premise string | hypothesis string | label int64 |
|---|---|---|
| | inselectivity<br>in<br>wordstupleew | outselectivity<br>out<br>wordstupleew | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| 1. | narodnenovine | 326 | 326 | srpskunacionalnu | 222 | 222 |
| 2. | natemelju | 317 | 317 | nacionalnupripadnost | 183 | 1 |
| 3. | nacionalnumanjinu | 275 | 2 | ovjesnejedrili... | | 4. | zasrpsku | 222 | 222 | narodnimnovinama | 129 | 129 |
| --- | --- | --- | --- | --- | --- | --- |
| 5. | uskladu | 202 | 202 | narodnejazz | 111 | 1 |
| 6. | nasnagu | 172 | 172 | manjinugradu | 78 | 1 |
| 7. | oosiguranju | 134 | 43 | ovogasporazuma | 72 | 1 |
| 8. | unarodnim | 129 | 129 | crvenogkristala | 72... | 1 |
| | inselectivity<br>in<br>wordstupleew | outselectivity<br>out<br>wordstupleew | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| 1. | narodnenovine | 326 | 326 | srpskunacionalnu | 222 | 222 |
| 2. | natemelju | 317 | 317 | nacionalnupripadnost | 183 | 1 |
| 3. | nacionalnumanjinu | 275 | 2 | ovjesnejedrili... | | verb | Englishgloss | #ofsentences | #ofsenses | lowerbound |
| --- | --- | --- | --- | --- |
| ataeru | give | 136 | 4 | 66.9 |
| kakeru | hang | 160 | 29 | 25.6 |
| kuwaeru | add | 167 | 5 | 53.9 |
| noru | ride | 126 | 10 | 45.2 |
| osameru | govern | 108 | 8 | 25.0 |
| tsukuru | make | 126 | 15 | 19.8 |
| toru | ... | 0 |
| | inselectivity<br>in<br>wordstupleew | outselectivity<br>out<br>wordstupleew | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| 1. | narodnenovine | 326 | 326 | srpskunacionalnu | 222 | 222 |
| 2. | natemelju | 317 | 317 | nacionalnupripadnost | 183 | 1 |
| 3. | nacionalnumanjinu | 275 | 2 | ovjesnejedrili... | | 6. | nasnagu | 172 | 172 | manjinugradu | 78 | 1 |
| --- | --- | --- | --- | --- | --- | --- |
| 7. | oosiguranju | 134 | 43 | ovogasporazuma | 72 | 1 |
| 8. | unarodnim | 129 | 129 | crvenogkristala | 72 | 3 |
| 9. | narodnimnovinama | 129 | 129 | skladuprovjeriti | 67 | 1 |
| 10. | crvenogkriˇza | 99 | 2 | oruˇzani... | 1 |
| | inselectivity<br>in<br>wordstupleew | outselectivity<br>out<br>wordstupleew | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| 1. | narodnenovine | 326 | 326 | srpskunacionalnu | 222 | 222 |
| 2. | natemelju | 317 | 317 | nacionalnupripadnost | 183 | 1 |
| 3. | nacionalnumanjinu | 275 | 2 | ovjesnejedrili... | | toru | take | 84 | 29 | 26.2 |
| --- | --- | --- | --- | --- |
| umu | bearoffspring | 90 | 2 | 81.1 |
| wakaru | understand | 60 | 5 | 48.3 |
| yameru | stop | 54 | 2 | 59.3 |
| total | — | 1111 | — | 43.7 | | 0 |
| -classe1800(attendus=169,ramenes=98.00,corrects=5.00)<br>rappel=0.030precision=0.051f-mesure=0.037 |
| --- |
| -classe1810(attendus=169,ramenes=203.00,corrects=28.00)<br>rappel=0.166precision=0.138f-mesure=0.151 |
| -classe1820(attendus=169,ramenes=288.00,corrects=34.00)<br>rappel=0.201precision=0.118f-mesure=0.149 |... | | -classe1880(attendus=169,ramenes=115.00,corrects=14.00)<br>rappel=0.083precision=0.122f-mesure=0.099 |
| --- |
| -classe1890(attendus=197,ramenes=76.00,corrects=8.00)<br>rappel=0.041precision=0.105f-mesure=0.059 |
| -classe1900(attendus=203,ramenes=122.00,corrects=10.00)<br>rappel=0.049precision=0.082f-mesure=0.062 |... | 1 |
| -classe1800(attendus=169,ramenes=98.00,corrects=5.00)<br>rappel=0.030precision=0.051f-mesure=0.037 |
| --- |
| -classe1810(attendus=169,ramenes=203.00,corrects=28.00)<br>rappel=0.166precision=0.138f-mesure=0.151 |
| -classe1820(attendus=169,ramenes=288.00,corrects=34.00)<br>rappel=0.201precision=0.118f-mesure=0.149 |... | | -classe1800(attendus=169,ramenes=98.00,corrects=5.00)<br>rappel=0.030precision=0.051f-mesure=0.037 |
| --- |
| -classe1810(attendus=169,ramenes=203.00,corrects=28.00)<br>rappel=0.166precision=0.138f-mesure=0.151 |
| -classe1820(attendus=169,ramenes=288.00,corrects=34.00)<br>rappel=0.201precision=0.118f-mesure=0.149 |... | 0 |
| -classe1800(attendus=169,ramenes=98.00,corrects=5.00)<br>rappel=0.030precision=0.051f-mesure=0.037 |
| --- |
| -classe1810(attendus=169,ramenes=203.00,corrects=28.00)<br>rappel=0.166precision=0.138f-mesure=0.151 |
| -classe1820(attendus=169,ramenes=288.00,corrects=34.00)<br>rappel=0.201precision=0.118f-mesure=0.149 |... | | -classe1850(attendus=169,ramenes=193.00,corrects=13.00)<br>rappel=0.077precision=0.067f-mesure=0.072 |
| --- |
| -classe1860(attendus=170,ramenes=101.00,corrects=8.00)<br>rappel=0.047precision=0.079f-mesure=0.059 |
| -classe1870(attendus=169,ramenes=70.00,corrects=8.00)<br>rappel=0.047precision=0.114f-mesure=0.067 |
... | 1 |
| -classe1800(attendus=169,ramenes=98.00,corrects=5.00)<br>rappel=0.030precision=0.051f-mesure=0.037 |
| --- |
| -classe1810(attendus=169,ramenes=203.00,corrects=28.00)<br>rappel=0.166precision=0.138f-mesure=0.151 |
| -classe1820(attendus=169,ramenes=288.00,corrects=34.00)<br>rappel=0.201precision=0.118f-mesure=0.149 |... | | -classe1890(attendus=197,ramenes=76.00,corrects=8.00)<br>rappel=0.041precision=0.105f-mesure=0.059 |
| --- |
| -classe1900(attendus=203,ramenes=122.00,corrects=10.00)<br>rappel=0.049precision=0.082f-mesure=0.062 |
| -classe1910(attendus=201,ramenes=61.00,corrects=5.00)<br>rappel=0.025precision=0.082f-mesure=0.038 |
|... | 0 |
| Method | Recall | Precision | F |
| --- | --- | --- | --- |
| PixelLink+VGG162s | 83.6 | 86.4 | 84.5 |
| PixelLink+VGG164s | 82.3 | 84.4 | 83.3 |
| PixelLink+VGG162sMS | 87.5 | 88.6 | 88.1 |
| PixelLink+VGG164sMS | 86.5 | 88.6 | 87.5 |
| TextBoxes+VGG16 | 74 | 88 | 81 |
| TextBoxes+VGG16MS | 83 | 89 | 86 | | | EAST+PVANET2xMS? | 82.7 | 92.6 | 87.4 |
| --- | --- | --- | --- |
| SegLink+VGG16 | 83.0 | 87.7 | 85.3 |
