | 15.2<br>15.6<br>15.5 | 11.65<br>11.91<br>12.06 |
| 978 | 321724 | 2987624 | 5.27 | 28754 | 2576.0 | 0.0062 | 2.429 | 6.07 | 8 | 6.79 |
| 157.2<br>80.0<br>23.4 | 36744.6<br>22361.7<br>5806.9 | 2982974<br>2940310<br>2624066 | 5.26<br>5.18<br>4.62 | 28438<br>26900<br>16353 | 2522.6<br>2282.6<br>970.8 | 0.0062<br>0.0061<br>0.0070 | 2.416<br>2.419<br>2.438 | 6.24<br>6.27<br>6.59 | 8.0<br>8.0<br>8.1 | 6.01<br>6.04<br>6.36 | | 0 |
| CNN | Imageresolution | RunTime(ms) |
| --- | --- | --- |
| AlexNet | 227Γ227 | 2.3 | | | VGG16 | 224Γ224 | 10 |
| --- | --- | --- |
| Resnet50 | 224Γ224 | 17 |
| SqueezeNet | 224Γ224 | 2.5 |
| SqueezeNet | 448Γ448 | 4 |
| SqueezeNet | 625Γ625 | 6 | | 1 |
| CNN | Imageresolution | RunTime(ms) |
| --- | --- | --- |
| AlexNet | 227Γ227 | 2.3 | | | CNNmodel | Layer | Activations | Encoding |
| --- | --- | --- | --- |
| AlexNet | Conv5 | (13,13,256) | FV+PCA |
| AlexNet | Conv5 | (13,13,256) | VLAD+PCA |
| AlexNet | FC7 | 4096 | β |
| GoogLeNet | Inc.5b | (7,7,1024) | VLAD+PCA |
| GoogLeNet | Pool5 | 1024 | β | | 0 |
| CNN | Imageresolution | RunTime(ms) |
| --- | --- | --- |
| AlexNet | 227Γ227 | 2.3 | | | VGG16 | 224Γ224 | 10 |
| --- | --- | --- |
| Resnet50 | 224Γ224 | 17 |
| SqueezeNet | 224Γ224 | 2.5 |
| SqueezeNet | 448Γ448 | 4 |
| SqueezeNet | 625Γ625 | 6 | | 1 |
| CNN | Imageresolution | RunTime(ms) |
| --- | --- | --- |
| AlexNet | 227Γ227 | 2.3 | | | AlexNet | Conv5 | (13,13,256) | VLAD+PCA |
| --- | --- | --- | --- |
| AlexNet | FC7 | 4096 | β |
| GoogLeNet | Inc.5b | (7,7,1024) | VLAD+PCA |
| GoogLeNet | Pool5 | 1024 | β | | 0 |
| Notations | Descriptions |
| --- | --- |
| C,Crw | totalnumberofreadsandwritesonapageinatimeinterval | | | t,tnrnw | NVMreadandwritelatencies |
| --- | --- |
| t,tdrdw | DRAMreadandwritelatencies |
| Tmig | cyclesspentinmigratingapagefromNVMtoDRAM |
| Twriteback | cyclesspentinwritingadirtyDRAMpagetoNVM | | 1 |
| Notations | Descriptions |
| --- | --- |
| C,Crw | totalnumberofreadsandwritesonapageinatimeinterval | | | Metric | Description |
| --- | --- |
| Executiontime | Measuredinseconds |
| CPUusage | TotalCPUtimepersecond |
| Totalmemorysize | MeasuredinGB |
| CPI | Cyclesperinstruction |
| MAI | Thenumberofmemoryaccesses<br>perinstruction | | 0 |
| Notations | Descriptions |
| --- | --- |
| C,Crw | totalnumberofreadsandwritesonapageinatimeinterval |
| t,tnrnw | NVMreadandwritelatencies |
| t,tdrdw | DRAMreadandwritelatencies | | | Tmig | cyclesspentinmigratingapagefromNVMtoDRAM |
| --- | --- |
| Twriteback | cyclesspentinwritingadirtyDRAMpagetoNVM | | 1 |
| Notations | Descriptions |
| --- | --- |
| C,Crw | totalnumberofreadsandwritesonapageinatimeinterval |
| t,tnrnw | NVMreadandwritelatencies |
| t,tdrdw | DRAMreadandwritelatencies | | | Totalmemorysize | MeasuredinGB |
| --- | --- |
| CPI | Cyclesperinstruction |
| MAI | Thenumberofmemoryaccesses<br>perinstruction | | 0 |
| 12626 | 84 |
| --- | --- |
| 8799 | 122 | | | 12488 | 87 |
| --- | --- |
| 8799 | 94 |
| 12488 | 150 |
| 12625 | 44 |
| 12626 | 110 | | 1 |
| 12626 | 84 |
| --- | --- |
| 8799 | 122 | | | 318739 | 472 | 138 | 7 | 16 |
| --- | --- | --- | --- | --- |
| 229 | 32090 | 217 | 0 | 9 |
| 33 | 115 | 885 | 0 | 16 |
| 0 | 0 | 0 | 5 | 0 |
| 5 | 23 | 26 | 0 | 3128 |
| 11 | 32 | 0 | 0 | 0 | | 0 |
| 12626 | 84 |
| --- | --- |
| 8799 | 122 |
| 12488 | 87 |
| 8799 | 94 |
| 12488 | 150 | | | 12625 | 44 |
| --- | --- |
| 12626 | 110 | | 1 |
| 12626 | 84 |
| --- | --- |
| 8799 | 122 |
| 12488 | 87 |
| 8799 | 94 |
| 12488 | 150 | | | 33 | 115 | 885 | 0 | 16 |
| --- | --- | --- | --- | --- |
| 0 | 0 | 0 | 5 | 0 |
| 5 | 23 | 26 | 0 | 3128 |
| 11 | 32 | 0 | 0 | 0 | | 0 |
| | ClassSim(OVR) | | | | |
| --- | --- | --- | --- | --- | --- |
| bay | beach:0.626 | ocean:0.320 | city:0.301 | beach:0.246 | city:0.123 |
| beach | bay:0.626 | ocean:0.245 | mountain:0.114 | bay:0.246 | ocean:0.040 |
| birds | ocean:0.045 | face:0.037 | sunset:0.028 | face:0.011 | ocean:0.009 |
| boeing | f-16:0.258 | helicopter:0.153 | ocean:0.067 | f-16:0.040 | sky:0.005 |
| buildings | city:0.656 | ships:0.092 | bay:0.069 | city:0.122 | bay:0.044 | | | city | buildings:0.656 | bay:0.301 | ships:0.097 | bay:0.123 | buildings:0.122 |
| --- | --- | --- | --- | --- | --- |
| clouds | sky:0.787 | ocean:0.260 | sunset:0.128 | sky:0.248 | ocean:0.041 |
| face | ocean:0.051 | sunrise:0.040 | birds:0.037 | ocean:0.012 | birds:0.011 |
| f-16 | boeing:0.258 | helicopter:0.188 | ships:0.126 | boeing:0.040 | helicopter:0.038 |
| helicopter | f-16:0.188 | boeing:0.153 | ships:0.098 | f-16:0.038 | ships:0.025 |
| mountain | bay:0.188 | beach:0.114 | ocean:0.093 | bay:0.093 | clouds:0.021 |
| sky | clouds:0.787 | sunset:0.317 | sunrise:0.302 | clouds:0.248 | sunset:0.106 |
| ships | f-16:0.126 | ocean:0.108 | helicopter:0.098 | bay:0.061 | helicopter:0.025 |
| sunset | sunrise:0.902 | sky:0.317 | ocean:0.163 | sunrise:0.353 | sky:0.106 |
| sunrise | sunset:0.902 | sky:0.302 | ocean:0.157 | sunset:0.353 | sky:0.057 |
| ocean | bay:0.320 | sky:0.271 | clouds:0.260 | bay:0.087 | clouds:0.041 | | 1 |
| | ClassSim(OVR) | | | | |
| --- | --- | --- | --- | --- | --- |
| bay | beach:0.626 | ocean:0.320 | city:0.301 | beach:0.246 | city:0.123 |
| beach | bay:0.626 | ocean:0.245 | mountain:0.114 | bay:0.246 | ocean:0.040 |
| birds | ocean:0.045 | face:0.037 | sunset:0.028 | face:0.011 | ocean:0.009 |
| boeing | f-16:0.258 | helicopter:0.153 | ocean:0.067 | f-16:0.040 | sky:0.005 |
| buildings | city:0.656 | ships:0.092 | bay:0.069 | city:0.122 | bay:0.044 | | | | ClassSim | | | | |
| --- | --- | --- | --- | --- | --- |
| bay | beach:0.626 | ocean:0.320 | city:0.301 | beach:6588 | mountain:6951 |
| beach | bay:0.626 | ocean:0.245 | mountain:0.114 | bay:6588 | mountain:6909 |
| birds | ocean:0.045 | face:0.037 | sunset:0.028 | helicopter:5656 | f-16:6490 |
| boeing | f-16:0.258 | helicopter:0.153 | ocean:0.067 | f-16:3438 | clouds:3525 |
| buildings | city:0.656 | ships:0.092 | bay:0.069 | city:9624 | bay:9813 |
| city | buildings:0.656 | bay:0.301 | ships:0.097 | ocean:8576 | bay:8679 |
| clouds | sky:0.787 | ocean:0.260 | sunset:0.128 | f-16:3421 | boeing:3525 |
| face | ocean:0.051 | sunrise:0.040 | birds:0.037 | f-16:7768 | helicopter:7849 |
| f-16 | boeing:0.258 | helicopter:0.188 | ships:0.126 | clouds:3421 | boeing:3438 |
| helicopter | f-16:0.188 | boeing:0.153 | ships:0.098 | f-16:4682 | boeing:4918 |
| mountain | bay:0.188 | beach:0.114 | ocean:0.093 | beach:6909 | bay:6951 |
| sky | clouds:0.787 | sunset:0.317 | sunrise:0.302 | clouds:6609 | f-16:7161 |
| ships | f-16:0.126 | ocean:0.108 | helicopter:0.098 | helicopter:7506 | birds:7520 |
| sunset | sunrise:0.902 | sky:0.317 | ocean:0.163 | f-16:5253 | boeing:5365 |
| sunrise | sunset:0.902 | sky:0.302 | ocean:0.157 | f-16:5885 | boeing:6028 |
