premise string | hypothesis string | label int64 |
|---|---|---|
| DS | M | de | fr | ru | it | nl | pt | sv | es | ar | fa | M.AVG |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| MC | ESA<br>LSA<br>W2V<br>GloVe | -0.18<br>-0.13<br>-0.02<br>-0.31 | -0.03<br>0.31<br>0.43<br>0.22 | -0.36<br>0.04<br>0.07<br>-0.11 | 0.03<br>0.16<br>0.05<br>0.25 | -0.16<br>0.20<br>0.21<br>0.14 | -0.44<br>0.70<br>1.04<br>-0.10 | 0.31<br>0.27<br>1.00<br>0.51 | -0.32<br>0.17<br>0.13<br>0.26 | -0.16<br>0.50<br>0.88<br>0.85 | 0.03<br>0.68<br>0.09<br>0.75 | -0.13<br>0.29<br>0.39<br>0.25 |
| RG | ESA<br>LSA<br>W2V<br>GloVe | -0.09<br>-0.03<br>-0.11<br>-0.11 | 0.19<br>1.04<br>0.39<br>0.55 | -0.18<br>0.14<br>0.08<br>0.01 | 0.21<br>0.52<br>0.14<br>0.31 | 0.08<br>0.30<br>0.18<br>0.43 | 0.11<br>1.15<br>0.76<br>0.28 | 0.12<br>0.26<br>0.23<br>0.35 | -0.19<br>0.77<br>0.14<br>0.17 | 0.06<br>0.57<br>0.59<br>1.04 | 0.25<br>0.52<br>0.44<br>0.36 | 0.06<br>0.52<br>0.28<br>0.34 | | | WS353 | ESA<br>LSA<br>W2V<br>GloVe | 0.08<br>0.12<br>0.14<br>0.10 | 0.40<br>0.43<br>0.19<br>0.41 | -0.07<br>0.19<br>0.09<br>0.00 | 0.18<br>0.45<br>0.14<br>0.41 | -0.18<br>0.09<br>0.08<br>0.00 | -0.02<br>-0.01<br>-0.04<br>-0.14 | -0.07<br>0.27<br>0.33<br>0.28 | -0.07<br>0.21<br>0.04<br>0.30 | 0.60<br>0.34<br>0.12<br>0.28 | -0.13<br>0.01<br>0.00<br>0.04 | 0.07<br>0.21<br>0.11<br>0.17 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | AVG | 0.06 | 0.52 | 0.13 | 0.36 | 0.23 | 0.29 | 0.70 | 0.22 | 0.59 | 0.82 | | | 1 |
| DS | M | de | fr | ru | it | nl | pt | sv | es | ar | fa | M.AVG |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| MC | ESA<br>LSA<br>W2V<br>GloVe | -0.18<br>-0.13<br>-0.02<br>-0.31 | -0.03<br>0.31<br>0.43<br>0.22 | -0.36<br>0.04<br>0.07<br>-0.11 | 0.03<br>0.16<br>0.05<br>0.25 | -0.16<br>0.20<br>0.21<br>0.14 | -0.44<br>0.70<br>1.04<br>-0.10 | 0.31<br>0.27<br>1.00<br>0.51 | -0.32<br>0.17<br>0.13<br>0.26 | -0.16<br>0.50<br>0.88<br>0.85 | 0.03<br>0.68<br>0.09<br>0.75 | -0.13<br>0.29<br>0.39<br>0.25 |