| CTPN+VGG16 | 83.0 | 93.0 | 87.7 | | 1 |
| Method | Recall | Precision | F |
| --- | --- | --- | --- |
| PixelLink+VGG162s | 83.6 | 86.4 | 84.5 |
| PixelLink+VGG164s | 82.3 | 84.4 | 83.3 |
| PixelLink+VGG162sMS | 87.5 | 88.6 | 88.1 |
| PixelLink+VGG164sMS | 86.5 | 88.6 | 87.5 |
| TextBoxes+VGG16 | 74 | 88 | 81 |
| TextBoxes+VGG16MS | 83 | 89 | 86 | | | Method | Precision | Recall | F-score |
| --- | --- | --- | --- |
| HUSTMCLAB | 47.5 | 34.8 | 40.2 |
| NJUText | 72.7 | 35.8 | 48.0 |
| StradVision-2 | 77.5 | 36.7 | 49.8 |
| MCLABFCN | 70.8 | 43.0 | 53.6 |
| CTPN | 51.6 | 74.2 | 60.9 |
| Megcii-Image++ | 72.4 | 57.0 | 63.8 |
| Yaoetal. | 72.3 | 58.7 | 64.8 |
| Segli... | 0 |
| Method | Recall | Precision | F |
| --- | --- | --- | --- |
| PixelLink+VGG162s | 83.6 | 86.4 | 84.5 |
| PixelLink+VGG164s | 82.3 | 84.4 | 83.3 |
| PixelLink+VGG162sMS | 87.5 | 88.6 | 88.1 |
| PixelLink+VGG164sMS | 86.5 | 88.6 | 87.5 |
| TextBoxes+VGG16 | 74 | 88 | 81 |
| TextBoxes+VGG16MS | 83 | 89 | 86 |
| EAST+PVA... | | SegLink+VGG16 | 83.0 | 87.7 | 85.3 |
| --- | --- | --- | --- |
| CTPN+VGG16 | 83.0 | 93.0 | 87.7 | | 1 |
| Method | Recall | Precision | F |
| --- | --- | --- | --- |
| PixelLink+VGG162s | 83.6 | 86.4 | 84.5 |
| PixelLink+VGG164s | 82.3 | 84.4 | 83.3 |
| PixelLink+VGG162sMS | 87.5 | 88.6 | 88.1 |
| PixelLink+VGG164sMS | 86.5 | 88.6 | 87.5 |
| TextBoxes+VGG16 | 74 | 88 | 81 |
| TextBoxes+VGG16MS | 83 | 89 | 86 |
| EAST+PVA... | | Seglink | 73.1 | 76.8 | 75.0 |
| --- | --- | --- | --- |
| ArbiText | 79.2 | 73.5 | 75.9 | | 0 |
| Image | Method | Test1 | Test2 | Test3 | Test4 | Tests5 | Test6 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Lena | | 8.56 | 6.92 | 8.86 | 5.52 | 4.95 | 6.91 |
| ours | 8.38 | 7.08 | 9.30 | 5.48 | 5.22 | 6.30 | | | | Barbara | | 8.06 | 4.57 | 6.01 | 2.20 | 1.41 | 6.06 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| ours | 7.75 | 4.04 | 5.82 | 1.95 | 1.24 | 5.43 | |
| House | | 10.44 | 8.79 | 13.11 | 6.38 | 5.95 | 7.56 |
| ours | 10.41 | 9.10 | 13.46 | 6.33 | 6.35 | 6.74 | |
| C.man | | 9.24 | 7.38 | 10.21 | 4.34 | 4.68... | 1 |
| Image | Method | Test1 | Test2 | Test3 | Test4 | Tests5 | Test6 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Lena | | 8.56 | 6.92 | 8.86 | 5.52 | 4.95 | 6.91 |
| ours | 8.38 | 7.08 | 9.30 | 5.48 | 5.22 | 6.30 | | | | σ/PSNR | 25/20.17 | 50/14.15 | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| | | | Ours | | | Ours |
| Lena | 31.80 | 32.26 | 31.96 | 28.96 | 29.30 | 29.13 |
| Barbara | 30.47 | 30.90 | 30.39 | 27.35 | 27.78 | 27.15 |
| Boats | 29.70 | 29.88 | 29.66 | 26.69 | 26.91 | 26.81 |
| Fprint | 27.34 | 27.32 ... | 0 |
| Image | Method | Test1 | Test2 | Test3 | Test4 | Tests5 | Test6 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Lena | | 8.56 | 6.92 | 8.86 | 5.52 | 4.95 | 6.91 |
| ours | 8.38 | 7.08 | 9.30 | 5.48 | 5.22 | 6.30 | |
| Barbara | | 8.06 | 4.57 | 6.01 | 2.20 | 1.41 | 6.06 |
| ours | 7.75 | 4.04 | 5.82 | 1.95 | ... | | House | | 10.44 | 8.79 | 13.11 | 6.38 | 5.95 | 7.56 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| ours | 10.41 | 9.10 | 13.46 | 6.33 | 6.35 | 6.74 | |
| C.man | | 9.24 | 7.38 | 10.21 | 4.34 | 4.68 | 5.26 |
| ours | 9.26 | 7.59 | 10.40 | 4.58 | 5.22 | 5.06 | |
| Average | | 9.08 | 6.92 | 9.55 | 4.61 | 4.2... | 1 |
| Image | Method | Test1 | Test2 | Test3 | Test4 | Tests5 | Test6 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Lena | | 8.56 | 6.92 | 8.86 | 5.52 | 4.95 | 6.91 |
| ours | 8.38 | 7.08 | 9.30 | 5.48 | 5.22 | 6.30 | |
| Barbara | | 8.06 | 4.57 | 6.01 | 2.20 | 1.41 | 6.06 |
| ours | 7.75 | 4.04 | 5.82 | 1.95 | ... | | House | 32.54 | 32.37 | 33.05 | 29.64 | 29.56 | 30.21 |
| --- | --- | --- | --- | --- | --- | --- |
| Peppers | 30.01 | 30.33 | 30.38 | 26.75 | 26.93 | 27.09 |
| Average | 30.31 | 30.51 | 30.43 | 27.25 | 27.42 | 27.44 |
| σ/PSNR | 75/10.63 | 100/8.13 | | | | |
| | | | Ours | | | Ours |
| Lena | 27.22 | 27.50... | 0 |
| | Comparison1 | Comparison2 | | |
| --- | --- | --- | --- | --- |
| GroupNumber | Group1 | Group2 | Group1 | Group2 |
| AgeRange | 4-10 | 60-80 | 11-20 | 60-80 | | | Female | 7 | 17 | 17 | 17 |
| --- | --- | --- | --- | --- |
| Male | 5 | 7 | 19 | 7 |
| Total | 12 | 24 | 36 | 24 | | 1 |
| | Comparison1 | Comparison2 | | |
| --- | --- | --- | --- | --- |
| GroupNumber | Group1 | Group2 | Group1 | Group2 |
| AgeRange | 4-10 | 60-80 | 11-20 | 60-80 | | | Age | 10<br>6<br>10×nPBMC | numberofindividuals |
| --- | --- | --- |
| 0 | 5.03 | 48 |
| 1-4 | 4.93 | 53 |
| 5-9 | 4.86 | 19 |
| 10-14 | 4.86 | 19 |
| 15-19 | 4.56 | 33 |
| 20-24 | 3.88 | 26 |
| 25-29 | 3.75 | 47 |
| 30-34 | 3.61 | 65 |
| 35-39 | 3.54 | 73 |
| 40-44 | 3.52 | 52 |
| 45-49 | 3.37 | 55 |
| 50-54 | 3.17... | 0 |
| | Comparison1 | Comparison2 | | |
| --- | --- | --- | --- | --- |
| GroupNumber | Group1 | Group2 | Group1 | Group2 | | | AgeRange | 4-10 | 60-80 | 11-20 | 60-80 |
| --- | --- | --- | --- | --- |
| Female | 7 | 17 | 17 | 17 |
| Male | 5 | 7 | 19 | 7 |
| Total | 12 | 24 | 36 | 24 | | 1 |
| | Comparison1 | Comparison2 | | |
| --- | --- | --- | --- | --- |
| GroupNumber | Group1 | Group2 | Group1 | Group2 | | | 20-24 | 3.88 | 26 |
| --- | --- | --- |
| 25-29 | 3.75 | 47 |
| 30-34 | 3.61 | 65 |
| 35-39 | 3.54 | 73 |
| 40-44 | 3.52 | 52 |
| 45-49 | 3.37 | 55 |
| 50-54 | 3.17 | 16 | | 0 |
| Method | 1-NN | 10-NN | 100-NN |
| --- | --- | --- | --- |
| NUS-WIDE | | | |
| Both<br>Feature-level<br>Instance-level | 74.59<br>68.00<br>45.48 | 44.02<br>37.64<br>30.22 | 26.08<br>22.29<br>17.82 | | | SVHN | | | |
| --- | --- | --- | --- |