| ocean | bay:0.320 | sky:0.271 | clouds:0.260 | bay:7270 | beach:8070 | | 0 |
| | ClassSim(OVR) | | | | |
| --- | --- | --- | --- | --- | --- |
| bay | beach:0.626 | ocean:0.320 | city:0.301 | beach:0.246 | city:0.123 |
| beach | bay:0.626 | ocean:0.245 | mountain:0.114 | bay:0.246 | ocean:0.040 |
| birds | ocean:0.045 | face:0.037 | sunset:0.028 | face:0.011 | ocean:0.009 |
| boeing | f-16:0.258 | helicopter:0.153 | ocean:0.067 | f-16:0.040 | sky:0.005 |
| buildings | city:0.656 | ships:0.092 | bay:0.069 | city:0.122 | bay:0.044 |
| city | buildings:0.656 | bay:0.301 | ships:0.097 | bay:0.123 | buildings:0.122 |
| clouds | sky:0.787 | ocean:0.260 | sunset:0.128 | sky:0.248 | ocean:0.041 |
| face | ocean:0.051 | sunrise:0.040 | birds:0.037 | ocean:0.012 | birds:0.011 |
| f-16 | boeing:0.258 | helicopter:0.188 | ships:0.126 | boeing:0.040 | helicopter:0.038 |
| helicopter | f-16:0.188 | boeing:0.153 | ships:0.098 | f-16:0.038 | ships:0.025 |
| mountain | bay:0.188 | beach:0.114 | ocean:0.093 | bay:0.093 | clouds:0.021 |
| sky | clouds:0.787 | sunset:0.317 | sunrise:0.302 | clouds:0.248 | sunset:0.106 |
| ships | f-16:0.126 | ocean:0.108 | helicopter:0.098 | bay:0.061 | helicopter:0.025 | | | sunset | sunrise:0.902 | sky:0.317 | ocean:0.163 | sunrise:0.353 | sky:0.106 |
| --- | --- | --- | --- | --- | --- |
| sunrise | sunset:0.902 | sky:0.302 | ocean:0.157 | sunset:0.353 | sky:0.057 |
| ocean | bay:0.320 | sky:0.271 | clouds:0.260 | bay:0.087 | clouds:0.041 | | 1 |
| | ClassSim(OVR) | | | | |
| --- | --- | --- | --- | --- | --- |
| bay | beach:0.626 | ocean:0.320 | city:0.301 | beach:0.246 | city:0.123 |
| beach | bay:0.626 | ocean:0.245 | mountain:0.114 | bay:0.246 | ocean:0.040 |
| birds | ocean:0.045 | face:0.037 | sunset:0.028 | face:0.011 | ocean:0.009 |
| boeing | f-16:0.258 | helicopter:0.153 | ocean:0.067 | f-16:0.040 | sky:0.005 |
| buildings | city:0.656 | ships:0.092 | bay:0.069 | city:0.122 | bay:0.044 |
| city | buildings:0.656 | bay:0.301 | ships:0.097 | bay:0.123 | buildings:0.122 |
| clouds | sky:0.787 | ocean:0.260 | sunset:0.128 | sky:0.248 | ocean:0.041 |
| face | ocean:0.051 | sunrise:0.040 | birds:0.037 | ocean:0.012 | birds:0.011 |
| f-16 | boeing:0.258 | helicopter:0.188 | ships:0.126 | boeing:0.040 | helicopter:0.038 |
| helicopter | f-16:0.188 | boeing:0.153 | ships:0.098 | f-16:0.038 | ships:0.025 |
| mountain | bay:0.188 | beach:0.114 | ocean:0.093 | bay:0.093 | clouds:0.021 |
| sky | clouds:0.787 | sunset:0.317 | sunrise:0.302 | clouds:0.248 | sunset:0.106 |
| ships | f-16:0.126 | ocean:0.108 | helicopter:0.098 | bay:0.061 | helicopter:0.025 | | | face | ocean:0.051 | sunrise:0.040 | birds:0.037 | f-16:7768 | helicopter:7849 |
| --- | --- | --- | --- | --- | --- |
| f-16 | boeing:0.258 | helicopter:0.188 | ships:0.126 | clouds:3421 | boeing:3438 |
| helicopter | f-16:0.188 | boeing:0.153 | ships:0.098 | f-16:4682 | boeing:4918 |
| mountain | bay:0.188 | beach:0.114 | ocean:0.093 | beach:6909 | bay:6951 |
| sky | clouds:0.787 | sunset:0.317 | sunrise:0.302 | clouds:6609 | f-16:7161 |
| ships | f-16:0.126 | ocean:0.108 | helicopter:0.098 | helicopter:7506 | birds:7520 |
| sunset | sunrise:0.902 | sky:0.317 | ocean:0.163 | f-16:5253 | boeing:5365 |
| sunrise | sunset:0.902 | sky:0.302 | ocean:0.157 | f-16:5885 | boeing:6028 |
| ocean | bay:0.320 | sky:0.271 | clouds:0.260 | bay:7270 | beach:8070 | | 0 |
| | Labeled | Detected | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| Method | mAP | Rank-1 | Rank-5 | mAP | Rank-1 | Rank-5 |
| GatedSiameseCNN | - | - | - | 51.25 | 61.8 | 80.9 |
| PIE | - | - | - | 67.21 | 61.50 | 89.30 |
| JLML | - | 83.2 | 98.0 | - | 80.6 | 96.9 |
| PAN | 35.03 | 36.86 | 56.86 | 34.00 | 36.29 | 55.50 |
| GoogLeNet+DTL | - | 85.4 | - | - | 84.1 | - |
| PDC | - | 88.70 | - | - | 78.29 | - |
| SpindleNet | - | - | - | - | 88.5 | 97.8 | | | TriNetβ | - | 89.63 | 99.01 | - | 87.58 | 98.17 |
| --- | --- | --- | --- | --- | --- | --- |
| | | | | | | |
| Baseline | 93.6 | 88.2 | 99.4 | 92.0 | 86.4 | 98.1 |
| HumanLandmark | 95.5 | 91.0 | 99.8 | 94.7 | 88.9 | 99.4 |
| PoseOrientation | 95.8 | 90.9 | 99.6 | 94.5 | 89.3 | 99.4 | | 1 |
| | Labeled | Detected | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| Method | mAP | Rank-1 | Rank-5 | mAP | Rank-1 | Rank-5 |
| GatedSiameseCNN | - | - | - | 51.25 | 61.8 | 80.9 |
| PIE | - | - | - | 67.21 | 61.50 | 89.30 |
| JLML | - | 83.2 | 98.0 | - | 80.6 | 96.9 |
| PAN | 35.03 | 36.86 | 56.86 | 34.00 | 36.29 | 55.50 |
| GoogLeNet+DTL | - | 85.4 | - | - | 84.1 | - |
| PDC | - | 88.70 | - | - | 78.29 | - |
| SpindleNet | - | - | - | - | 88.5 | 97.8 | | | Method | Rank1 | Rank5 | Rank10 | Rank20 |
| --- | --- | --- | --- | --- |
| SDALF | 9.9 | 22.6 | 30.3 | 41.0 |
| eSDC | 19.7 | 32.7 | 40.3 | 50.6 |
| LMNN | 13.5 | 31.3 | 42.3 | 54.1 |
| ITML | 16.0 | 35.2 | 45.6 | 59.8 |
| SalMatch | 28.5 | 45.9 | 55.7 | 68.0 |
| Midlevel | 34.3 | 55.1 | 65.0 | 74.9 |
| Ours | 29.2 | 54.7 | 66.3 | 77.6 |
| MetricEnsembles | 53.4 | 76.7 | 84.4 | 90.1 |
| Ours+kLFDA | 39.5 | 62.1 | 74.3 | 82.9 | | 0 |
| | Labeled | Detected | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| Method | mAP | Rank-1 | Rank-5 | mAP | Rank-1 | Rank-5 |
| GatedSiameseCNN | - | - | - | 51.25 | 61.8 | 80.9 |
| PIE | - | - | - | 67.21 | 61.50 | 89.30 |
| JLML | - | 83.2 | 98.0 | - | 80.6 | 96.9 |
| PAN | 35.03 | 36.86 | 56.86 | 34.00 | 36.29 | 55.50 |
| GoogLeNet+DTL | - | 85.4 | - | - | 84.1 | - |
| PDC | - | 88.70 | - | - | 78.29 | - |
| SpindleNet | - | - | - | - | 88.5 | 97.8 | | | TriNetβ | - | 89.63 | 99.01 | - | 87.58 | 98.17 |
| --- | --- | --- | --- | --- | --- | --- |
| | | | | | | |
| Baseline | 93.6 | 88.2 | 99.4 | 92.0 | 86.4 | 98.1 |
| HumanLandmark | 95.5 | 91.0 | 99.8 | 94.7 | 88.9 | 99.4 |
| PoseOrientation | 95.8 | 90.9 | 99.6 | 94.5 | 89.3 | 99.4 | | 1 |
| | Labeled | Detected | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| Method | mAP | Rank-1 | Rank-5 | mAP | Rank-1 | Rank-5 |
| GatedSiameseCNN | - | - | - | 51.25 | 61.8 | 80.9 |
| PIE | - | - | - | 67.21 | 61.50 | 89.30 |
| JLML | - | 83.2 | 98.0 | - | 80.6 | 96.9 |
| PAN | 35.03 | 36.86 | 56.86 | 34.00 | 36.29 | 55.50 |
| GoogLeNet+DTL | - | 85.4 | - | - | 84.1 | - |
| PDC | - | 88.70 | - | - | 78.29 | - |
| SpindleNet | - | - | - | - | 88.5 | 97.8 | | | Ours | 29.2 | 54.7 | 66.3 | 77.6 |
| --- | --- | --- | --- | --- |
| MetricEnsembles | 53.4 | 76.7 | 84.4 | 90.1 |
| Ours+kLFDA | 39.5 | 62.1 | 74.3 | 82.9 | | 0 |
| Token | Language |
| --- | --- |
| bhai | hi |
| triple | en |
| talaq | hi |
| se | hi |
| aap | hi |
| kya | hi |
| samjhte | hi |
| hai | hi |
| samjhaye | hi | | | aap | hi |
| --- | --- |
| zara | hi |
| .. | rest |
| agar | hi |
| triple | en |