| RG | ESA<br>LSA<br>W2V<br>GloVe | -0.09<br>-0.03<br>-0.11<br>-0.11 | 0.19<br>1.04<br>0.39<br>0.55 | -0.18<br>0.14<br>0.08<br>0.01 | 0.21<br>0.52<br>0.14<br>0.31 | 0.08<br>0.30<br>0.18<br>0.43 | 0.11<br>1.15<br>0.76<br>0.28 | 0.12<br>0.26<br>0.23<br>0.35 | -0.19<br>0.77<br>0.14<br>0.17 | 0.06<br>0.57<br>0.59<br>1.04 | 0.25<br>0.52<br>0.44<br>0.36 | 0.06<br>0.52<br>0.28<br>0.34 | | | Lexicon | MEN-3k | RG-65 | WS-353 | TOEFL | SYN-REL | SA |
| --- | --- | --- | --- | --- | --- | --- |
| Glove | 73.7 | 76.7 | 60.5 | 89.7 | 67.0 | 79.6 |
| +PPDB<br>+WNsyn<br>+WNall<br>+FN | 1.4<br>0.0<br>2.2<br>–3.6 | 2.9<br>2.7<br>7.5<br>–1.0 | –1.2<br>0.5<br>0.7<br>–5.3 | 5.1<br>5.1<br>2.6<br>2.6 | –0.4<br>–12.4<br>–8.4<br>–7.0 | 1.6<br>0.7<br>0.5<br>0.0 |
| SG | 67.8 | 72.8 | 65.6 | 85.3 | 73.9 | 81.2 |
| +PPDB<br>+WNsyn<br>+WNall<br>+FN | 5.4<br>0.7<br>2.5<br>–3.2 | 3.5<br>3.9<br>5.0<br>2.6 | 4.4<br>0.0<br>1.9<br>–4.9 | 10.7<br>9.3<br>9.3<br>1.3 | –2.3<br>–13.6<br>–10.7<br>–7.3 | 0.9<br>0.7<br>–0.3<br>0.5 |
| GC | 31.3 | 62.8 | 62.3 | 60.8 | 10.9 | 67.8 |
| +PPDB<br>+WNsyn<br>+WNall<br>+FN | 7.0<br>3.6<br>6.7<br>1.8 | 6.1<br>6.4<br>10.2<br>4.0 | 2.0<br>0.6<br>2.3<br>0.0 | 13.1<br>7.3<br>4.4<br>4.4 | 5.3<br>–1.7<br>–0.6<br>–0.6 | 1.1<br>0.0<br>0.2<br>0.2 |
| Multi | 75.8 | 75.5 | 68.1 | 84.0 | 45.5 | 81.0 |
| +PPDB<br>+WNsyn<br>+WNall<br>+FN | 3.8<br>1.2<br>2.9<br>1.8 | 4.0<br>0.2<br>8.5<br>4.0 | 6.0<br>2.2<br>4.3<br>0.0 | 12.0<br>6.6<br>6.6<br>4.4 | 4.3<br>–12.3<br>–10.6<br>–0.6 | 0.6<br>1.4<br>1.4<br>0.2 | | 0 |
| DS | M | de | fr | ru | it | nl | pt | sv | es | ar | fa | M.AVG |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| MC | ESA<br>LSA<br>W2V<br>GloVe | -0.18<br>-0.13<br>-0.02<br>-0.31 | -0.03<br>0.31<br>0.43<br>0.22 | -0.36<br>0.04<br>0.07<br>-0.11 | 0.03<br>0.16<br>0.05<br>0.25 | -0.16<br>0.20<br>0.21<br>0.14 | -0.44<br>0.70<br>1.04<br>-0.10 | 0.31<br>0.27<br>1.00<br>0.51 | -0.32<br>0.17<br>0.13<br>0.26 | -0.16<br>0.50<br>0.88<br>0.85 | 0.03<br>0.68<br>0.09<br>0.75 | -0.13<br>0.29<br>0.39<br>0.25 | | | RG | ESA<br>LSA<br>W2V<br>GloVe | -0.09<br>-0.03<br>-0.11<br>-0.11 | 0.19<br>1.04<br>0.39<br>0.55 | -0.18<br>0.14<br>0.08<br>0.01 | 0.21<br>0.52<br>0.14<br>0.31 | 0.08<br>0.30<br>0.18<br>0.43 | 0.11<br>1.15<br>0.76<br>0.28 | 0.12<br>0.26<br>0.23<br>0.35 | -0.19<br>0.77<br>0.14<br>0.17 | 0.06<br>0.57<br>0.59<br>1.04 | 0.25<br>0.52<br>0.44<br>0.36 | 0.06<br>0.52<br>0.28<br>0.34 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| WS353 | ESA<br>LSA<br>W2V<br>GloVe | 0.08<br>0.12<br>0.14<br>0.10 | 0.40<br>0.43<br>0.19<br>0.41 | -0.07<br>0.19<br>0.09<br>0.00 | 0.18<br>0.45<br>0.14<br>0.41 | -0.18<br>0.09<br>0.08<br>0.00 | -0.02<br>-0.01<br>-0.04<br>-0.14 | -0.07<br>0.27<br>0.33<br>0.28 | -0.07<br>0.21<br>0.04<br>0.30 | 0.60<br>0.34<br>0.12<br>0.28 | -0.13<br>0.01<br>0.00<br>0.04 | 0.07<br>0.21<br>0.11<br>0.17 |
| | AVG | 0.06 | 0.52 | 0.13 | 0.36 | 0.23 | 0.29 | 0.70 | 0.22 | 0.59 | 0.82 | | | 1 |
| DS | M | de | fr | ru | it | nl | pt | sv | es | ar | fa | M.AVG |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| MC | ESA<br>LSA<br>W2V<br>GloVe | -0.18<br>-0.13<br>-0.02<br>-0.31 | -0.03<br>0.31<br>0.43<br>0.22 | -0.36<br>0.04<br>0.07<br>-0.11 | 0.03<br>0.16<br>0.05<br>0.25 | -0.16<br>0.20<br>0.21<br>0.14 | -0.44<br>0.70<br>1.04<br>-0.10 | 0.31<br>0.27<br>1.00<br>0.51 | -0.32<br>0.17<br>0.13<br>0.26 | -0.16<br>0.50<br>0.88<br>0.85 | 0.03<br>0.68<br>0.09<br>0.75 | -0.13<br>0.29<br>0.39<br>0.25 | | | SG | 67.8 | 72.8 | 65.6 | 85.3 | 73.9 | 81.2 |
| --- | --- | --- | --- | --- | --- | --- |
| +PPDB<br>+WNsyn<br>+WNall<br>+FN | 5.4<br>0.7<br>2.5<br>–3.2 | 3.5<br>3.9<br>5.0<br>2.6 | 4.4<br>0.0<br>1.9<br>–4.9 | 10.7<br>9.3<br>9.3<br>1.3 | –2.3<br>–13.6<br>–10.7<br>–7.3 | 0.9<br>0.7<br>–0.3<br>0.5 |
| GC | 31.3 | 62.8 | 62.3 | 60.8 | 10.9 | 67.8 |
| +PPDB<br>+WNsyn<br>+WNall<br>+FN | 7.0<br>3.6<br>6.7<br>1.8 | 6.1<br>6.4<br>10.2<br>4.0 | 2.0<br>0.6<br>2.3<br>0.0 | 13.1<br>7.3<br>4.4<br>4.4 | 5.3<br>–1.7<br>–0.6<br>–0.6 | 1.1<br>0.0<br>0.2<br>0.2 |
| Multi | 75.8 | 75.5 | 68.1 | 84.0 | 45.5 | 81.0 |
| +PPDB<br>+WNsyn<br>+WNall<br>+FN | 3.8<br>1.2<br>2.9<br>1.8 | 4.0<br>0.2<br>8.5<br>4.0 | 6.0<br>2.2<br>4.3<br>0.0 | 12.0<br>6.6<br>6.6<br>4.4 | 4.3<br>–12.3<br>–10.6<br>–0.6 | 0.6<br>1.4<br>1.4<br>0.2 | | 0 |
| Instance | n | e | d | β(n) | αmin | α/nmin |
| --- | --- | --- | --- | --- | --- | --- |
| ash219 | 85 | 219 | 0.06 | 56 | 2 | 0.024 |
| dwt72 | 72 | 170 | 0.07 | 48 | 2 | 0.028 |
| can62 | 62 | 210 | 0.11 | 41 | 2 | 0.032 |