| Both<br>Feature-level<br>Instance-level | 92.46<br>11.73<br>89.73 | 54.09<br>10.43<br>50.23 | 20.44<br>9.99<br>19.94 | | 1 |
| Method | 1-NN | 10-NN | 100-NN |
| --- | --- | --- | --- |
| NUS-WIDE | | | |
| Both<br>Feature-level<br>Instance-level | 74.59<br>68.00<br>45.48 | 44.02<br>37.64<br>30.22 | 26.08<br>22.29<br>17.82 | | | Instance | Target | NuMVC<br>IterationsTime(s) | ULSA<br>IterationsTime(s) | | |
| --- | --- | --- | --- | --- | --- |
| frb40-19-1<br>frb40-19-2<br>frb40-19-3<br>frb40-19-4<br>frb40-19-5 | 40<br>40<br>40<br>40<br>40 | 205831<br>3668573<br>873459<br>2602852<br>7830157 | 0.16<br>2.74<br>0.65<br>1.94<br>5.84 | 25921<... | 0 |
| Method | 1-NN | 10-NN | 100-NN |
| --- | --- | --- | --- |
| NUS-WIDE | | | | | | Both<br>Feature-level<br>Instance-level | 74.59<br>68.00<br>45.48 | 44.02<br>37.64<br>30.22 | 26.08<br>22.29<br>17.82 |
| --- | --- | --- | --- |
| SVHN | | | |
| Both<br>Feature-level<br>Instance-level | 92.46<br>11.73<br>89.73 | 54.09<br>10.43<br>50.23 | 20.44<br>9.99<br>19.94 | | 1 |
| Method | 1-NN | 10-NN | 100-NN |
| --- | --- | --- | --- |
| NUS-WIDE | | | | | | frb59-26-1<br>frb59-26-2<br>frb59-26-3<br>frb59-26-4<br>frb59-26-5 | 59<br>59<br>59<br>59<br>59 | 827709031<br>2309186751<br>389945144<br>535848770<br>30809115 | 1079.55<br>3009.04<br>508.30<br>699.94<br>40.12 | 187448484<br>236516360<br>62055067<br>215800597<br>2429727 | 27.76<br>35.06<br>9.21<br>32.31<br>0.38 |
| -... | 0 |
| Algorithm | kn¯QflCo |
| --- | --- |
| SocDim<br>Autopart | 1245.583N/A6.5830.4512.096<br>643.5000.30918.5000.2121 | | | Modularity<br>LocalDensity | 832.6250.7240.3750.7441<br>318.4190.7140.2260.5491 |
| --- | --- |
| EdgeBetweenness<br>CONGA | 1123.7270.7380.4550.6561<br>1195.277N/A3.9580.0762.406 |
| LabelPropagation | 1320.0770.7350.3850.6161 |
| Walktrap<br>Infomap | 1221.7500.7380.2500.6521<br>1715.3530.7210.7650.5101 |
| K-Cliqu... | 1 |
| Algorithm | kn¯QflCo |
| --- | --- |
| SocDim<br>Autopart | 1245.583N/A6.5830.4512.096<br>643.5000.30918.5000.2121 | | | Method | T | UL | LL | UA | LA | H | Total |
| --- | --- | --- | --- | --- | --- | --- | --- |
| OursImagenet | 81.3 | 54.6 | 48.8 | 36.1 | 19.1 | 56.9 | 50.0 |
| CliqueCNN | 80.1 | 50.1 | 45.7 | 27.2 | 12.6 | 45.5 | 43.5 |
| VGG-S | 82.0 | 48.2 | 41.8 | 32.4 | 15.8 | 53.6 | 47.0 |
| OursScratch | 73.0 | 45.1 | 41.6 ... | 0 |
| Algorithm | kn¯QflCo |
| --- | --- |
| SocDim<br>Autopart | 1245.583N/A6.5830.4512.096<br>643.5000.30918.5000.2121 |
| Modularity<br>LocalDensity | 832.6250.7240.3750.7441<br>318.4190.7140.2260.5491 |
| EdgeBetweenness<br>CONGA | 1123.7270.7380.4550.6561<br>1195.277N/A3.9580.0762.406 |
| LabelPropagation | 1320.0770.... | | K-Clique<br>S-Plex | 1616.125N/A1.5620.3410.989<br>963.615N/A2.4170.0701.330 |
| --- | --- |
| LinkModularity<br>HLC | 3726.216N/A3.7300.3953.716<br>2563.734N/A2.5390.0633.663 | | 1 |
| Algorithm | kn¯QflCo |
| --- | --- |
| SocDim<br>Autopart | 1245.583N/A6.5830.4512.096<br>643.5000.30918.5000.2121 |
| Modularity<br>LocalDensity | 832.6250.7240.3750.7441<br>318.4190.7140.2260.5491 |
| EdgeBetweenness<br>CONGA | 1123.7270.7380.4550.6561<br>1195.277N/A3.9580.0762.406 |
| LabelPropagation | 1320.0770.... | | CliqueCNN | 80.1 | 50.1 | 45.7 | 27.2 | 12.6 | 45.5 | 43.5 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| VGG-S | 82.0 | 48.2 | 41.8 | 32.4 | 15.8 | 53.6 | 47.0 |
| OursScratch | 73.0 | 45.1 | 41.6 | 26.2 | 12.2 | 44.4 | 43.0 |
| Shuffle&Learn | 60.4 | 33.2 | 28.9 | 16.8 | 7.1 | 33.8 | 30.0 |
| GroundTruth | 93.... | 0 |
| | ax1 | bx2 | ax+bx12 | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| latencyperiod | a | R | b | R | a | b | R |
| papers | | | | | | | |
| LP=2yrs<br>LP=5yrs | 0.804<br>0.2783 | 0.5453<br>0.5377 | 0.1677<br>0.0954 | 0.3666<br>0.4956 | 0.6739<br>0.1751 | 0.0366<br>0.0432 | 0.5555<br>0.5778 ... | | legal | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| LP=2yrs | 0.9337 | 0.5437 | 0.2486 | 0.2317 | 0.8782 | 0.0301 | 0.5464 | | 1 |
| | ax1 | bx2 | ax+bx12 | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| latencyperiod | a | R | b | R | a | b | R |
| papers | | | | | | | |
| LP=2yrs<br>LP=5yrs | 0.804<br>0.2783 | 0.5453<br>0.5377 | 0.1677<br>0.0954 | 0.3666<br>0.4956 | 0.6739<br>0.1751 | 0.0366<br>0.0432 | 0.5555<br>0.5778 ... | | Data | r | s | t | nnz(A) | nnz(B) | nnz(C) |
| --- | --- | --- | --- | --- | --- | --- |
| square | 1.5E5 | 1.5E5 | 1.5E5 | 6E5 | 6E5 | 2.4E6 |
| tall | 3E5 | 1.5E5 | 3E6 | 6E5 | 6E5 | 2.4E6 |
| fat | 1.5E5 | 3E5 | 1.5E5 | 6E5 | 6E5 | 1.2E6 |
| amazon-08/web-google | 735320 | 735323 | 916428 | 5158379 | 4101329 | 28... | 0 |
| | ax1 | bx2 | ax+bx12 | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| latencyperiod | a | R | b | R | a | b | R |
| papers | | | | | | | |
| LP=2yrs<br>LP=5yrs | 0.804<br>0.2783 | 0.5453<br>0.5377 | 0.1677<br>0.0954 | 0.3666<br>0.4956 | 0.6739<br>0.1751 | 0.0366<br>0.0432 | 0.5555<br>0.5778 ... | | patents | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| LP=2yrs<br>LP=5yrs | 2.4686<br>0.7454 | 0.006<br>0.1431 | -<br>0.27 | -<br>0.1013 | 1.8833<br>0.4833 | 0.3935<br>0.1254 | 0.0389<br>0.1803 |
| legal | | | | | | | |
| LP=2yrs | 0.9337 | 0.5437 | 0.2486 | 0.2317 | 0.8782 | 0.0301... | 1 |
| | ax1 | bx2 | ax+bx12 | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| latencyperiod | a | R | b | R | a | b | R |
| papers | | | | | | | |
| LP=2yrs<br>LP=5yrs | 0.804<br>0.2783 | 0.5453<br>0.5377 | 0.1677<br>0.0954 | 0.3666<br>0.4956 | 0.6739<br>0.1751 | 0.0366<br>0.0432 | 0.5555<br>0.5778 ... | | amazon-08/web-google | 735320 | 735323 | 916428 | 5158379 | 4101329 | 28679400 |