| talaq | hi |
| pta | hi |
| hota | hi |
| apko | hi |
| toh | hi |
| aisa | hi |
| nhi | en |
| kehte | hi |
| .. | rest | | 1 |
| Token | Language |
| --- | --- |
| bhai | hi |
| triple | en |
| talaq | hi |
| se | hi |
| aap | hi |
| kya | hi |
| samjhte | hi |
| hai | hi |
| samjhaye | hi | | | Corpus | Language | #Instances | #Words(F/E) |
| --- | --- | --- | --- |
| HindiTreebank | Hindi | 147 | 963/945 |
| ODIN | German | 105 | 747/774 |
| Irish | 46 | 252/278 | |
| Hausa | 77 | 424/520 | |
| Korean | 103 | 518/731 | |
| Malagasy | 87 | 489/646 | |
| Welsh | 53 | 312/329 | |
| Yaqui | 68 | 350/544 | |
| SMULTRON | German | 281 | 6829/7236 |
| Swedish | 281 | 8402/9377 | | | 0 |
| Token | Language |
| --- | --- |
| bhai | hi |
| triple | en |
| talaq | hi | | | se | hi |
| --- | --- |
| aap | hi |
| kya | hi |
| samjhte | hi |
| hai | hi |
| samjhaye | hi |
| aap | hi |
| zara | hi |
| .. | rest |
| agar | hi |
| triple | en |
| talaq | hi |
| pta | hi |
| hota | hi |
| apko | hi |
| toh | hi |
| aisa | hi |
| nhi | en |
| kehte | hi |
| .. | rest | | 1 |
| Token | Language |
| --- | --- |
| bhai | hi |
| triple | en |
| talaq | hi | | | Yaqui | 68 | 350/544 | |
| --- | --- | --- | --- |
| SMULTRON | German | 281 | 6829/7236 |
| Swedish | 281 | 8402/9377 | | | 0 |
| System | Master | Worker |
| --- | --- | --- |
| Aerospike | - | 2/3GiB | | | Hadoop | 10/17GiB | 10*/17GiB |
| --- | --- | --- |
| HBase | unrestricted | 4/4GiB |
| Storm | unrestricted | 3/2GiB |
| Polypus4t | 4/3GiB | 1/2GiB | | 1 |
| System | Master | Worker |
| --- | --- | --- |
| Aerospike | - | 2/3GiB | | | NodesUsed | 1 | 1-2 | 1-3 | 1-4 | 1-5 | 1-6 | 1-7 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| SizeofDataset(GB) | 10 | 20 | 30 | 40 | 50 | 60 | 70 |
| HadoopTerasort | 645 | 766 | 768 | 773 | 815 | 882 | 901 |
| SphereTerasort | 408 | 409 | 410 | 429 | 430 | 436 | 440 |
| HadoopTerasplit | 141 | 266 | 410 | 544 | 671 | 901 | 1133 |
| SphereTerasplit | 96 | 221 | 350 | 462 | 560 | 663 | 754 |
| TotalHadoop | 786 | 1032 | 1178 | 1317 | 1486 | 1784 | 2034 |
| TotalSphere | 504 | 630 | 760 | 891 | 990 | 1099 | 1194 |
| SpeedupTerasort | 1.6 | 1.9 | 1.9 | 1.8 | 1.9 | 2.0 | 2.0 |
| SpeedupTerasplit | 1.5 | 1.2 | 1.2 | 1.2 | 1.2 | 1.4 | 1.5 |
| Speeduptotal | 1.6 | 1.6 | 1.6 | 1.5 | 1.5 | 1.6 | 1.7 | | 0 |
| System | Master | Worker |
| --- | --- | --- |
| Aerospike | - | 2/3GiB |
| Hadoop | 10/17GiB | 10*/17GiB | | | HBase | unrestricted | 4/4GiB |
| --- | --- | --- |
| Storm | unrestricted | 3/2GiB |
| Polypus4t | 4/3GiB | 1/2GiB | | 1 |
| System | Master | Worker |
| --- | --- | --- |
| Aerospike | - | 2/3GiB |
| Hadoop | 10/17GiB | 10*/17GiB | | | SpeedupTerasort | 1.6 | 1.9 | 1.9 | 1.8 | 1.9 | 2.0 | 2.0 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| SpeedupTerasplit | 1.5 | 1.2 | 1.2 | 1.2 | 1.2 | 1.4 | 1.5 |
| Speeduptotal | 1.6 | 1.6 | 1.6 | 1.5 | 1.5 | 1.6 | 1.7 | | 0 |
| xx12 | Assignment | xx34 | Assignment |
| --- | --- | --- | --- |
| 00 | eβe,eβe,eβe233478 | 00 | eβe,eβe,eβe,eβe,eβe4589125691 |
| 01 | eβe,eβe,eβe233874 | 01 | eβe,eβe,eβe,eβe,eβe4589125196 | | | 10 | eβe,eβe,eβe273478 | 10 | eβe,eβe,eβe,eβe,eβe4985125691 |
| --- | --- | --- | --- |
| 11 | eβe,eβe,eβe273874 | 11 | eβe,eβe,eβe,eβe,eβe4985125196 | | 1 |
| xx12 | Assignment | xx34 | Assignment |
| --- | --- | --- | --- |
| 00 | eβe,eβe,eβe233478 | 00 | eβe,eβe,eβe,eβe,eβe4589125691 |
| 01 | eβe,eβe,eβe233874 | 01 | eβe,eβe,eβe,eβe,eβe4589125196 | | | (30,5,24,2β2β2)<br>371816<br>(38,5,32,2β2β2)<br>4321186β<br>(44,5,38,2β2β2β2)<br>5326216β<br>(54,5,48,2β2β2β2)<br>5929236β<br>(60,5,54,2β2β2β2)<br>6934266β<br>(70,5,64,2β2β2β2)<br>7537286β<br>(76,5,70,2β2β2β2)<br>8341306β<br>(84,5,78,2β2β2β2)<br>8944326β<br>(90,5,84,2β2β2β2)<br>974834326β<br>(98,5,92,2β2β2β2β2) | (36,5,30,2β2β2β2)<br>412017146β<br>(42,5,36,2β2β2β2β2)<br>4723196β<br>(48,5,42,2β2β2β2)<br>572822216β<br>(58,5,52,2β2β2β2β2)<br>6331246β<br>(64,5,48,2β2β2β2)<br>733627246β<br>(74,5,68,2β2β2β2β2)<br>7939296β<br>(80,5,74,2β2β2β2)<br>874331306β<br>(88,5,82,2β2β2β2β2)<br>9346336β<br>(94,5,88,2β2β2β2)<br>9949356β<br>(100,5,94,2β2β2β2) |
| --- | --- |
| (34,6,27,2β2β2)<br>412018<br>(42,6,35,2β2β2)<br>512522<br>(52,6,45,2β2β2)<br>5929247β<br>(60,6,53,2β2β2β2)<br>6532267β<br>(66,6,59,2β2β2β2)<br>7537297β<br>(76,6,69,2β2β2β2)<br>8140317β<br>(82,6,75,2β2β2β2)<br>894433327β<br>(90,6,83,2β2β2β2β2)<br>9547357β<br>(96,6,89,2β2β2β2) | (40,6,33,2β2β2β2β2)<br>4723207β<br>(48,6,41,2β2β2β2)<br>5326227β<br>(54,6,47,2β2β2β2)<br>633125247β<br>(64,6,47,2β2β2β2β2)<br>6934277β<br>(70,6,63,2β2β2β2)<br>793930297β<br>(80,6,73,2β2β2β2β2)<br>8542327β<br>(86,6,79,2β2β2β2)<br>9145347β<br>(92,6,85,2β2β2β2)<br>994936357β<br>(100,6,93,2β2β2β2β2) |
| (38,7,30,2β2β2β2)<br>452220<br>(46,7,38,2β2β2)<br>512522218β<br>(52,7,44,2β2β2β2β2)<br>572824238β<br>(58,7,50,2β2β2β2β2)<br>633126258β<br>(64,7,46,2β2β2β2β2)<br>693428278β<br>(70,7,62,2β2β2β2β2)<br>7337308β<br>(76,7,68,2β2β2β2)<br>8140328β<br>(82,7,74,2β2β2β2)<br>8743348β<br>(88,7,80,2β2β2β2)<br>9748378β<br>(98,7,90,2β2β2β2) | (40,7,32,2β2β2)<br>472321<br>(48,7,40,2β2β2)<br>532623<br>(54,7,46,2β2β2)<br>5929258β<br>(60,7,52,2β2β2β2)<br>6532278β<br>(66,7,58,2β2β2β2)<br>7135298β<br>(72,7,64,2β2β2β2)<br>7738318β<br>(78,7,70,2β2β2β2)<br>854233328β<br>(86,7,78,2β2β2β2β2)<br>9145358β<br>(92,7,84,2β2β2β2)<br>9949388β<br>(100,7,92,2β2β2β2) |
| (42,8,33,2β2β2β2)<br>49242221<br>(50,8,41,2β2β2β2)<br>5728259β<br>(58,8,49,2β2β2β2)<br>67332529<br>(68,8,59,2β2β2β2)<br>7135309β<br>(72,8,63,2β2β2β2)<br>7738329β<br>(78,8,69,2β2β2β2)<br>8743359β<br>(88,8,79,2β2β2β2)<br>9346379β<br>(94,8,85,2β2β2β2)<br>9949399β<br>(100,8,91,2β2β2β2) | (44,8,35,2β2β2)<br>512523<br>(52,8,43,2β2β2)<br>6331279β<br>(64,8,45,2β2β2β2)<br>693429279β<br>(70,8,61,2β2β2β2β2)<br>753731289β<br>(76,8,67,2β2β2β2β2)<br>8140339β<br>(82,8,73,2β2β2β2)<br>914536359β<br>(92,8,83,2β2β2β2β2)<br>974838369β<br>(98,8,89,2β2β2β2β2)<br>19999689β<br>(200,8,191,2β2β2β2) |
| (46,9,36,2β2β2β2β2β2)<br>5326242322<br>(54,9,44,2β2β2β2β2)<br>61302726<br>(62,9,52,2β2β2β2)<br>673329282710β<br>(68,9,58,2β2β2β2β2β2)<br>733632<br>(74,9,64,2β2β2<br>79393410β<br>(80,9,70,2β2β2β2)<br>87433610β<br>(88,9,78,2β2β2β2)<br>9748393810β<br>(98,9,88,2β2β2β2β2) | (48,9,38,2β2β2)<br>552725<br>(56,9,46,2β2β2)<br>633128<br>(64,9,44,2β2β2)<br>69343010β<br>(70,9,60,2β2β2β2)<br>75373210β<br>(76,9,66,2β2β2β2)<br>81403410β<br>(82,9,72,2β2β2β2)<br>93463810β<br>(94,9,84,2β2β2β2)<br>99494010β<br>(100,9,90,2β2β2β2) |
| (52,10,41,2β2β2)<br>β6532292827262511<br>(66,10,55,2β2β2β2β2β2β2β2)<br>7336323011β<br>(74,10,63,2β2β2β2β2)<br>7939343311β<br>(80,10,69,2β2β2β2β2)<br>83413611β<br>(84,10,73,2β2β2β2)<br>87433711β<br>(88,10,77,2β2β2β2)<br>93463911β<br>(94,10,83,2β2β2β2)<br>99494111β<br>(100,10,89,2β2β2β2) | (60,10,49,2β2β2)<br>673330<br>(68,10,57,2β2β2)<br>753733<br>(76,10,65,2β2β2)<br>81403511β<br>(82,10,71,2β2β2β2)<br>854236353411β<br>(86,10,75,2β2β2β2β2β2)<br>91453837363511β<br>(92,10,81,2β2β2β2β2β2β2)<br>974840393811β<br>(98,10,87,2β2β2β2β2β2)<br>49924915311β<br>(500,10,489,2β2β2β2) |