| dwt66 | 66 | 255 | 0.12 | 44 | 4 | 0.061 |
| bcspwr02 | 49 | 177 | 0.15 | 32 | 2 | 0.041 |
| dwt59 | 59 | 256 | 0.15 | 39 | 3 | 0.051 |
| bcspwr01 | 39 | 118 | 0.16 | 26 | 2 | 0.051 |
| ash85 | 85 | 616 | 0.17 | 56 | 6 | 0.071 |
| dwt87 | 87 | 726 | 0.19 | 58 | 4 | 0.046 |
| impcolb | 59 | 329 | 0.19 | 39 | 3 | 0.051 |
| west0067 | 67 | 411 | 0.19 | 44 | 3 | 0.045 |
| will57 | 57 | 304 | 0.19 | 38 | 2 | 0.035 |
| can96 | 96 | 912 | 0.20 | 64 | 14 | 0.146 |
| steam3 | 80 | 712 | 0.23 | 53 | 8 | 0.100 |
| curtis54 | 54 | 337 | 0.24 | 36 | 5 | 0.093 |
| can73 | 73 | 652 | 0.25 | 48 | 10 | 0.137 |
| bfw62a | 62 | 639 | 0.34 | 41 | 3 | 0.048 |
| ibm32 | 32 | 179 | 0.36 | 21 | 4 | 0.125 | | | pores1 | 30 | 179 | 0.41 | 20 | 5 | 0.167 |
| --- | --- | --- | --- | --- | --- | --- |
| can61 | 61 | 866 | 0.47 | 40 | 12 | 0.197 |
| bcsstk01 | 48 | 622 | 0.55 | 32 | 18 | 0.375 |
| can24 | 24 | 156 | 0.57 | 16 | 8 | 0.333 |
| fidapm05 | 42 | 528 | 0.61 | 28 | 12 | 0.286 |
| fidap005 | 27 | 234 | 0.67 | 18 | 9 | 0.333 | | 1 |
| Instance | n | e | d | β(n) | αmin | α/nmin |
| --- | --- | --- | --- | --- | --- | --- |
| ash219 | 85 | 219 | 0.06 | 56 | 2 | 0.024 |
| dwt72 | 72 | 170 | 0.07 | 48 | 2 | 0.028 |
| can62 | 62 | 210 | 0.11 | 41 | 2 | 0.032 |
| dwt66 | 66 | 255 | 0.12 | 44 | 4 | 0.061 |
| bcspwr02 | 49 | 177 | 0.15 | 32 | 2 | 0.041 |
| dwt59 | 59 | 256 | 0.15 | 39 | 3 | 0.051 |
| bcspwr01 | 39 | 118 | 0.16 | 26 | 2 | 0.051 |
| ash85 | 85 | 616 | 0.17 | 56 | 6 | 0.071 |
| dwt87 | 87 | 726 | 0.19 | 58 | 4 | 0.046 |
| impcolb | 59 | 329 | 0.19 | 39 | 3 | 0.051 |
| west0067 | 67 | 411 | 0.19 | 44 | 3 | 0.045 |
| will57 | 57 | 304 | 0.19 | 38 | 2 | 0.035 |
| can96 | 96 | 912 | 0.20 | 64 | 14 | 0.146 |
| steam3 | 80 | 712 | 0.23 | 53 | 8 | 0.100 |
| curtis54 | 54 | 337 | 0.24 | 36 | 5 | 0.093 |
| can73 | 73 | 652 | 0.25 | 48 | 10 | 0.137 |
| bfw62a | 62 | 639 | 0.34 | 41 | 3 | 0.048 |
| ibm32 | 32 | 179 | 0.36 | 21 | 4 | 0.125 | | | Instance | n | e | d | β(n) | αmin | α/nmin |
| --- | --- | --- | --- | --- | --- | --- |
| L125.ash608 | 125 | 390 | 0.05 | 83 | 2 | 0.016 |
| L125.will199 | 125 | 386 | 0.05 | 83 | 1 | 0.008 |
| L125.west0167 | 125 | 444 | 0.06 | 83 | 1 | 0.008 |