| --- | --- | --- | --- | --- | --- | --- |
| cont1/cont11 | 1918396 | 1468599 | 1961392 | 2592597 | 5382995 | 10254724 |
| cit-patents/patents | 3774768 | 3774768 | 3774768 | 16518948 | 14970767 | 64796579 |
| hugetrace-00/-01 | 4588484... | 0 |
| TypeSize | Seq/STLSeqQS | ForkSURandfork | MMParSU |
| --- | --- | --- | --- |
| 10000000<br>100000000<br>Random8388607<br>33554431<br>134217727 | 4.5265.440<br>53.82264.124<br>3.6984.418<br>16.38120.112<br>74.52086.550 | 2.0252.23.031<br>13.8023.920.924<br>1.3552.73.055<br>4.9723.39.137<br>15.4444.833.778 | 1.2523.6... | | 10000000<br>100000000<br>Gauss8388607<br>33554431<br>134217727 | 4.4335.222<br>52.61362.621<br>3.5434.532<br>16.57519.503<br>72.73390.591 | 1.5652.84.171<br>12.3954.218.303<br>1.4272.52.881<br>5.1163.210.862<br>21.7453.341.236 | 1.1273.9<br>4.02113.1<br>0.9763.6<br>2.6866.2<br>7.4999.7 |
| --- | --- | --- | --- |
| 1... | 1 |
| TypeSize | Seq/STLSeqQS | ForkSURandfork | MMParSU |
| --- | --- | --- | --- |
| 10000000<br>100000000<br>Random8388607<br>33554431<br>134217727 | 4.5265.440<br>53.82264.124<br>3.6984.418<br>16.38120.112<br>74.52086.550 | 2.0252.23.031<br>13.8023.920.924<br>1.3552.73.055<br>4.9723.39.137<br>15.4444.833.778 | 1.2523.6... | | TypeSize | Seq/STLSeqQS | ForkSURandfork | MMParSU |
| --- | --- | --- | --- |
| 10000000<br>100000000<br>Random8388607<br>33554431<br>134217727 | 4.5425.449<br>53.87764.226<br>3.7044.425<br>16.42620.168<br>74.59086.664 | 2.1182.15.761<br>14.6083.744.514<br>1.4552.54.649<br>4.8273.419.653<br>18.1524.166.932 | 1.5053.... | 0 |
| TypeSize | Seq/STLSeqQS | ForkSURandfork | MMParSU |
| --- | --- | --- | --- |
| 10000000<br>100000000<br>Random8388607<br>33554431<br>134217727 | 4.5265.440<br>53.82264.124<br>3.6984.418<br>16.38120.112<br>74.52086.550 | 2.0252.23.031<br>13.8023.920.924<br>1.3552.73.055<br>4.9723.39.137<br>15.4444.833.778 | 1.2523.6... | | 10000000<br>100000000<br>Buckets8388607<br>33554431<br>134217727 | 4.7725.712<br>56.33067.388<br>3.8024.511<br>17.35020.469<br>76.07691.170 | 2.1392.23.138<br>15.7473.623.379<br>1.3132.92.546<br>4.9173.511.350<br>20.1393.842.345 | 1.1824.0<br>5.9649.4<br>1.1413.3<br>2.7996.2<br>8.6468.8 |
| --- | --- | --- | --- |
| ... | 1 |
| TypeSize | Seq/STLSeqQS | ForkSURandfork | MMParSU |
| --- | --- | --- | --- |
| 10000000<br>100000000<br>Random8388607<br>33554431<br>134217727 | 4.5265.440<br>53.82264.124<br>3.6984.418<br>16.38120.112<br>74.52086.550 | 2.0252.23.031<br>13.8023.920.924<br>1.3552.73.055<br>4.9723.39.137<br>15.4444.833.778 | 1.2523.6... | | 10000000<br>100000000<br>Buckets8388607<br>33554431<br>134217727 | 4.7865.653<br>57.96968.505<br>3.8604.628<br>17.13120.759<br>77.24491.977 | 2.0022.45.879<br>17.4703.353.243<br>1.5452.54.920<br>5.1283.320.554<br>21.1683.670.394 | 1.3933.4<br>8.2267.0<br>1.0753.6<br>3.1045.5<br>10.8687.1 |
| --- | --- | --- | --- |
|... | 0 |
| | Gradual | Sharp | | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P |
| 1004ABCa | 203 | 177 | 9 | 26 | 0.952 | 0.872 | 0.91 | 224 | 209 | 18 | 15 | 0.921 |
| 1012CNNa | 170 | 149 | 23 | 21 |... | | 1021ABCa | 175 | 154 | 22 | 21 | 0.875 | 0.88 | 0.877 | 240 | 227 | 14 | 13 | 0.942 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1101CNNa | 204 | 187 | 13 | 17 | 0.935 | 0.917 | 0.926 | 191 | 180 | 12 | 11 | 0.938 |
| 1109ABCa | 170 | 159 | 12 | 11 | 0.93 | 0.935 | 0.933 | 257 |... | 1 |
| | Gradual | Sharp | | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P |
| 1004ABCa | 203 | 177 | 9 | 26 | 0.952 | 0.872 | 0.91 | 224 | 209 | 18 | 15 | 0.921 |
| 1012CNNa | 170 | 149 | 23 | 21 |... | | | Gradual | Sharp | | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P |
| 1004ABCa | 203 | 166 | 13 | 37 | 0.927 | 0.818 | 0.869 | 224 | 213 | 22 | 11 | 0.906 |
| 1012CNNa | 170 | 136 | 13 | 34... | 0 |
| | Gradual | Sharp | | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P |
| 1004ABCa | 203 | 177 | 9 | 26 | 0.952 | 0.872 | 0.91 | 224 | 209 | 18 | 15 | 0.921 |
| 1012CNNa | 170 | 149 | 23 | 21 |... | | 1109ABCa | 170 | 159 | 12 | 11 | 0.93 | 0.935 | 0.933 | 257 | 241 | 11 | 16 | 0.956 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1123CNNa | 126 | 99 | 32 | 27 | 0.756 | 0.786 | 0.77 | 236 | 206 | 8 | 30 | 0.963 |
| 1126ABCa | 189 | 179 | 16 | 10 | 0.918 | 0.947 | 0.932 | 273 | 2... | 1 |
| | Gradual | Sharp | | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P |
| 1004ABCa | 203 | 177 | 9 | 26 | 0.952 | 0.872 | 0.91 | 224 | 209 | 18 | 15 | 0.921 |
| 1012CNNa | 170 | 149 | 23 | 21 |... | | 1012CNNa | 170 | 136 | 13 | 34 | 0.913 | 0.8 | 0.853 | 215 | 194 | 15 | 21 | 0.928 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1016CNNa | 150 | 119 | 9 | 31 | 0.93 | 0.793 | 0.856 | 242 | 214 | 13 | 28 | 0.943 |
| 1021ABCa | 175 | 154 | 13 | 21 | 0.922 | 0.88 | 0.901 | 240 | 23... | 0 |
| OR | asku | false | inv | msk | na | nask | nav | ni | oth | true | unk |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| asku | asku | asku | ni | ni | ni | unk | asku | ni | ni | true | unk |
| false | asku | false | inv | msk | na | nask | nav | ni | oth | true | unk |
| inv | ni | inv ... | | nask | unk | nask | ni | ni | ni | nask | unk | ni | ni | true | unk |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| nav | asku | nav | ni | ni | ni | unk | nav | ni | ni | true | unk |
| ni | ni | ni | ni | ni | ni | ni | ni | ni | ni | true | ni |
| oth | ni | oth | inv | ni | ni | ni ... | 1 |
| OR | asku | false | inv | msk | na | nask | nav | ni | oth | true | unk |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| asku | asku | asku | ni | ni | ni | unk | asku | ni | ni | true | unk |