| (100,21,78,2β2β2)<br>18391898786<br>(184,38,145,2β2β2β2β2)<br>831415414413<br>(832,200,631,2β2β2β2) | (200,45,154,2β2β2)<br>515255253<br>(516,116,399,2β2β2)<br>99994999499849974996<br>(10000,2475,7524,2β2β2β2β2) | | 0 |
| xx12 | Assignment | xx34 | Assignment |
| --- | --- | --- | --- |
| 00 | eβe,eβe,eβe233478 | 00 | eβe,eβe,eβe,eβe,eβe4589125691 | | | 01 | eβe,eβe,eβe233874 | 01 | eβe,eβe,eβe,eβe,eβe4589125196 |
| --- | --- | --- | --- |
| 10 | eβe,eβe,eβe273478 | 10 | eβe,eβe,eβe,eβe,eβe4985125691 |
| 11 | eβe,eβe,eβe273874 | 11 | eβe,eβe,eβe,eβe,eβe4985125196 | | 1 |
| xx12 | Assignment | xx34 | Assignment |
| --- | --- | --- | --- |
| 00 | eβe,eβe,eβe233478 | 00 | eβe,eβe,eβe,eβe,eβe4589125691 | | | (52,10,41,2β2β2)<br>β6532292827262511<br>(66,10,55,2β2β2β2β2β2β2β2)<br>7336323011β<br>(74,10,63,2β2β2β2β2)<br>7939343311β<br>(80,10,69,2β2β2β2β2)<br>83413611β<br>(84,10,73,2β2β2β2)<br>87433711β<br>(88,10,77,2β2β2β2)<br>93463911β<br>(94,10,83,2β2β2β2)<br>99494111β<br>(100,10,89,2β2β2β2) | (60,10,49,2β2β2)<br>673330<br>(68,10,57,2β2β2)<br>753733<br>(76,10,65,2β2β2)<br>81403511β<br>(82,10,71,2β2β2β2)<br>854236353411β<br>(86,10,75,2β2β2β2β2β2)<br>91453837363511β<br>(92,10,81,2β2β2β2β2β2β2)<br>974840393811β<br>(98,10,87,2β2β2β2β2β2)<br>49924915311β<br>(500,10,489,2β2β2β2) |
| --- | --- |
| (100,21,78,2β2β2)<br>18391898786<br>(184,38,145,2β2β2β2β2)<br>831415414413<br>(832,200,631,2β2β2β2) | (200,45,154,2β2β2)<br>515255253<br>(516,116,399,2β2β2)<br>99994999499849974996<br>(10000,2475,7524,2β2β2β2β2) | | 0 |
| | ProcessingTime | RenderingTime |
| --- | --- | --- |
| 3DObject | 25ms | 9ms | | | Processing | 23ms | <1ms |
| --- | --- | --- |
| CollisionDetection | <1ms | <1ms |
| NetworkTransmission | 5ms | β |
| TotalTime | β73ms(framerateβ14fps) | | | 1 |
| | ProcessingTime | RenderingTime |
| --- | --- | --- |
| 3DObject | 25ms | 9ms | | | | Time |
| --- | --- |
| O-GM10 | 35ms |
| 2Dpointprocessing | 31ms |
| 2Dlineprocessing | 40ms |
| 3DlineRANSACsampling | 2.3ms |
| 3DlineFitting(perline)β | 0.1ms |
| Planeextraction | 29ms |
| Planeο¬tting(perplane)β | 1.5ms |
| Planematchingβ | 3ms |
| Poseestimationβ | 33ms | | 0 |
| | ProcessingTime | RenderingTime |
| --- | --- | --- |
| 3DObject | 25ms | 9ms |
| Processing | 23ms | <1ms | | | CollisionDetection | <1ms | <1ms |
| --- | --- | --- |
| NetworkTransmission | 5ms | β |
| TotalTime | β73ms(framerateβ14fps) | | | 1 |
| | ProcessingTime | RenderingTime |
| --- | --- | --- |
| 3DObject | 25ms | 9ms |
| Processing | 23ms | <1ms | | | 3DlineFitting(perline)β | 0.1ms |
| --- | --- |
| Planeextraction | 29ms |
| Planeο¬tting(perplane)β | 1.5ms |
| Planematchingβ | 3ms |
| Poseestimationβ | 33ms | | 0 |
| kernel | PSF |
| --- | --- |
| 1 | diskwithradius=5 |
| 2 | H=hh,h=[193684126126843691]0 | | | 3 | GaussianwithΟ=2.6 |
| --- | --- |
| 4 | H=1/(1+x+x),x,x=-7,...,712 | | 1 |
| kernel | PSF |
| --- | --- |
| 1 | diskwithradius=5 |
| 2 | H=hh,h=[193684126126843691]0 | | | Shuttle | ImageObject |
| --- | --- |
| K=15,L=50 | K=15,L=50 |
| k=5 | k=5 |
| k=5 | k=5 |
| k=5 | k=5 |
| k=k=5reachcomp<br>Ξ»=0.2 | k=k=5reachcomp<br>Ξ»=0.2 |
| k=5 | k=5 |
| k=5 | k=5 |
| k=k=5minmax<br>Banwidth=5,scale=0.2<br>GaussianKernel | k=k=5minmax<br>Banwidth=5,scale=0.2<br>GaussianKernel |
| k=5 | k=5 |
| h=1,c=0.1<br>GaussianKernel | h=1,c=0.1<br>GaussianKernel |
| k=5,m=0.5 | k=5,m=0.5 |
| k=5,\|S1\|=320,\|S2\|=2 | k=5,\|S1\|=320,\|S2\|=2 | | 0 |
| kernel | PSF |
| --- | --- |
| 1 | diskwithradius=5 |
| 2 | H=hh,h=[193684126126843691]0 | | | 3 | GaussianwithΟ=2.6 |
| --- | --- |
| 4 | H=1/(1+x+x),x,x=-7,...,712 | | 1 |
| kernel | PSF |
| --- | --- |
| 1 | diskwithradius=5 |
| 2 | H=hh,h=[193684126126843691]0 | | | k=k=5reachcomp<br>Ξ»=0.2 | k=k=5reachcomp<br>Ξ»=0.2 |
| --- | --- |
| k=5 | k=5 |
| k=5 | k=5 |
| k=k=5minmax<br>Banwidth=5,scale=0.2<br>GaussianKernel | k=k=5minmax<br>Banwidth=5,scale=0.2<br>GaussianKernel |
| k=5 | k=5 |
| h=1,c=0.1<br>GaussianKernel | h=1,c=0.1<br>GaussianKernel |
| k=5,m=0.5 | k=5,m=0.5 |
| k=5,\|S1\|=320,\|S2\|=2 | k=5,\|S1\|=320,\|S2\|=2 | | 0 |
| Year | Site | Machine | Procs | Tο¬op/s |
| --- | --- | --- | --- | --- |
| 2012 | OLCF | CrayXT5(Jaguar) | 262144 | 1790 |
| 2012 | LANL | Appro(Mustang) | 24576 | 163 |
| 2011 | LANL | SGIXE1300 | 4096 | 41.7 |
| 2006 | LANL | LinuxNetworx | 448 | 1.88 |
| 2003 | LANL | HP/Compaq(QB) | 3600 | 2.79 | | | 2002 | NERSC | IBMSP-3(375/W) | 256 | 0.058 |
| --- | --- | --- | --- | --- |
| 1996 | Sandia | Intel(ASCIRed) | 6800 | 0.465 |
| 1995 | JPL | CrayT3D | 256 | 0.008 |
| 1995 | LANL | TMCCM-5 | 512 | 0.014 |
| 1993 | Caltech | IntelDelta | 512 | 0.010 | | 1 |
| Year | Site | Machine | Procs | Tο¬op/s |
| --- | --- | --- | --- | --- |
| 2012 | OLCF | CrayXT5(Jaguar) | 262144 | 1790 |
| 2012 | LANL | Appro(Mustang) | 24576 | 163 |
| 2011 | LANL | SGIXE1300 | 4096 | 41.7 |
| 2006 | LANL | LinuxNetworx | 448 | 1.88 |
| 2003 | LANL | HP/Compaq(QB) | 3600 | 2.79 | | | | ASD | PASCAL-S | ECSSD | DUT-OMRON | THUR15K |
| --- | --- | --- | --- | --- | --- |
| Ours | 0.924 | 0.771 | 0.867 | 0.719 | 0.731 |
| MCDL | 0.928 | 0.737 | 0.837 | 0.703 | 0.686 |
| MDF | 0.931 | 0.759 | 0.831 | 0.694 | 0.670 |
| LEGS | 0.905 | 0.749 | 0.831 | 0.669 | 0.664 |
| DRFI | 0.919 | 0.692 | 0.787 | 0.665 | 0.670 |
| DSR | 0.886 | 0.645 | 0.737 | 0.626 | 0.611 |
| GMR | 0.909 | 0.664 | 0.740 | 0.610 | 0.597 |
| HDCT | 0.884 | 0.604 | 0.705 | 0.609 | 0.602 |
| HS | 0.902 | 0.637 | 0.731 | 0.616 | 0.585 | | 0 |
| Year | Site | Machine | Procs | Tο¬op/s |
| --- | --- | --- | --- | --- |
| 2012 | OLCF | CrayXT5(Jaguar) | 262144 | 1790 | | | 2012 | LANL | Appro(Mustang) | 24576 | 163 |
| --- | --- | --- | --- | --- |
| 2011 | LANL | SGIXE1300 | 4096 | 41.7 |
| 2006 | LANL | LinuxNetworx | 448 | 1.88 |
| 2003 | LANL | HP/Compaq(QB) | 3600 | 2.79 |
| 2002 | NERSC | IBMSP-3(375/W) | 256 | 0.058 |
| 1996 | Sandia | Intel(ASCIRed) | 6800 | 0.465 |
| 1995 | JPL | CrayT3D | 256 | 0.008 |
| 1995 | LANL | TMCCM-5 | 512 | 0.014 |
| 1993 | Caltech | IntelDelta | 512 | 0.010 | | 1 |
| Year | Site | Machine | Procs | Tο¬op/s |
| --- | --- | --- | --- | --- |
| 2012 | OLCF | CrayXT5(Jaguar) | 262144 | 1790 | | | MDF | 0.931 | 0.759 | 0.831 | 0.694 | 0.670 |
| --- | --- | --- | --- | --- | --- |
| LEGS | 0.905 | 0.749 | 0.831 | 0.669 | 0.664 |
| DRFI | 0.919 | 0.692 | 0.787 | 0.665 | 0.670 |
| DSR | 0.886 | 0.645 | 0.737 | 0.626 | 0.611 |
| GMR | 0.909 | 0.664 | 0.740 | 0.610 | 0.597 |