| ash331 | 104 | 331 | 0.06 | 69 | 2 | 0.019 |
| west0132 | 132 | 560 | 0.06 | 88 | 1 | 0.008 |
| rw136 | 136 | 641 | 0.07 | 90 | 1 | 0.007 |
| bcspwr03 | 118 | 576 | 0.08 | 78 | 2 | 0.017 |
| gre115 | 115 | 576 | 0.09 | 76 | 3 | 0.026 |
| L125.dw162 | 125 | 943 | 0.12 | 83 | 6 | 0.048 |
| L125.can187 | 125 | 1022 | 0.13 | 83 | 12 | 0.096 |
| L125.gre185 | 125 | 1177 | 0.15 | 83 | 6 | 0.048 |
| L125.can161 | 125 | 1257 | 0.16 | 83 | 12 | 0.096 |
| L125.lop163 | 125 | 1218 | 0.16 | 83 | 9 | 0.072 |
| can144 | 144 | 1656 | 0.16 | 96 | 18 | 0.125 |
| lunda | 147 | 2837 | 0.26 | 98 | 11 | 0.075 |
| L125.bcsstk05 | 125 | 2701 | 0.35 | 83 | 17 | 0.136 |
| L125.dwt193 | 125 | 2982 | 0.38 | 83 | 21 | 0.168 |
| L125.fs1831 | 125 | 3392 | 0.44 | 83 | 1 | 0.008 |
| bcsstk04 | 132 | 5918 | 0.68 | 88 | 48 | 0.364 |
| arc130 | 130 | 7763 | 0.93 | 86 | 21 | 0.162 | | 0 |
| Instance | n | e | d | β(n) | αmin | α/nmin |
| --- | --- | --- | --- | --- | --- | --- |
| ash219 | 85 | 219 | 0.06 | 56 | 2 | 0.024 |
| dwt72 | 72 | 170 | 0.07 | 48 | 2 | 0.028 |
| can62 | 62 | 210 | 0.11 | 41 | 2 | 0.032 |
| dwt66 | 66 | 255 | 0.12 | 44 | 4 | 0.061 |
| bcspwr02 | 49 | 177 | 0.15 | 32 | 2 | 0.041 |
| dwt59 | 59 | 256 | 0.15 | 39 | 3 | 0.051 |
| bcspwr01 | 39 | 118 | 0.16 | 26 | 2 | 0.051 |
| ash85 | 85 | 616 | 0.17 | 56 | 6 | 0.071 |
| dwt87 | 87 | 726 | 0.19 | 58 | 4 | 0.046 | | | impcolb | 59 | 329 | 0.19 | 39 | 3 | 0.051 |
| --- | --- | --- | --- | --- | --- | --- |
| west0067 | 67 | 411 | 0.19 | 44 | 3 | 0.045 |
| will57 | 57 | 304 | 0.19 | 38 | 2 | 0.035 |
| can96 | 96 | 912 | 0.20 | 64 | 14 | 0.146 |
| steam3 | 80 | 712 | 0.23 | 53 | 8 | 0.100 |
| curtis54 | 54 | 337 | 0.24 | 36 | 5 | 0.093 |
| can73 | 73 | 652 | 0.25 | 48 | 10 | 0.137 |
| bfw62a | 62 | 639 | 0.34 | 41 | 3 | 0.048 |
| ibm32 | 32 | 179 | 0.36 | 21 | 4 | 0.125 |
| pores1 | 30 | 179 | 0.41 | 20 | 5 | 0.167 |
| can61 | 61 | 866 | 0.47 | 40 | 12 | 0.197 |
| bcsstk01 | 48 | 622 | 0.55 | 32 | 18 | 0.375 |
| can24 | 24 | 156 | 0.57 | 16 | 8 | 0.333 |
| fidapm05 | 42 | 528 | 0.61 | 28 | 12 | 0.286 |
| fidap005 | 27 | 234 | 0.67 | 18 | 9 | 0.333 | | 1 |