| false | asku | false | inv | msk | na | nask | nav | ni | oth | true | unk |
| inv | ni | inv ... | | AND | asku | false | inv | msk | na | nask | nav | ni | oth | true | unk |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| asku | asku | false | ni | ni | ni | unk | asku | ni | ni | asku | unk |
| false | false | false | false | false | false | false | false | false | false | false | fals... | 0 |
| OR | asku | false | inv | msk | na | nask | nav | ni | oth | true | unk |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| asku | asku | asku | ni | ni | ni | unk | asku | ni | ni | true | unk |
| false | asku | false | inv | msk | na | nask | nav | ni | oth | true | unk |
| inv | ni | inv ... | | true | true | true | true | true | true | true | true | true | true | true | true |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| unk | unk | unk | ni | ni | ni | unk | unk | ni | ni | true | unk | | 1 |
| OR | asku | false | inv | msk | na | nask | nav | ni | oth | true | unk |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| asku | asku | asku | ni | ni | ni | unk | asku | ni | ni | true | unk |
| false | asku | false | inv | msk | na | nask | nav | ni | oth | true | unk |
| inv | ni | inv ... | | nask | unk | false | ni | ni | ni | nask | unk | ni | ni | nask | unk |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| nav | asku | false | ni | ni | ni | unk | nav | ni | ni | nav | unk |
| ni | ni | false | ni | ni | ni | ni | ni | ni | ni | ni | ni |
| oth | ni | false | inv | ni | ni ... | 0 |
| Intensity | Annotations | F-Measure |
| --- | --- | --- |
| K=99.5 | 364 | 96.01 |
| K=99.0 | 326 | 94.57 |
| K=98.5 | 304 | 95.59 |
| K=98.0 | 262 | 93.75 | | | K=97.5 | 242 | 93.35 |
| --- | --- | --- |
| K=97.0 | 224 | 90.91 | | 1 |
| Intensity | Annotations | F-Measure |
| --- | --- | --- |
| K=99.5 | 364 | 96.01 |
| K=99.0 | 326 | 94.57 |
| K=98.5 | 304 | 95.59 |
| K=98.0 | 262 | 93.75 | | | F-measure |
| --- |
| 0.129<br>0.134<br>0.135<br>0.138<br>0.174 |
| 0.369<br>0.418 |
| 0.343<br>0.354<br>0.386 |
| 0.443 | | 0 |
| Intensity | Annotations | F-Measure |
| --- | --- | --- |
| K=99.5 | 364 | 96.01 |
| K=99.0 | 326 | 94.57 |
| K=98.5 | 304 | 95.59 | | | K=98.0 | 262 | 93.75 |
| --- | --- | --- |
| K=97.5 | 242 | 93.35 |
| K=97.0 | 224 | 90.91 | | 1 |
| Intensity | Annotations | F-Measure |
| --- | --- | --- |
| K=99.5 | 364 | 96.01 |
| K=99.0 | 326 | 94.57 |
| K=98.5 | 304 | 95.59 | | | 0.369<br>0.418 |
| --- |
| 0.343<br>0.354<br>0.386 |
| 0.443 | | 0 |
| EntityTypes | TrainingSet | TestSet |
| --- | --- | --- |
| Location | 6,247 | 1,379 |
| Organization | 1,213 | 274 | | | Person | 7,480 | 1,294 |
| --- | --- | --- |
| Miscellaneousnames | 282 | 49 |
| All | 15,222 | 2,996 | | 1 |
| EntityTypes | TrainingSet | TestSet |
| --- | --- | --- |
| Location | 6,247 | 1,379 |
| Organization | 1,213 | 274 | | | EntityTypes | TrainingSet | TestSet |
| --- | --- | --- |
| Location | 6,245 | 1,379 |
| Organization | 1,213 | 274 |
| Person | 7,480 | 1,294 |
| Miscellaneousnames | 282 | 49 |
| All | 15,222 | 2,996 | | 0 |
| EntityTypes | TrainingSet | TestSet |
| --- | --- | --- |
| Location | 6,247 | 1,379 |
| Organization | 1,213 | 274 | | | Person | 7,480 | 1,294 |
| --- | --- | --- |
| Miscellaneousnames | 282 | 49 |
| All | 15,222 | 2,996 | | 1 |
| EntityTypes | TrainingSet | TestSet |
| --- | --- | --- |
| Location | 6,247 | 1,379 |
| Organization | 1,213 | 274 | | | Person | 7,480 | 1,294 |
| --- | --- | --- |
| Miscellaneousnames | 282 | 49 |
| All | 15,222 | 2,996 | | 0 |
| Rotation<br>ω1 | NDM | MeanScaleError | MeanRotationError | | | |
| --- | --- | --- | --- | --- | --- | --- |
| MEIR | MPIR | MEIR | MPIR | MEIR | MPIR | |
| 5 | 0.222160 | 0.317380 | 0.070345 | 0.071575 | 4.604600 | 4.883100 |
| 10 | 0.219680 | 0.312970 | 0.066740 | 0.069023 | 4.364000 | 4.505900 |
| 15 | 0.2064... | | 25 | 0.190730 | 0.301070 | 0.064825 | 0.066755 | 5.100400 | 5.264700 |
| --- | --- | --- | --- | --- | --- | --- |
| 30 | 0.187460 | 0.302130 | 0.065554 | 0.067711 | 5.299400 | 5.510100 | | 1 |
| Rotation<br>ω1 | NDM | MeanScaleError | MeanRotationError | | | |
| --- | --- | --- | --- | --- | --- | --- |
| MEIR | MPIR | MEIR | MPIR | MEIR | MPIR | |
| 5 | 0.222160 | 0.317380 | 0.070345 | 0.071575 | 4.604600 | 4.883100 |
| 10 | 0.219680 | 0.312970 | 0.066740 | 0.069023 | 4.364000 | 4.505900 |
| 15 | 0.2064... | | Rotation<br>ω1 | NDM | MeanScaleError | MeanRotationError | | | |
| --- | --- | --- | --- | --- | --- | --- |
| MEIR | MPIR | MEIR | MPIR | MEIR | MPIR | |
| 5 | 0.077690 | 0.299270 | 0.041627 | 0.044040 | 4.285200 | 4.982500 |
| 10 | 0.081106 | 0.303860 | 0.044879 | 0.047900 | 4.001400 | 4.710200 |
| 15 | 0.0808... | 0 |
| Rotation<br>ω1 | NDM | MeanScaleError | MeanRotationError | | | |
| --- | --- | --- | --- | --- | --- | --- |
| MEIR | MPIR | MEIR | MPIR | MEIR | MPIR | |
| 5 | 0.222160 | 0.317380 | 0.070345 | 0.071575 | 4.604600 | 4.883100 |
| 10 | 0.219680 | 0.312970 | 0.066740 | 0.069023 | 4.364000 | 4.505900 |
| 15 | 0.2064... | | 25 | 0.190730 | 0.301070 | 0.064825 | 0.066755 | 5.100400 | 5.264700 |
| --- | --- | --- | --- | --- | --- | --- |
| 30 | 0.187460 | 0.302130 | 0.065554 | 0.067711 | 5.299400 | 5.510100 | | 1 |
| Rotation<br>ω1 | NDM | MeanScaleError | MeanRotationError | | | |
| --- | --- | --- | --- | --- | --- | --- |
| MEIR | MPIR | MEIR | MPIR | MEIR | MPIR | |
| 5 | 0.222160 | 0.317380 | 0.070345 | 0.071575 | 4.604600 | 4.883100 |
| 10 | 0.219680 | 0.312970 | 0.066740 | 0.069023 | 4.364000 | 4.505900 |