| HDCT | 0.884 | 0.604 | 0.705 | 0.609 | 0.602 |
| HS | 0.902 | 0.637 | 0.731 | 0.616 | 0.585 | | 0 |
| | Imageset | Experiment |
| --- | --- | --- |
| 1<br>2<br>3<br>4<br>5<br>6<br>7<br>8<br>9 | Cor.30wks | 25Γ25patch<br>25Γ25Γ25patch<br>51Γ51patch<br>51Γ51Γ51patch<br>75Γ75patch<br>75Γ75,multi-scale |
| 3patchsizes | | | | | 3patchsizes,slices<br>3patchsizes,ortho | | |
| --- | --- | --- |
| 10<br>11 | Youngadults | 3patchsizes |
| 3patchsizes,ortho | | |
| | Imageset | Experiment |
| 1<br>2<br>3<br>4<br>5<br>6<br>7<br>8<br>9 | Cor.30wks | 25Γ25patch<br>25Γ25Γ25patch<br>51Γ51patch<br>51Γ51Γ51patch<br>75Γ75patch<br>75Γ75,multi-scale |
| 3patchsizes | | |
| 3patchsizes,slices<br>3patchsizes,ortho | | |
| 10<br>11 | Youngadults | 3patchsizes |
| 3patchsizes,ortho | | | | 1 |
| | Imageset | Experiment |
| --- | --- | --- |
| 1<br>2<br>3<br>4<br>5<br>6<br>7<br>8<br>9 | Cor.30wks | 25Γ25patch<br>25Γ25Γ25patch<br>51Γ51patch<br>51Γ51Γ51patch<br>75Γ75patch<br>75Γ75,multi-scale |
| 3patchsizes | | | | | | Imageset | Experiment |
| --- | --- | --- |
| 1<br>2 | Cor.30wks | 5training,5test<br>LOSO10,NBS12 |
| 3 | Cor.40wks | LOSO5,NBS12 |
| 4<br>5 | Ax.40wks | LOSO7<br>LOSO7,NBS12 |
| 6 | Ageingadults | 5training,15test |
| 7<br>8 | Youngadults | 5training,10test<br>15training,20test |
| | Imageset | Experiment |
| 1<br>2 | Cor.30wks | 5training,5test<br>LOSO10,NBS12 |
| 3 | Cor.40wks | LOSO5,NBS12 |
| 4<br>5 | Ax.40wks | LOSO7<br>LOSO7,NBS12 |
| 6 | Ageingadults | 5training,15test |
| 7<br>8 | Youngadults | 5training,10test<br>15training,20test | | 0 |
| | Imageset | Experiment |
| --- | --- | --- |
| 1<br>2<br>3<br>4<br>5<br>6<br>7<br>8<br>9 | Cor.30wks | 25Γ25patch<br>25Γ25Γ25patch<br>51Γ51patch<br>51Γ51Γ51patch<br>75Γ75patch<br>75Γ75,multi-scale |
| 3patchsizes | | | | | 3patchsizes,slices<br>3patchsizes,ortho | | |
| --- | --- | --- |
| 10<br>11 | Youngadults | 3patchsizes |
| 3patchsizes,ortho | | |
| | Imageset | Experiment |
| 1<br>2<br>3<br>4<br>5<br>6<br>7<br>8<br>9 | Cor.30wks | 25Γ25patch<br>25Γ25Γ25patch<br>51Γ51patch<br>51Γ51Γ51patch<br>75Γ75patch<br>75Γ75,multi-scale |
| 3patchsizes | | |
| 3patchsizes,slices<br>3patchsizes,ortho | | |
| 10<br>11 | Youngadults | 3patchsizes |
| 3patchsizes,ortho | | | | 1 |
| | Imageset | Experiment |
| --- | --- | --- |
| 1<br>2<br>3<br>4<br>5<br>6<br>7<br>8<br>9 | Cor.30wks | 25Γ25patch<br>25Γ25Γ25patch<br>51Γ51patch<br>51Γ51Γ51patch<br>75Γ75patch<br>75Γ75,multi-scale |
| 3patchsizes | | | | | 1<br>2 | Cor.30wks | 5training,5test<br>LOSO10,NBS12 |
| --- | --- | --- |
| 3 | Cor.40wks | LOSO5,NBS12 |
| 4<br>5 | Ax.40wks | LOSO7<br>LOSO7,NBS12 |
| 6 | Ageingadults | 5training,15test |
| 7<br>8 | Youngadults | 5training,10test<br>15training,20test | | 0 |
| CorrectionType | #ofcorrection | |
| --- | --- | --- |
| Polarity | Hollande | Sarkozy |
| Contents-based<br>Rules-basedwithannotators<br>Rules-basedwithnickname<br>Rules-basedwithML<br>Rules-basedwithHashtags<br>Committee-based<br>Reject | 30<br>15<br>141<br>24<br>13<br>101<br>1 | 15<br>71<br>446<br>25<br>38<br>411<br>9 |
| Total | 324 | 1015 |
| Aspects | Hollande | Sarkozy | | | Contents-based<br>Rules-basedwithannotators<br>Rules-basedwithnickname<br>Rules-basedwithML<br>Rules-basedwithHashtags<br>Committee-based<br>Reject<br>Newannotation | 0<br>885<br>0<br>103<br>0<br>94<br>0<br>349 | 28<br>372<br>3<br>217<br>6<br>25<br>61<br>297 |
| --- | --- | --- |
| Total | 1401 | 1009 | | 1 |
| CorrectionType | #ofcorrection | |
| --- | --- | --- |
| Polarity | Hollande | Sarkozy |
| Contents-based<br>Rules-basedwithannotators<br>Rules-basedwithnickname<br>Rules-basedwithML<br>Rules-basedwithHashtags<br>Committee-based<br>Reject | 30<br>15<br>141<br>24<br>13<br>101<br>1 | 15<br>71<br>446<br>25<br>38<br>411<br>9 |
| Total | 324 | 1015 |
| Aspects | Hollande | Sarkozy | | | SystemName | BlogSum<br>R-2 | MEAD<br>R-2 | TAC-Best<br>R-2 |
| --- | --- | --- | --- |
| Baseline | 0.102β | 0.041β | 0.130 |
| w/oIllustration | 0.107β | 0.022β | 0.112β |
| w/oContingency | 0.093β | 0.025β | 0.102β |
| w/oComparison | 0.103β | 0.033β | 0.113β |
| w/oAttributive | 0.113β | 0.050 | 0.124 |
| w/oTopic-opinion | 0.112β | 0.049 | 0.123 |
| w/oAttribution | 0.118β | 0.051β | 0.128 |
| withallRelations | 0.125 | .053 | 0.138 | | 0 |
| CorrectionType | #ofcorrection | |
| --- | --- | --- |
| Polarity | Hollande | Sarkozy |
| Contents-based<br>Rules-basedwithannotators<br>Rules-basedwithnickname<br>Rules-basedwithML<br>Rules-basedwithHashtags<br>Committee-based<br>Reject | 30<br>15<br>141<br>24<br>13<br>101<br>1 | 15<br>71<br>446<br>25<br>38<br>411<br>9 | | | Total | 324 | 1015 |
| --- | --- | --- |
| Aspects | Hollande | Sarkozy |
| Contents-based<br>Rules-basedwithannotators<br>Rules-basedwithnickname<br>Rules-basedwithML<br>Rules-basedwithHashtags<br>Committee-based<br>Reject<br>Newannotation | 0<br>885<br>0<br>103<br>0<br>94<br>0<br>349 | 28<br>372<br>3<br>217<br>6<br>25<br>61<br>297 |
| Total | 1401 | 1009 | | 1 |
| CorrectionType | #ofcorrection | |
| --- | --- | --- |
| Polarity | Hollande | Sarkozy |
| Contents-based<br>Rules-basedwithannotators<br>Rules-basedwithnickname<br>Rules-basedwithML<br>Rules-basedwithHashtags<br>Committee-based<br>Reject | 30<br>15<br>141<br>24<br>13<br>101<br>1 | 15<br>71<br>446<br>25<br>38<br>411<br>9 | | | w/oTopic-opinion | 0.112β | 0.049 | 0.123 |
| --- | --- | --- | --- |
| w/oAttribution | 0.118β | 0.051β | 0.128 |
| withallRelations | 0.125 | .053 | 0.138 | | 0 |
| ML | TPR | FPR | TNR | FNR | W-FM |
| --- | --- | --- | --- | --- | --- |
| SVM-linear | 0.905 | 0.109 | 0.891 | 0.095 | 0.907 | | | NB | 0.596 | 0.102 | 0.898 | 0.404 | 0.73 |
| --- | --- | --- | --- | --- | --- |
| SL | 0.902 | 0.098 | 0.902 | 0.098 | 0.902 |
| MLP | 0.905 | 0.072 | 0.928 | 0.095 | 0.916 |
| PART | 0.899 | 0.106 | 0.894 | 0.101 | 0.897 |
| RF | 0.918 | 0.064 | 0.936 | 0.082 | 0.926 |
| J48 | 0.88 | 0.125 | 0.875 | 0.12 | 0.878 | | 1 |
| ML | TPR | FPR | TNR | FNR | W-FM |
| --- | --- | --- | --- | --- | --- |
| SVM-linear | 0.905 | 0.109 | 0.891 | 0.095 | 0.907 | | | ML | TPR | FPR | TNR | FNR | W-FM |
| --- | --- | --- | --- | --- | --- |
| SVM-linear | 0.909 | 0.109 | 0.891 | 0.091 | 0.9 |
| NB | 0.596 | 0.102 | 0.898 | 0.404 | 0.73 |
| SL | 0.899 | 0.102 | 0.898 | 0.101 | 0.899 |
| MLP | 0.924 | 0.098 | 0.902 | 0.076 | 0.914 |
| PART | 0.896 | 0.109 | 0.891 | 0.104 | 0.894 |
| RF | 0.909 | 0.068 | 0.932 | 0.091 | 0.919 |
| J48 | 0.88 | 0.125 | 0.875 | 0.12 | 0.878 | | 0 |
| ML | TPR | FPR | TNR | FNR | W-FM |
| --- | --- | --- | --- | --- | --- |
| SVM-linear | 0.905 | 0.109 | 0.891 | 0.095 | 0.907 |
| NB | 0.596 | 0.102 | 0.898 | 0.404 | 0.73 |
| SL | 0.902 | 0.098 | 0.902 | 0.098 | 0.902 |
| MLP | 0.905 | 0.072 | 0.928 | 0.095 | 0.916 | | | PART | 0.899 | 0.106 | 0.894 | 0.101 | 0.897 |