| 15 | 0.2064... | | 20 | 0.086114 | 0.304760 | 0.045060 | 0.048703 | 3.853000 | 4.521800 |
| --- | --- | --- | --- | --- | --- | --- |
| 25 | 0.090683 | 0.306830 | 0.044147 | 0.046658 | 4.439000 | 5.129100 |
| 30 | 0.095251 | 0.306230 | 0.045137 | 0.048883 | 4.748100 | 5.269300 | | 0 |
| Feature | ExtractionTime | DefaultDimension |
| --- | --- | --- |
| gBiCov | 13.6152s | 5940 |
| LOMO | 0.2610s | 26960 |
| ELF16 | 0.5720s | 8064 | | | CNN-FC7 | 0.1773s | 4096 |
| --- | --- | --- |
| Ours(withELF16) | 0.1769s+0.5720s | 4096 | | 1 |
| Feature | ExtractionTime | DefaultDimension |
| --- | --- | --- |
| gBiCov | 13.6152s | 5940 |
| LOMO | 0.2610s | 26960 |
| ELF16 | 0.5720s | 8064 | | | FeatureType | Top100 | Top500 |
| --- | --- | --- |
| Extension | 27 | 79 |
| Filesizerelated | 2 | 2 |
| Timerelated | 3 | 3 |
| Text | 68 | 416 | | 0 |
| Feature | ExtractionTime | DefaultDimension |
| --- | --- | --- |
| gBiCov | 13.6152s | 5940 |
| LOMO | 0.2610s | 26960 |
| ELF16 | 0.5720s | 8064 | | | CNN-FC7 | 0.1773s | 4096 |
| --- | --- | --- |
| Ours(withELF16) | 0.1769s+0.5720s | 4096 | | 1 |
| Feature | ExtractionTime | DefaultDimension |
| --- | --- | --- |
| gBiCov | 13.6152s | 5940 |
| LOMO | 0.2610s | 26960 |
| ELF16 | 0.5720s | 8064 | | | Filesizerelated | 2 | 2 |
| --- | --- | --- |
| Timerelated | 3 | 3 |
| Text | 68 | 416 | | 0 |
| Parameter | Parametersetting |
| --- | --- |
| p1 | p=4×(I−0.5)1 | | | p2 | p=0.22 |
| --- | --- |
| p3 | p=exp(−I)3 |
| F | F=(I+0.1)×rand(−1,1) | | 1 |
| Parameter | Parametersetting |
| --- | --- |
| p1 | p=4×(I−0.5)1 | | | Parameter | Value |
| --- | --- |
| A=Apn | 4000 |
| xp | 0.3 |
| xn | 0.5 |
| αp | 1 |
| αn | 5 |
| a=a12 | 0.17 |
| b | 0.05 |
| Vp | 0.16[V] |
| Vn | -0.15[V] | | 0 |
| Parameter | Parametersetting |
| --- | --- |
| p1 | p=4×(I−0.5)1 | | | p2 | p=0.22 |
| --- | --- |
| p3 | p=exp(−I)3 |
| F | F=(I+0.1)×rand(−1,1) | | 1 |
| Parameter | Parametersetting |
| --- | --- |
| p1 | p=4×(I−0.5)1 | | | a=a12 | 0.17 |
| --- | --- |
| b | 0.05 |
| Vp | 0.16[V] |
| Vn | -0.15[V] | | 0 |
| NewServer | PowerandCooling | Revenue |
| --- | --- | --- |
| 68 | 38 | 2860.85 |
| 44 | 25 | 1253.17 |
| 62 | 12 | 2158.85 |
| 59 | 37 | 2209.80 |
| 49 | 10 | 1387.88 |
| 54 | 20 | 1771.79 |
| 59 | 18 | 2056.18 |
| 78 | 25 | 3512.08 | | | 73 | 25 | 3117.28 |
| --- | --- | --- |
| 49 | 10 | 1387.88 |
| 75 | 21 | 3216.12 |
| 61 | 19 | 2195.17 |
| 57 | 28 | 2019.72 |
| 61 | 34 | 2326.71 |
| 56 | 34 | 1994.74 |
| 56 | 11 | 1781.88 |
| 66 | 12 | 2566.97 | | 1 |
| NewServer | PowerandCooling | Revenue |
| --- | --- | --- |
| 68 | 38 | 2860.85 |
| 44 | 25 | 1253.17 |
| 62 | 12 | 2158.85 |
| 59 | 37 | 2209.80 |
| 49 | 10 | 1387.88 |
| 54 | 20 | 1771.79 |
| 59 | 18 | 2056.18 |
| 78 | 25 | 3512.08 | | | NewServer | PowerandCooling | Revenue |
| --- | --- | --- |
| 68 | 38 | 42.0713 |
| 44 | 25 | 28.4811 |
| 62 | 12 | 34.8202 |
| 59 | 37 | 37.4543 |
| 49 | 10 | 28.3241 |
| 54 | 20 | 32.8109 |
| 59 | 18 | 34.8505 |
| 78 | 25 | 45.0267 |
| 73 | 25 | 42.7024 |
| 49 | 10 | 28.3241 |
| 75 | 21 | 42.8816 |
| 61 | 19 | 35.9... | 0 |
| NewServer | PowerandCooling | Revenue |
| --- | --- | --- |
| 68 | 38 | 2860.85 |
| 44 | 25 | 1253.17 |
| 62 | 12 | 2158.85 |
| 59 | 37 | 2209.80 | | | 49 | 10 | 1387.88 |
| --- | --- | --- |
| 54 | 20 | 1771.79 |
| 59 | 18 | 2056.18 |
| 78 | 25 | 3512.08 |
| 73 | 25 | 3117.28 |
| 49 | 10 | 1387.88 |
| 75 | 21 | 3216.12 |
| 61 | 19 | 2195.17 |
| 57 | 28 | 2019.72 |
| 61 | 34 | 2326.71 |
| 56 | 34 | 1994.74 |
| 56 | 11 | 1781.88 |
| 66 | 12 | 2566.97 | | 1 |
| NewServer | PowerandCooling | Revenue |
| --- | --- | --- |
| 68 | 38 | 2860.85 |
| 44 | 25 | 1253.17 |
| 62 | 12 | 2158.85 |
| 59 | 37 | 2209.80 | | | 61 | 19 | 35.9865 |
| --- | --- | --- |
| 57 | 28 | 35.4336 |
| 61 | 34 | 38.1427 |
| 56 | 34 | 35.6204 |
| 56 | 11 | 31.8192 |
| 66 | 12 | 38.8935 | | 0 |
| transactionID | timestamp | procedurepointer | parameters |
| --- | --- | --- | --- |
| 1 | 100001 | p | A,B |
| 2 | 100002 | p | C,G | | | 3 | 100003 | p | D,B |
| --- | --- | --- | --- |
| 4 | 100004 | p | G,D | | 1 |
| transactionID | timestamp | procedurepointer | parameters |
| --- | --- | --- | --- |
| 1 | 100001 | p | A,B |
| 2 | 100002 | p | C,G | | | UniqueActors | ExecutionTime(msec) | | | |
| --- | --- | --- | --- | --- |
| | Step-8 | Step-9 | | |
| | MySQL | Neo4j | MySQL | Neo4j |
| 150 | 225 | 9616 | 1907 | 2403 |
| 158 | 372 | 11700 | 2844 | 2925 |
| 220 | 713 | 14655 | 6292 | 3664 |
| 229 | 903 | 29520 | 6703 | 7380 |
| 242 | 1403 | 48891 | 8453 | 1... | 0 |
| transactionID | timestamp | procedurepointer | parameters |
| --- | --- | --- | --- |
| 1 | 100001 | p | A,B |
| 2 | 100002 | p | C,G | | | 3 | 100003 | p | D,B |
| --- | --- | --- | --- |
| 4 | 100004 | p | G,D | | 1 |
| transactionID | timestamp | procedurepointer | parameters |
| --- | --- | --- | --- |
| 1 | 100001 | p | A,B |
| 2 | 100002 | p | C,G | | | 229 | 903 | 29520 | 6703 | 7380 |
| --- | --- | --- | --- | --- |
| 242 | 1403 | 48891 | 8453 | 12223 | | 0 |
| \|E\| | n..ofedges |
| --- | --- |
| \|V\| | n.nodes |
| ∆ | maxdegree |
| δ | mindegree | | | m | inputmonitors |
| --- | --- |
| M | outputmonitors | | 1 |
| \|E\| | n..ofedges |
| --- | --- |
| \|V\| | n.nodes |
| ∆ | maxdegree |
| δ | mindegree | | | Variable | Description |
| --- | --- |
| V | setofnodesinagraph |
| E | setofedgesinagraph |
| B(e) | edgecapacityforedgee |
| C(v) | nodecapacityfornodev |
| D | thesetofflowdemands |
| δ(v) | theedgesleavingvertexv |
| δ(v) | theedgesenteringvertexv |
| P | thesetofwalksfromsourcestodestinations |
| p<br>i,π | walk-... | 0 |
| \|E\| | n..ofedges |
| --- | --- |
| \|V\| | n.nodes |
| ∆ | maxdegree | | | δ | mindegree |
| --- | --- |
| m | inputmonitors |
| M | outputmonitors | | 1 |
| \|E\| | n..ofedges |
| --- | --- |
| \|V\| | n.nodes |
| ∆ | maxdegree | | | w(e)i | edge-based;theamountofunprocessedflowi<br>thattraverseseonitswayfromstotii |
| --- | --- |
| p(v)i | edge-based;theamountofprocessingdoneat<br>nodevfortheithflow | | 0 |
| MarketName | #ofBenignApps | #ofMalware |
| --- | --- | --- |
| GooglePlay | 39156 | 26178 | | | Anzhi | 2957 | 12260 |
| --- | --- | --- |
| AppChina | 1845 | 4154 |
| SlideMe | 289 | 132 |
| HiApk | 65 | 157 |
| FDroid | 29 | 2 |
| Angeeks | 6 | 27 | | 1 |
| MarketName | #ofBenignApps | #ofMalware |
| --- | --- | --- |
| GooglePlay | 39156 | 26178 | | | Market | #ofBenignApps | #ofMalware |
| --- | --- | --- |
| GooglePlay | 39156 | 26178 |
| Anzhi | 2957 | 12260 |
| AppChina | 1845 | 4154 |
| SlideMe | 289 | 132 |
| HiApk | 65 | 157 |
| FDroid | 29 | 2 |
| Angeeks | 6 | 27 | | 0 |
| MarketName | #ofBenignApps | #ofMalware |
| --- | --- | --- |
| GooglePlay | 39156 | 26178 |
| Anzhi | 2957 | 12260 |
| AppChina | 1845 | 4154 |
| SlideMe | 289 | 132 |
| HiApk | 65 | 157 | | | FDroid | 29 | 2 |
| --- | --- | --- |
| Angeeks | 6 | 27 | | 1 |
| MarketName | #ofBenignApps | #ofMalware |
| --- | --- | --- |
| GooglePlay | 39156 | 26178 |
| Anzhi | 2957 | 12260 |
| AppChina | 1845 | 4154 |
| SlideMe | 289 | 132 |
| HiApk | 65 | 157 | | | AppChina | 1845 | 4154 |
| --- | --- | --- |
| SlideMe | 289 | 132 |
| HiApk | 65 | 157 |
| FDroid | 29 | 2 |
| Angeeks | 6 | 27 | | 0 |
| Locations | W | C | TL | TR | BL | BR |
| --- | --- | --- | --- | --- | --- | --- |
| aeroplane | 65.6 | 30.2 | 0 | 0 | 2.1 | 2.1 |
| bird | 78.1 | 21.9 | 0 | 0 | 0 | 0 |
| boat | 45.8 | 21.6 | 0 | 0 | 12.3 | 20.2 |
| car | 54.1 | 40.2 | 2.0 | 0 | 3.7 | 0 |
| cat | 76.4 | 17.3 | 5.0 | 0 | 1.3 | 0 |
| cow | 70.8 | 22.... | | dog | 92.8 | 6.2 | 1.0 | 0 | 0 | 0 |
| --- | --- | --- | --- | --- | --- | --- |
| horse | 75.9 | 14.7 | 0 | 0 | 8.3 | 1.2 |
| motorbike | 65.3 | 33.7 | 0 | 0 | 0 | 1.0 |
| train | 56.5 | 20.0 | 0 | 2.4 | 12.8 | 8.4 | | 1 |
| Locations | W | C | TL | TR | BL | BR |
| --- | --- | --- | --- | --- | --- | --- |
| aeroplane | 65.6 | 30.2 | 0 | 0 | 2.1 | 2.1 |
| bird | 78.1 | 21.9 | 0 | 0 | 0 | 0 |
| boat | 45.8 | 21.6 | 0 | 0 | 12.3 | 20.2 |
| car | 54.1 | 40.2 | 2.0 | 0 | 3.7 | 0 |
| cat | 76.4 | 17.3 | 5.0 | 0 | 1.3 | 0 |
| cow | 70.8 | 22.... | | Class | mEAS | CorLoc | Class | mEAS | CorLoc |
| --- | --- | --- | --- | --- | --- |
| bus | 0.306 | 0.699 | car | 0.262 | 0.750 |
| tv | 0.254 | 0.582 | aero | 0.220 | 0.685 |
| mbike | 0.206 | 0.829 | train | 0.206 | 0.628 |
| horse | 0.195 | 0.672 | cow | 0.185 | 0.681 |
| boat | 0.177 | 0.343 | sheep | 0.176 | 0... | 0 |
| Locations | W | C | TL | TR | BL | BR |
| --- | --- | --- | --- | --- | --- | --- |
| aeroplane | 65.6 | 30.2 | 0 | 0 | 2.1 | 2.1 |
| bird | 78.1 | 21.9 | 0 | 0 | 0 | 0 |
| boat | 45.8 | 21.6 | 0 | 0 | 12.3 | 20.2 |
| car | 54.1 | 40.2 | 2.0 | 0 | 3.7 | 0 |
| cat | 76.4 | 17.3 | 5.0 | 0 | 1.3 | 0 |
| cow | 70.8 | 22.... | | motorbike | 65.3 | 33.7 | 0 | 0 | 0 | 1.0 |
| --- | --- | --- | --- | --- | --- | --- |
| train | 56.5 | 20.0 | 0 | 2.4 | 12.8 | 8.4 | | 1 |
| Locations | W | C | TL | TR | BL | BR |
| --- | --- | --- | --- | --- | --- | --- |
| aeroplane | 65.6 | 30.2 | 0 | 0 | 2.1 | 2.1 |
| bird | 78.1 | 21.9 | 0 | 0 | 0 | 0 |
| boat | 45.8 | 21.6 | 0 | 0 | 12.3 | 20.2 |
| car | 54.1 | 40.2 | 2.0 | 0 | 3.7 | 0 |
| cat | 76.4 | 17.3 | 5.0 | 0 | 1.3 | 0 |
| cow | 70.8 | 22.... | | horse | 0.195 | 0.672 | cow | 0.185 | 0.681 |
| --- | --- | --- | --- | --- | --- |
| boat | 0.177 | 0.343 | sheep | 0.176 | 0.719 |
| bike | 0.170 | 0.675 | bird | 0.170 | 0.567 |
| sofa | 0.165 | 0.620 | plant | 0.163 | 0.437 |
| person | 0.162 | 0.288 | bottle | 0.150 | 0.328 |
| cat | 0.143 | 0.457 | dog | 0.135 ... | 0 |
| | Customer | Agent | | |
| --- | --- | --- | --- | --- |
| | F1-score | ARI | F1-score | ARI | | | K-means(Doc2Vec) | 0.787 | 0.150 | 0.783 | 0.136 |
| --- | --- | --- | --- | --- |
| SimCluster(Doc2Vec) | 0.88 | 0.19 | 0.887 | 0.192 |
| K-means(Seq2Seq) | 0.830 | 0.159 | 0.900 | 0.218 |
| SimCluster(Seq2Seq) | 0.860 | 0.181 | 0.916 | 0.218 | | 1 |
| | Customer | Agent | | |
| --- | --- | --- | --- | --- |
| | F1-score | ARI | F1-score | ARI | | | Method | Dataset | IDF1 | IDPR | IDRC | MOTA | PR | RC | MT |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| KSP | Town | 0.56(0.47) | 0.55 | 0.57 | 0.87 | 0.93 | 0.97 | 226 |
| MDP | Town | 0.87(0.84) | 0.92 | 0.82 | 0.87 | 0.99 | 0.89 | 184 |
| RNN | Town | 0.65(0.57) | 0.65 | 0.65 | 0.85 | 0.95 | 0.95 |... | 0 |
| | Customer | Agent | | |
| --- | --- | --- | --- | --- |
| | F1-score | ARI | F1-score | ARI | | | K-means(Doc2Vec) | 0.787 | 0.150 | 0.783 | 0.136 |
| --- | --- | --- | --- | --- |
| SimCluster(Doc2Vec) | 0.88 | 0.19 | 0.887 | 0.192 |
| K-means(Seq2Seq) | 0.830 | 0.159 | 0.900 | 0.218 |
| SimCluster(Seq2Seq) | 0.860 | 0.181 | 0.916 | 0.218 | | 1 |
| | Customer | Agent | | |
| --- | --- | --- | --- | --- |
| | F1-score | ARI | F1-score | ARI | | | KSP | Hotel | 0.60(0.21) | 0.61 | 0.58 | 0.74 | 0.90 | 0.86 | 217 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| MDP | Hotel | 0.85(0.33) | 0.87 | 0.83 | 0.84 | 0.95 | 0.90 | 249 |
| RNN | Hotel | 0.70(0.28) | 0.69 | 0.71 | 0.78 | 0.91 | 0.94 | 284 |
| SORT | Hotel | 0.88(0.36) | 0.97 | 0.81 | 0.82 | 0.9... | 0 |
| | Train<br>/Test | Method | Accuracy | |