| --- | --- | --- | --- | --- | --- |
| RF | 0.918 | 0.064 | 0.936 | 0.082 | 0.926 |
| J48 | 0.88 | 0.125 | 0.875 | 0.12 | 0.878 | | 1 |
| ML | TPR | FPR | TNR | FNR | W-FM |
| --- | --- | --- | --- | --- | --- |
| SVM-linear | 0.905 | 0.109 | 0.891 | 0.095 | 0.907 |
| NB | 0.596 | 0.102 | 0.898 | 0.404 | 0.73 |
| SL | 0.902 | 0.098 | 0.902 | 0.098 | 0.902 |
| MLP | 0.905 | 0.072 | 0.928 | 0.095 | 0.916 | | | RF | 0.909 | 0.068 | 0.932 | 0.091 | 0.919 |
| --- | --- | --- | --- | --- | --- |
| J48 | 0.88 | 0.125 | 0.875 | 0.12 | 0.878 | | 0 |
| 3<br>10Modularreductions | GoogleNexus7 |
| --- | --- |
| Classical | 546 |
| Barrett | 579 | | | FirstMethod | 569 |
| --- | --- |
| SecondMethod | 860 | | 1 |
| 3<br>10Modularreductions | GoogleNexus7 |
| --- | --- |
| Classical | 546 |
| Barrett | 579 | | | 9<br>xmod(N) | n=6000 | 12288 | 24576 | 49152 |
| --- | --- | --- | --- | --- |
| Classical | 2998 | 9945 | 34029 | 131817 |
| Barrett | 3126 | 8072 | 22779 | 72533 |
| FirstMethod | 3965 | 8421 | 21840 | 68012 |
| SecondMethod | 4975 | 8629 | 19946 | 58948 | | 0 |
| 3<br>10Modularreductions | GoogleNexus7 |
| --- | --- |
| Classical | 546 |
| Barrett | 579 | | | FirstMethod | 569 |
| --- | --- |
| SecondMethod | 860 | | 1 |
| 3<br>10Modularreductions | GoogleNexus7 |
| --- | --- |
| Classical | 546 |
| Barrett | 579 | | | Barrett | 3126 | 8072 | 22779 | 72533 |
| --- | --- | --- | --- | --- |
| FirstMethod | 3965 | 8421 | 21840 | 68012 |
| SecondMethod | 4975 | 8629 | 19946 | 58948 | | 0 |
| Depth | Para | C-10 |
| --- | --- | --- |
| - | | 7.25 |
| 110 | 1.7M | 6.61 |
| 28 | 36.5M | 4.17 |
| 1001 | 10.2M | 4.62 | | | 40<br>100<br>100<br>190 | 1.0M<br>7.0M<br>27.2M<br>25.6M | 5.24<br>4.10<br>3.74<br>3.46 |
| --- | --- | --- |
| -<br>- | -<br>11.2M | 7.32<br>6.92 |
| 15<br>20<br>39<br>39 | 4.2M<br>2.5M<br>7.1M<br>37.4M | 5.50<br>6.01<br>4.47<br>3.65 |
| 25<br>37<br>19<br>22 | -<br>-<br>6.1M<br>39.8M | 3.60<br>3.80<br>4.38<br>3.54 | | 1 |
| Depth | Para | C-10 |
| --- | --- | --- |
| - | | 7.25 |
| 110 | 1.7M | 6.61 |
| 28 | 36.5M | 4.17 |
| 1001 | 10.2M | 4.62 | | | #Params | RVD | |
| --- | --- | --- |
| @1 | @10 | |
| 0.09m<br>1.82m | 0.106<br>0.190 | 0.316<br>0.452 |
| 10.2m<br>10.6m<br>10.4m<br>10.8m | 0.175<br>0.187<br>0.286<br>0.293 | 0.465<br>0.492<br>0.573<br>0.581 |
| 11.1m<br>11.7m | 0.307<br>0.308 | 0.600<br>0.608 | | 0 |
| Depth | Para | C-10 |
| --- | --- | --- |
| - | | 7.25 |
| 110 | 1.7M | 6.61 |
| 28 | 36.5M | 4.17 | | | 1001 | 10.2M | 4.62 |
| --- | --- | --- |
| 40<br>100<br>100<br>190 | 1.0M<br>7.0M<br>27.2M<br>25.6M | 5.24<br>4.10<br>3.74<br>3.46 |
| -<br>- | -<br>11.2M | 7.32<br>6.92 |
| 15<br>20<br>39<br>39 | 4.2M<br>2.5M<br>7.1M<br>37.4M | 5.50<br>6.01<br>4.47<br>3.65 |
| 25<br>37<br>19<br>22 | -<br>-<br>6.1M<br>39.8M | 3.60<br>3.80<br>4.38<br>3.54 | | 1 |
| Depth | Para | C-10 |
| --- | --- | --- |
| - | | 7.25 |
| 110 | 1.7M | 6.61 |
| 28 | 36.5M | 4.17 | | | 0.09m<br>1.82m | 0.106<br>0.190 | 0.316<br>0.452 |
| --- | --- | --- |
| 10.2m<br>10.6m<br>10.4m<br>10.8m | 0.175<br>0.187<br>0.286<br>0.293 | 0.465<br>0.492<br>0.573<br>0.581 |
| 11.1m<br>11.7m | 0.307<br>0.308 | 0.600<br>0.608 | | 0 |
| Threshold | 0.4 | 0.5 | 0.6 | 0.7 | 0.8 | 0.9 | 1.0 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Sensitivity | 1 | 1 | 1 | 0.99 | 0.96 | 0.76 | 0.31 |
| Speciο¬city | 0 | 0.01 | 0.03 | 0.14 | 0.51 | 0.88 | 0.98 |
| Accuracy | 0.53 | 0.54 | 0.55 | 0.59 | 0.75 | 0.82 | 0.62 |
| R0 | 0.00 | 0.01 | 0.03 | 0.14 | 0.51 | 0.88 | 0.98 | | | R1 | 1.00 | 1.00 | 1.00 | 0.97 | 0.92 | 0.60 | 0.18 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| R2 | 1.00 | 1.00 | 1.00 | 1.00 | 0.96 | 0.72 | 0.29 |
| R3 | 1.00 | 1.00 | 1.00 | 1.00 | 0.98 | 0.92 | 0.42 | | 1 |
| Threshold | 0.4 | 0.5 | 0.6 | 0.7 | 0.8 | 0.9 | 1.0 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Sensitivity | 1 | 1 | 1 | 0.99 | 0.96 | 0.76 | 0.31 |
| Speciο¬city | 0 | 0.01 | 0.03 | 0.14 | 0.51 | 0.88 | 0.98 |
| Accuracy | 0.53 | 0.54 | 0.55 | 0.59 | 0.75 | 0.82 | 0.62 |
| R0 | 0.00 | 0.01 | 0.03 | 0.14 | 0.51 | 0.88 | 0.98 | | | Accuracy/n | 100 | 1K | 10K | 50K |
| --- | --- | --- | --- | --- |
| 0.5 | 1 | 0.99 | 0.52 | 0.78 |
| 0.6 | 1 | 0.92 | 0.75 | 0.88 |
| 0.7 | 0.99 | 0.15 | 0.87 | 0.63 |
| 0.8 | 0.93 | 0.49 | 0.51 | 0.12 |
| 0.9 | 0.93 | 0.75 | 0.28 | 0.47 |
| 1.0 | 0.84 | 0.48 | 0.43 | 0.64 | | 0 |
| Threshold | 0.4 | 0.5 | 0.6 | 0.7 | 0.8 | 0.9 | 1.0 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Sensitivity | 1 | 1 | 1 | 0.99 | 0.96 | 0.76 | 0.31 | | | Speciο¬city | 0 | 0.01 | 0.03 | 0.14 | 0.51 | 0.88 | 0.98 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Accuracy | 0.53 | 0.54 | 0.55 | 0.59 | 0.75 | 0.82 | 0.62 |
| R0 | 0.00 | 0.01 | 0.03 | 0.14 | 0.51 | 0.88 | 0.98 |
| R1 | 1.00 | 1.00 | 1.00 | 0.97 | 0.92 | 0.60 | 0.18 |
| R2 | 1.00 | 1.00 | 1.00 | 1.00 | 0.96 | 0.72 | 0.29 |
| R3 | 1.00 | 1.00 | 1.00 | 1.00 | 0.98 | 0.92 | 0.42 | | 1 |
| Threshold | 0.4 | 0.5 | 0.6 | 0.7 | 0.8 | 0.9 | 1.0 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Sensitivity | 1 | 1 | 1 | 0.99 | 0.96 | 0.76 | 0.31 | | | 0.7 | 0.99 | 0.15 | 0.87 | 0.63 |
| --- | --- | --- | --- | --- |
| 0.8 | 0.93 | 0.49 | 0.51 | 0.12 |
| 0.9 | 0.93 | 0.75 | 0.28 | 0.47 |
| 1.0 | 0.84 | 0.48 | 0.43 | 0.64 | | 0 |
| Stage | cellradius | #ofnuclei | #ofchromosomes | avg.time(min) |
| --- | --- | --- | --- | --- |
| 1 | 3r/4 | single | single | 40 | | | 2 | r | single | single | 30 |
| --- | --- | --- | --- | --- |
| 3 | r | single | double | 25 |
| 4 | r | double | double | 5 | | 1 |
| Stage | cellradius | #ofnuclei | #ofchromosomes | avg.time(min) |
| --- | --- | --- | --- | --- |
| 1 | 3r/4 | single | single | 40 | | | Method | Protein | DNA | Music | Sports | Compound |
| --- | --- | --- | --- | --- | --- |
| ESP+SFM(D=128) | 5 | 8 | 11 | 204 | 261 |
| ESP+SFM(D=512) | 22 | 34 | 47 | 799 | 1,022 |
| ESP+SFM(D=2048) | 93 | 138 | 193 | 3,149 | 4,101 |
| ESP+SFM(D=8192) | 367 | 544 | 729 | 12,179 | 16,425 |
| ESP+SFM(D=16384) | 725 | 1,081 | 1,430 | 24,282 | 32,651 |
| CGK+SFM(D=128) | 14 | 52 | 26 | 452 | 397 |
| CGK+SFM(D=512) | 60 | 222 | 104 | 1,747 | 1,570 |
| CGK+SFM(D=2048) | 237 | 981 | 415 | 7,156 | 6,252 |
| CGK+SFM(D=8192) | 969 | 3,693 | 1,688 | 27,790 | 25,054 |
| CGK+SFM(D=16384) | 1,937 | 7,596 | 3,366 | 53,482 | 49,060 |
| LAK | 31,718 | - | - | - | - |
| GAK | 25,252 | >48h | 101,079 | >48h | >48h |
| ESP+Kernel | 20 | 28 | 162 | >48h | >48h |
| CGK+Kernel | 31 | 95 | 196 | >48h | >48h | | 0 |
| Stage | cellradius | #ofnuclei | #ofchromosomes | avg.time(min) |
| --- | --- | --- | --- | --- |
| 1 | 3r/4 | single | single | 40 |
| 2 | r | single | single | 30 | | | 3 | r | single | double | 25 |
| --- | --- | --- | --- | --- |