| --- | --- | --- | --- | --- |
| AVLetters | CUAVE | | | |
| Cross-<br>modality<br>learning | Video<br>/Video | Raw | 38.08 | 42.05 |
| CorrRNN | 81.85 | 96.22 | | |
| Audio<br>/Audio | Raw | 57.31 | 88.32 | |
| CorrRNN | 85.33 | 96.11 | | |
| Shared<br>represe-<br>... | | Audio<br>/Video | MDAE | - | 30.70 |
| --- | --- | --- | --- |
| CorrRNN | 81.85 | 96.33 | | | 1 |
| | Train<br>/Test | Method | Accuracy | |
| --- | --- | --- | --- | --- |
| AVLetters | CUAVE | | | |
| Cross-<br>modality<br>learning | Video<br>/Video | Raw | 38.08 | 42.05 |
| CorrRNN | 81.85 | 96.22 | | |
| Audio<br>/Audio | Raw | 57.31 | 88.32 | |
| CorrRNN | 85.33 | 96.11 | | |
| Shared<br>represe-<br>... | | Labels: | LLP | MIL | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Trainingsetsize: | 100subjects | 700subjects | 700subjects | | | | | | | |
| Region: | RU | LU | RU | LU | RU | LU | | | | |
| Metric: | ICC | rs | ICC | rs | ICC | AUC | ICC | AUC | AUC | AU... | 0 |
| | Train<br>/Test | Method | Accuracy | |
| --- | --- | --- | --- | --- |
| AVLetters | CUAVE | | | |
| Cross-<br>modality<br>learning | Video<br>/Video | Raw | 38.08 | 42.05 |
| CorrRNN | 81.85 | 96.22 | | |
| Audio<br>/Audio | Raw | 57.31 | 88.32 | | | | CorrRNN | 85.33 | 96.11 | | |
| --- | --- | --- | --- | --- |
| Shared<br>represe-<br>ntation<br>learning | Video<br>/Audio | MDAE | - | 24.30 |
| CorrRNN | 85.33 | 96.77 | | |
| Audio<br>/Video | MDAE | - | 30.70 | |
| CorrRNN | 81.85 | 96.33 | | | | 1 |
| | Train<br>/Test | Method | Accuracy | |
| --- | --- | --- | --- | --- |
| AVLetters | CUAVE | | | |
| Cross-<br>modality<br>learning | Video<br>/Video | Raw | 38.08 | 42.05 |
| CorrRNN | 81.85 | 96.22 | | |
| Audio<br>/Audio | Raw | 57.31 | 88.32 | | | | Metric: | ICC | rs | ICC | rs | ICC | AUC | ICC | AUC | AUC | AUC |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Densitometry<br>and<br>GAPNet+RMS<br>GAPNet+LPI6<br>ProportionNet | -<br>0.72<br>-<br>0.77<br>0.87 | 0.23<br>-<br>-<br>0.62<br>0.73 | -<br>0.63<br>-<br>0.74<br>0.81 | 0.14<br>-<br>... | 0 |
| network | ncomm | Q | nG,tot | pG,tot | nL,av | pL,av |
| --- | --- | --- | --- | --- | --- | --- |
| VTc | 4 | 0.332 | 6 | 0.48 | 9 | 10 |
| stn | 58 | 0.530 | 3 | 0.75 | 19 | 10 |
| Rome | 39 | 0.907 | 18 | 10 | 19 | 10 | | | ER | 3.68<br>1.55 | 0.114<br>0.020 | 3.94<br>2.34 | 0.59<br>0.30 | 5.39<br>3.34 | 0.66<br>0.29 |
| --- | --- | --- | --- | --- | --- | --- |
| benchm | 3.19<br>0.50 | 0.449<br>0.042 | 3.83<br>2.07 | 0.19<br>0.24 | 5.21<br>3.36 | 0.10<br>0.20 |
| kernelaggr. | 18 | 0.426 | 12 | 0.41 | 19 | 0.40 |
| stnaggr. | 9 | 0.34... | 1 |
| network | ncomm | Q | nG,tot | pG,tot | nL,av | pL,av |
| --- | --- | --- | --- | --- | --- | --- |
| VTc | 4 | 0.332 | 6 | 0.48 | 9 | 10 |
| stn | 58 | 0.530 | 3 | 0.75 | 19 | 10 |
| Rome | 39 | 0.907 | 18 | 10 | 19 | 10 | | | nv04 | #ret | Av.P | Av.R | Av.F | Difference |
| --- | --- | --- | --- | --- | --- |
| p0.7 | 5713 | 0.495 | 0.864 | 0.615 | 192novelin<br>492extra |
| sp0.7s2.0 | 6205 | 0.487 | 0.911 | 0.620 | |
| sp0.7s2.0 | 6205 | 0.487 | 0.911 | 0.620 | 80novelin<br>347extra |
| sp0.7s3.0 | 6552 | 0.475 | 0.929 | 0.615 | |
| s... | 0 |
| network | ncomm | Q | nG,tot | pG,tot | nL,av | pL,av |
| --- | --- | --- | --- | --- | --- | --- |
| VTc | 4 | 0.332 | 6 | 0.48 | 9 | 10 | | | stn | 58 | 0.530 | 3 | 0.75 | 19 | 10 |
| --- | --- | --- | --- | --- | --- | --- |
| Rome | 39 | 0.907 | 18 | 10 | 19 | 10 |
| ER | 3.68<br>1.55 | 0.114<br>0.020 | 3.94<br>2.34 | 0.59<br>0.30 | 5.39<br>3.34 | 0.66<br>0.29 |
| benchm | 3.19<br>0.50 | 0.449<br>0.042 | 3.83<br>2.07 | 0.19<br>0.24 | 5.21<br>3.36 | 0.10<... | 1 |
| network | ncomm | Q | nG,tot | pG,tot | nL,av | pL,av |
| --- | --- | --- | --- | --- | --- | --- |
| VTc | 4 | 0.332 | 6 | 0.48 | 9 | 10 | | | sp0.7s5.0 | 6893 | 0.464 | 0.945 | 0.608 | |
| --- | --- | --- | --- | --- | --- |
| sp0.7s5.0 | 6893 | 0.464 | 0.945 | 0.608 | 22novelin<br>72extra |
| o0.7 | 6965 | 0.462 | 0.950 | 0.608 | |
| nv03 | #ret | Av.P | Av.R | Av.F | Difference |
| p0.7 | 9127 | 0.755 | 0.762 | 0.744 | 2763novel<br>4123extra |
| sp0.7s5... | 0 |
| Loss | Epoch500 | Epoch1000 | Epoch1500 |
| --- | --- | --- | --- |
| SPRG | 3.17/2.40 | 3.27/2.54 | 3.06/2.39 |
| CENT | 3.44/2.59 | 3.34/2.60 | 3.41/2.63 | | | SPRG+SD | 3.42/2.63 | 3.43/2.53 | 3.05/2.17 |
| --- | --- | --- | --- |
| CENT+SD | 3.25/2.49 | 3.15/2.32 | 3.15/2.36 | | 1 |
| Loss | Epoch500 | Epoch1000 | Epoch1500 |
| --- | --- | --- | --- |
| SPRG | 3.17/2.40 | 3.27/2.54 | 3.06/2.39 |
| CENT | 3.44/2.59 | 3.34/2.60 | 3.41/2.63 | | | FineTuning | GradualTuning | | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| Reg | Task-B | Task-A | Epochs | Task-B | Task-A | Epochs |
| No | 2.01±0.03 | 1.5→4.3±0.9 | 117±70 | 1.99±0.05 | 1.5→2.6±0.1 | 147±39 |
| L1 | 1.92±0.05 | 1.6→3.4±1.3 | 188±54 | 1.88±0.02 | 1.6→2.0±0.1 | 245±59 |
| Drop | 1.66±... | 0 |
| Loss | Epoch500 | Epoch1000 | Epoch1500 |
| --- | --- | --- | --- |
| SPRG | 3.17/2.40 | 3.27/2.54 | 3.06/2.39 |
| CENT | 3.44/2.59 | 3.34/2.60 | 3.41/2.63 | | | SPRG+SD | 3.42/2.63 | 3.43/2.53 | 3.05/2.17 |
| --- | --- | --- | --- |
| CENT+SD | 3.25/2.49 | 3.15/2.32 | 3.15/2.36 | | 1 |
| Loss | Epoch500 | Epoch1000 | Epoch1500 |
| --- | --- | --- | --- |
| SPRG | 3.17/2.40 | 3.27/2.54 | 3.06/2.39 |
| CENT | 3.44/2.59 | 3.34/2.60 | 3.41/2.63 | | | L1 | 1.92±0.05 | 1.6→3.4±1.3 | 188±54 | 1.88±0.02 | 1.6→2.0±0.1 | 245±59 |
| --- | --- | --- | --- | --- | --- | --- |
| Drop | 1.66±0.05 | 1.3→12.1±0.6 | 102±17 | 1.52±0.05 | 1.3→3.9±0.3 | 138±35 | | 0 |
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