| 4 | r | double | double | 5 | | 1 |
| Stage | cellradius | #ofnuclei | #ofchromosomes | avg.time(min) |
| --- | --- | --- | --- | --- |
| 1 | 3r/4 | single | single | 40 |
| 2 | r | single | single | 30 | | | ESP+SFM(D=8192) | 367 | 544 | 729 | 12,179 | 16,425 |
| --- | --- | --- | --- | --- | --- |
| ESP+SFM(D=16384) | 725 | 1,081 | 1,430 | 24,282 | 32,651 |
| CGK+SFM(D=128) | 14 | 52 | 26 | 452 | 397 |
| CGK+SFM(D=512) | 60 | 222 | 104 | 1,747 | 1,570 |
| CGK+SFM(D=2048) | 237 | 981 | 415 | 7,156 | 6,252 |
| CGK+SFM(D=8192) | 969 | 3,693 | 1,688 | 27,790 | 25,054 |
| CGK+SFM(D=16384) | 1,937 | 7,596 | 3,366 | 53,482 | 49,060 |
| LAK | 31,718 | - | - | - | - |
| GAK | 25,252 | >48h | 101,079 | >48h | >48h |
| ESP+Kernel | 20 | 28 | 162 | >48h | >48h |
| CGK+Kernel | 31 | 95 | 196 | >48h | >48h | | 0 |
| Ξ΄ | C=2Ξ΄+1 | C=C+1 | K1 | K2 | Notes |
| --- | --- | --- | --- | --- | --- |
| 3 | 7 | 8 | 1 | 2 | |
| 4 | 9 | 10 | 1 | 3 | |
| 4 | 9 | 10 | 2 | 2 | |
| 5 | 11 | 12 | 1 | 4 | |
| 5 | 11 | 12 | 2 | 3 | |
| 6 | 13 | 14 | 1 | 5 | | | | 6 | 13 | 14 | 2 | 4 | |
| --- | --- | --- | --- | --- | --- |
| 6 | 13 | 14 | 3 | 3 | |
| 7 | 15 | 16 | 1 | 6 | |
| 7 | 15 | 16 | 2 | 5 | |
| 7 | 15 | 16 | 3 | 4 | |
| 8 | 17 | 18 | 1 | 7 | |
| 8 | 17 | 18 | 2 | 6 | |
| 8 | 17 | 18 | 3 | 5 | |
| 8 | 17 | 18 | 4 | 4 | |
| 9 | 19 | 20 | 1 | 8 | |
| 9 | 19 | 20 | 2 | 7 | |
| 9 | 19 | 20 | 3 | 6 | |
| 9 | 19 | 20 | 4 | 5 | |
| 10 | 21 | 22 | 1 | 9 | |
| 10 | 21 | 22 | 2 | 8 | |
| 10 | 21 | 22 | 3 | 7 | |
| 10 | 21 | 22 | 4 | 6 | |
| 10 | 21 | 22 | 5 | 5 | |
| 11 | 23 | 24 | 1 | 10 | |
| 11 | 23 | 24 | 2 | 9 | |
| 11 | 23 | 24 | 3 | 8 | |
| 11 | 23 | 24 | 4 | 7 | |
| 11 | 23 | 24 | 5 | 6 | | | 1 |
| Ξ΄ | C=2Ξ΄+1 | C=C+1 | K1 | K2 | Notes |
| --- | --- | --- | --- | --- | --- |
| 3 | 7 | 8 | 1 | 2 | |
| 4 | 9 | 10 | 1 | 3 | |
| 4 | 9 | 10 | 2 | 2 | |
| 5 | 11 | 12 | 1 | 4 | |
| 5 | 11 | 12 | 2 | 3 | |
| 6 | 13 | 14 | 1 | 5 | | | | K | dc | (d+1)/Kc | d/Kc | Ξ±(from)d |
| --- | --- | --- | --- | --- |
| 2 | 2 | 1.5 | 1 | 1 |
| 3 | 11.5 | 4.166 | 3.83 | 3.927 |
| 4 | 32.6 | 8.4 | 8.15 | 8.297 |
| 5 | 80 | 16.2 | 16.00 | 16.12 |
| 6 | 182 | 30.5 | 30.33 | 30.5 |
| 7 | 400 | 57.28 | 57.14 | 57.22 |
| 8 | 856 | 107.13 | 107.00 | 107.24 | | 0 |
| Ξ΄ | C=2Ξ΄+1 | C=C+1 | K1 | K2 | Notes |
| --- | --- | --- | --- | --- | --- |
| 3 | 7 | 8 | 1 | 2 | |
| 4 | 9 | 10 | 1 | 3 | |
| 4 | 9 | 10 | 2 | 2 | |
| 5 | 11 | 12 | 1 | 4 | |
| 5 | 11 | 12 | 2 | 3 | |
| 6 | 13 | 14 | 1 | 5 | |
| 6 | 13 | 14 | 2 | 4 | | | | 6 | 13 | 14 | 3 | 3 | |
| --- | --- | --- | --- | --- | --- |
| 7 | 15 | 16 | 1 | 6 | |
| 7 | 15 | 16 | 2 | 5 | |
| 7 | 15 | 16 | 3 | 4 | |
| 8 | 17 | 18 | 1 | 7 | |
| 8 | 17 | 18 | 2 | 6 | |
| 8 | 17 | 18 | 3 | 5 | |
| 8 | 17 | 18 | 4 | 4 | |
| 9 | 19 | 20 | 1 | 8 | |
| 9 | 19 | 20 | 2 | 7 | |
| 9 | 19 | 20 | 3 | 6 | |
| 9 | 19 | 20 | 4 | 5 | |
| 10 | 21 | 22 | 1 | 9 | |
| 10 | 21 | 22 | 2 | 8 | |
| 10 | 21 | 22 | 3 | 7 | |
| 10 | 21 | 22 | 4 | 6 | |
| 10 | 21 | 22 | 5 | 5 | |
| 11 | 23 | 24 | 1 | 10 | |
| 11 | 23 | 24 | 2 | 9 | |
| 11 | 23 | 24 | 3 | 8 | |
| 11 | 23 | 24 | 4 | 7 | |
| 11 | 23 | 24 | 5 | 6 | | | 1 |
| Ξ΄ | C=2Ξ΄+1 | C=C+1 | K1 | K2 | Notes |
| --- | --- | --- | --- | --- | --- |
| 3 | 7 | 8 | 1 | 2 | |
| 4 | 9 | 10 | 1 | 3 | |
| 4 | 9 | 10 | 2 | 2 | |
| 5 | 11 | 12 | 1 | 4 | |
| 5 | 11 | 12 | 2 | 3 | |
| 6 | 13 | 14 | 1 | 5 | |
| 6 | 13 | 14 | 2 | 4 | | | | 4 | 32.6 | 8.4 | 8.15 | 8.297 |
| --- | --- | --- | --- | --- |
| 5 | 80 | 16.2 | 16.00 | 16.12 |
| 6 | 182 | 30.5 | 30.33 | 30.5 |
| 7 | 400 | 57.28 | 57.14 | 57.22 |
| 8 | 856 | 107.13 | 107.00 | 107.24 | | 0 |
| Database | Precisionwith | Recallwith | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| WOS | WSinter | WSunion | WScomb | WOS | WSinter | WSunion | WScomb | |
| DB2000 | 58.11 | 60.38 | 53.11 | 64.29 | 9.47 | 9.61 | 10.76 | 9.75 | | | DB2020 | 49.07 | 52.33 | 46.03 | 55.39 | 9.64 | 10.25 | 11.33 | 10.71 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| DBCaltech | 23.84 | 24.79 | 22.23 | 26.67 | 3.95 | 4.13 | 4.77 | 9.33 |
| DB3057 | 48.92 | 49.72 | 45.96 | 53.33 | 6.17 | 6.35 | 7.27 | 7.47 |
| DB5276 | 37.23 | 38.34 | 34.48 | 41.09 | 6.56 | 6.79 | 7.59 | 8.72 |
| DB3767 | 54.9 | 55.93 | 50.37 | 59.33 | 7.68 | 7.8 | 8.7 | 8.16 | | 1 |
| Database | Precisionwith | Recallwith | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| WOS | WSinter | WSunion | WScomb | WOS | WSinter | WSunion | WScomb | |
| DB2000 | 58.11 | 60.38 | 53.11 | 64.29 | 9.47 | 9.61 | 10.76 | 9.75 | | | | Precision | Recall | F-measure | Coherence |
| --- | --- | --- | --- | --- |
| Notrepaired | 59.3 | 74.3 | 66.4 | 5006 |
| AMLR(noο¬lter) | 60.0 | 74.2 | 66.7 | 0 |
| AMLR(0.1) | 60.3 | 74.3 | 66.9 | 0 |
| AMLR(0.05) | 60.6 | 74.2 | 67.0 | 0 |
| AMLR(0.0) | 60.7 | 74.1 | 67.1 | 0 |
| LogMap2 | 59.6 | 74.3 | 66.6 | 4998 |
| ALCOMO | 59.9 | 74.2 | 66.7 | 2 | | 0 |
| Database | Precisionwith | Recallwith | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| WOS | WSinter | WSunion | WScomb | WOS | WSinter | WSunion | WScomb | | | DB2000 | 58.11 | 60.38 | 53.11 | 64.29 | 9.47 | 9.61 | 10.76 | 9.75 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| DB2020 | 49.07 | 52.33 | 46.03 | 55.39 | 9.64 | 10.25 | 11.33 | 10.71 |
| DBCaltech | 23.84 | 24.79 | 22.23 | 26.67 | 3.95 | 4.13 | 4.77 | 9.33 |
| DB3057 | 48.92 | 49.72 | 45.96 | 53.33 | 6.17 | 6.35 | 7.27 | 7.47 |
| DB5276 | 37.23 | 38.34 | 34.48 | 41.09 | 6.56 | 6.79 | 7.59 | 8.72 |
| DB3767 | 54.9 | 55.93 | 50.37 | 59.33 | 7.68 | 7.8 | 8.7 | 8.16 | | 1 |
| Database | Precisionwith | Recallwith | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| WOS | WSinter | WSunion | WScomb | WOS | WSinter | WSunion | WScomb | | | AMLR(0.0) | 60.7 | 74.1 | 67.1 | 0 |
| --- | --- | --- | --- | --- |
| LogMap2 | 59.6 | 74.3 | 66.6 | 4998 |
| ALCOMO | 59.9 | 74.2 | 66.7 | 2 | | 0 |
| | FID | CAFD | KL(p(y)\|\|p(y)) |
| --- | --- | --- | --- |
| test | 0 | 0 | 0 | | | adjusted | 0 | 539.8 | 0.03675 |
| --- | --- | --- | --- |
| generated | 73.1 | 201.4 | 0.001893 |
| hack | 72.8 | 468.6 | 0.04941 |
| train | 22.0 | 99.8 | 0.000572 | | 1 |
| | FID | CAFD | KL(p(y)\|\|p(y)) |
| --- | --- | --- | --- |
| test | 0 | 0 | 0 | | | V | H | E | Data | Train,Val,Test |
| --- | --- | --- | --- | --- |
| 10 | 128 | 180 | 9k,1k,10k | 0.9635,0.9172,0.9150 |
| 100 | 128 | 200 | 9k,1k,10k | 0.7392,0.5472,0.5488 |
| 100 | 128 | 61 | 135k,15k,10k | 0.9927,0.9911,0.9912 |
| 100 | 256 | 40 | 135k,15k,10k | 0.9974,0.9997,0.9975 |
| 1000 | 256 | 75 | 135k,15k,10k | 0.9868,0.9884,0.9885 | | 0 |
| | FID | CAFD | KL(p(y)\|\|p(y)) |
| --- | --- | --- | --- |
| test | 0 | 0 | 0 |
| adjusted | 0 | 539.8 | 0.03675 |
| generated | 73.1 | 201.4 | 0.001893 | | | hack | 72.8 | 468.6 | 0.04941 |
| --- | --- | --- | --- |
| train | 22.0 | 99.8 | 0.000572 | | 1 |
| | FID | CAFD | KL(p(y)\|\|p(y)) |
| --- | --- | --- | --- |
| test | 0 | 0 | 0 |
| adjusted | 0 | 539.8 | 0.03675 |
| generated | 73.1 | 201.4 | 0.001893 | | | 100 | 128 | 61 | 135k,15k,10k | 0.9927,0.9911,0.9912 |
| --- | --- | --- | --- | --- |
| 100 | 256 | 40 | 135k,15k,10k | 0.9974,0.9997,0.9975 |
| 1000 | 256 | 75 | 135k,15k,10k | 0.9868,0.9884,0.9885 | | 0 |
| Date | Time | Type | Direction | Duratio |
| --- | --- | --- | --- | --- |
| 20100916 | 130748 | Voice | Incoming | 18 | | | 20100916 | 133131 | Voice | Outgoing | 99 |
| --- | --- | --- | --- | --- |
| 20100916 | 131324 | Voice | Incoming | 214 |
| 20100916 | 131735 | Voice | Incoming | 72 |
| 20100916 | 135342 | Voice | Incoming | 37 | | 1 |
| Date | Time | Type | Direction | Duratio |
| --- | --- | --- | --- | --- |
| 20100916 | 130748 | Voice | Incoming | 18 | | | Names | Expected | January | February | March |
| --- | --- | --- | --- | --- |
| EddyEko | 150000 | 15000 | 20000 | 100000 |
| FaridAL | 35000 | 150000 | 25000 | 30000 |
| JackFack | 180000 | 80000 | 30000 | 80000 |
| JeanKam | 450000 | 100000 | 200000 | 10000 |
| LyneWirl | 50000 | 5000 | 10000 | 70000 |
| Menwick | 200000 | 20000 | 5000 | 5000 |
| SarahDong | 45000 | 25000 | 50000 | 60000 |
| SlyDolce | 70000 | 35000 | 40000 | 15000 | | 0 |
| Date | Time | Type | Direction | Duratio |
| --- | --- | --- | --- | --- |
| 20100916 | 130748 | Voice | Incoming | 18 |
| 20100916 | 133131 | Voice | Outgoing | 99 |
| 20100916 | 131324 | Voice | Incoming | 214 | | | 20100916 | 131735 | Voice | Incoming | 72 |
| --- | --- | --- | --- | --- |
| 20100916 | 135342 | Voice | Incoming | 37 | | 1 |
| Date | Time | Type | Direction | Duratio |
| --- | --- | --- | --- | --- |
| 20100916 | 130748 | Voice | Incoming | 18 |
| 20100916 | 133131 | Voice | Outgoing | 99 |
| 20100916 | 131324 | Voice | Incoming | 214 | | | JackFack | 180000 | 80000 | 30000 | 80000 |
| --- | --- | --- | --- | --- |
| JeanKam | 450000 | 100000 | 200000 | 10000 |
| LyneWirl | 50000 | 5000 | 10000 | 70000 |
| Menwick | 200000 | 20000 | 5000 | 5000 |
| SarahDong | 45000 | 25000 | 50000 | 60000 |
| SlyDolce | 70000 | 35000 | 40000 | 15000 | | 0 |
| # | Address | Source(s) |
| --- | --- | --- |
| 1 | 1PoebUjR5pdH88tc9ECQ1PCLaCrtPnG9fm | |
| 2 | 128pJdREzcR6xorYPQAPzGf8RwMQjRBzDt | |
| 3 | 15WUYqKerTtxi4rUEmnakw5gRMkr3nZCQd | |
| 4 | 1L66AcnbuZkYjs8eE6uVbTUxmorHYGKxFJ | |
| 5 | 16REtGSobiQZoprFnXZBR2mSWvRyUSJ3ag | |
| 6 | 16Z6sidfLrfNoxJNu4qM5zhRttJEUD3XoB | |
| 7 | 12LE1yNak3ZuNTLa95KYR2CQSKb6rZnELb | |
| 8 | 1JYYzNHDaGC7noiE4eKatuYA4AThqVocDd | |
| 9 | 1BhLzCZGY6dwQYgX4B6NR5sjDebBPNapvv | |
| 10 | 16yd1Wj2NZa2uLZ6W4UDCDJ2Ttw92uFaT7 | |
| 11 | 1LGnuv6KX9SXB8eM72dnBAcECeaC8Z2zje | |
| 12 | 1L7SLmazbbcy614zsDSLwz4bxz1nnJvDeV | |
| 13 | 19yqWit95eFGmUTYDLr3memcDoJiYgUppc | |
| 14 | 16N3jvnF7UhRh74TMmtwxpLX6zPQKPbEbh | | | | 15 | 1ApF4XayPo7Mtpe326o3xMnSgrkZo7TCWD |
| --- | --- |
| And,27otherdistinctaddressesthatarelistedon | | | 1 |
| # | Address | Source(s) |
| --- | --- | --- |
| 1 | 1PoebUjR5pdH88tc9ECQ1PCLaCrtPnG9fm | |
| 2 | 128pJdREzcR6xorYPQAPzGf8RwMQjRBzDt | |
| 3 | 15WUYqKerTtxi4rUEmnakw5gRMkr3nZCQd | |
| 4 | 1L66AcnbuZkYjs8eE6uVbTUxmorHYGKxFJ | |
| 5 | 16REtGSobiQZoprFnXZBR2mSWvRyUSJ3ag | |
| 6 | 16Z6sidfLrfNoxJNu4qM5zhRttJEUD3XoB | |
| 7 | 12LE1yNak3ZuNTLa95KYR2CQSKb6rZnELb | |
| 8 | 1JYYzNHDaGC7noiE4eKatuYA4AThqVocDd | |
| 9 | 1BhLzCZGY6dwQYgX4B6NR5sjDebBPNapvv | |
| 10 | 16yd1Wj2NZa2uLZ6W4UDCDJ2Ttw92uFaT7 | |
| 11 | 1LGnuv6KX9SXB8eM72dnBAcECeaC8Z2zje | |
| 12 | 1L7SLmazbbcy614zsDSLwz4bxz1nnJvDeV | |
| 13 | 19yqWit95eFGmUTYDLr3memcDoJiYgUppc | |
| 14 | 16N3jvnF7UhRh74TMmtwxpLX6zPQKPbEbh | | | | # | Address | Source(s) |
| --- | --- | --- |
| 1 | 1MrKJhiECV3RufrY1dSybSXRCwSw11Co6i | |
| 2 | 1C8yA7wJuKD4D2giTEpUNcdd7UNExEJ45r | |
| 3 | 166vHLnGB1pCQGxdBkRiMkHW5WGQDbsw6s | |
| 4 | 1BA48s9Eeh77vwWiEgh5Vt29G3YJN1PRoR | |
| 5 | 18mfoGHSfe9h145e8djHK5rChDTnGfPDU9 | |
| 6 | 16hHkyuzCDRFzoejVuqajqrnbmKHSmEfQM | |
| 7 | 1382JAg5xbQv7QNwq1svDeyw6ELtNCmujG | |
| 8 | 1KXw7aJR4THWAxtnxZYzmysdLXVhLfa97n | | | 0 |
| # | Address | Source(s) |
| --- | --- | --- |
| 1 | 1PoebUjR5pdH88tc9ECQ1PCLaCrtPnG9fm | |
| 2 | 128pJdREzcR6xorYPQAPzGf8RwMQjRBzDt | |
| 3 | 15WUYqKerTtxi4rUEmnakw5gRMkr3nZCQd | |
| 4 | 1L66AcnbuZkYjs8eE6uVbTUxmorHYGKxFJ | |
| 5 | 16REtGSobiQZoprFnXZBR2mSWvRyUSJ3ag | |
| 6 | 16Z6sidfLrfNoxJNu4qM5zhRttJEUD3XoB | |
| 7 | 12LE1yNak3ZuNTLa95KYR2CQSKb6rZnELb | |
| 8 | 1JYYzNHDaGC7noiE4eKatuYA4AThqVocDd | |
| 9 | 1BhLzCZGY6dwQYgX4B6NR5sjDebBPNapvv | |
| 10 | 16yd1Wj2NZa2uLZ6W4UDCDJ2Ttw92uFaT7 | | | | 11 | 1LGnuv6KX9SXB8eM72dnBAcECeaC8Z2zje | |
| --- | --- | --- |
| 12 | 1L7SLmazbbcy614zsDSLwz4bxz1nnJvDeV | |
| 13 | 19yqWit95eFGmUTYDLr3memcDoJiYgUppc | |
| 14 | 16N3jvnF7UhRh74TMmtwxpLX6zPQKPbEbh | |
| 15 | 1ApF4XayPo7Mtpe326o3xMnSgrkZo7TCWD | |
| And,27otherdistinctaddressesthatarelistedon | | | | 1 |
| # | Address | Source(s) |
| --- | --- | --- |
| 1 | 1PoebUjR5pdH88tc9ECQ1PCLaCrtPnG9fm | |
| 2 | 128pJdREzcR6xorYPQAPzGf8RwMQjRBzDt | |
| 3 | 15WUYqKerTtxi4rUEmnakw5gRMkr3nZCQd | |
| 4 | 1L66AcnbuZkYjs8eE6uVbTUxmorHYGKxFJ | |
| 5 | 16REtGSobiQZoprFnXZBR2mSWvRyUSJ3ag | |
| 6 | 16Z6sidfLrfNoxJNu4qM5zhRttJEUD3XoB | |
| 7 | 12LE1yNak3ZuNTLa95KYR2CQSKb6rZnELb | |
| 8 | 1JYYzNHDaGC7noiE4eKatuYA4AThqVocDd | |
| 9 | 1BhLzCZGY6dwQYgX4B6NR5sjDebBPNapvv | |
| 10 | 16yd1Wj2NZa2uLZ6W4UDCDJ2Ttw92uFaT7 | | | | 4 | 1BA48s9Eeh77vwWiEgh5Vt29G3YJN1PRoR | |
| --- | --- | --- |
| 5 | 18mfoGHSfe9h145e8djHK5rChDTnGfPDU9 | |
| 6 | 16hHkyuzCDRFzoejVuqajqrnbmKHSmEfQM | |
| 7 | 1382JAg5xbQv7QNwq1svDeyw6ELtNCmujG | |
| 8 | 1KXw7aJR4THWAxtnxZYzmysdLXVhLfa97n | | | 0 |
| Model | C | d | Q |
| --- | --- | --- | --- |
| Full | 0.14 | 4.0 | 0.40 |
| Nodistance | 0.13 | 3.8 | 0.33 | | | Nocategories | 0.01 | 3.8 | 0.29 |
| --- | --- | --- | --- |
| Notriadicclosure | 0.05 | 4.0 | 0.38 | | 1 |
| Model | C | d | Q |
| --- | --- | --- | --- |
| Full | 0.14 | 4.0 | 0.40 |
| Nodistance | 0.13 | 3.8 | 0.33 | | | Model | 3questions | 4questions |
| --- | --- | --- |
| Tree | 0.9767 | 0.9683 |
| TreeU | 0.9913 | 0.9887 |
| fMF | 0.9509 | 0.9480 |
| Q-Embeddingmodel | 0.9507 | 0.9486 |
| Q-Ratingmodel | 0.9472 | 0.9469 | | 0 |
| Model | C | d | Q |
| --- | --- | --- | --- |
| Full | 0.14 | 4.0 | 0.40 | | | Nodistance | 0.13 | 3.8 | 0.33 |
| --- | --- | --- | --- |
| Nocategories | 0.01 | 3.8 | 0.29 |
| Notriadicclosure | 0.05 | 4.0 | 0.38 | | 1 |
| Model | C | d | Q |
| --- | --- | --- | --- |
| Full | 0.14 | 4.0 | 0.40 | | | TreeU | 0.9913 | 0.9887 |
| --- | --- | --- |
| fMF | 0.9509 | 0.9480 |
| Q-Embeddingmodel | 0.9507 | 0.9486 |
| Q-Ratingmodel | 0.9472 | 0.9469 | | 0 |
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