| Instance | n | e | d | β(n) | αmin | α/nmin |
| --- | --- | --- | --- | --- | --- | --- |
| ash219 | 85 | 219 | 0.06 | 56 | 2 | 0.024 |
| dwt72 | 72 | 170 | 0.07 | 48 | 2 | 0.028 |
| can62 | 62 | 210 | 0.11 | 41 | 2 | 0.032 |
| dwt66 | 66 | 255 | 0.12 | 44 | 4 | 0.061 |
| bcspwr02 | 49 | 177 | 0.15 | 32 | 2 | 0.041 |
| dwt59 | 59 | 256 | 0.15 | 39 | 3 | 0.051 |
| bcspwr01 | 39 | 118 | 0.16 | 26 | 2 | 0.051 |
| ash85 | 85 | 616 | 0.17 | 56 | 6 | 0.071 |
| dwt87 | 87 | 726 | 0.19 | 58 | 4 | 0.046 | | | lunda | 147 | 2837 | 0.26 | 98 | 11 | 0.075 |
| --- | --- | --- | --- | --- | --- | --- |
| L125.bcsstk05 | 125 | 2701 | 0.35 | 83 | 17 | 0.136 |
| L125.dwt193 | 125 | 2982 | 0.38 | 83 | 21 | 0.168 |
| L125.fs1831 | 125 | 3392 | 0.44 | 83 | 1 | 0.008 |
| bcsstk04 | 132 | 5918 | 0.68 | 88 | 48 | 0.364 |
| arc130 | 130 | 7763 | 0.93 | 86 | 21 | 0.162 | | 0 |
| | Completeset | Smallmatrices | Largematrices | | | |
| --- | --- | --- | --- | --- | --- | --- |
| | Single | Double | Single | Double | Single | Double | | | CSRmin.<br>CSRmax.<br>CSRaverage | 0.16<br>1.4<br>0.88 | 0.1<br>1.3<br>0.83 | 0.1<br>1.4<br>0.84 | 0.1<br>1.3<br>0.83 | 0.19<br>1.2<br>0.82 | 0.19<br>1.2<br>0.82 |
| --- | --- | --- | --- | --- | --- | --- |
| Hybridmin.<br>Hybridmax.<br>Hybridaverage. | 0.0009<br>16.0<br>2.56 | 0.0008<br>11.0<br>1.57 | 0.0009<br>8.9<br>1.07 | 0.0008<br>6.1<br>0.72 | 0.24<br>16.0<br>5.48 | 0.19<br>11.0<br>3.2 |
| Speed-upmin.<br>Speed-upmax.<br>Speed-upaverage | 0.00021<br>36<br>2.54 | 0.003<br>10<br>1.76 | 0.00021<br>7.2<br>0.97 | 0.003<br>4.9<br>0.69 | 0.63<br>36<br>5.59 | 0.48<br>11<br>3.87 | | 1 |
| | Completeset | Smallmatrices | Largematrices | | | |
| --- | --- | --- | --- | --- | --- | --- |
| | Single | Double | Single | Double | Single | Double | | | 8<br>4<br>2 | 895542<br>1791084<br>3582168 | 934040<br>1808784<br>3585869 |
| --- | --- | --- |
| 8<br>4<br>2 | 3203546<br>6407091<br>7<br>1.2814·10 | 3219769<br>6427398<br>7<br>1.2827·10 |
| 8<br>4<br>2 | 8.928·10<br>9<br>1.7856·10<br>9<br>3.5712·10 | 8.9394·10<br>9<br>1.7871·10<br>9<br>3.573·10 |
| 8<br>4<br>2 | 1.2497·10<br>9<br>2.4995·10<br>9<br>4.9989·10 | 1.251·10<br>9<br>2.5005·10<br>9<br>4.9995·10 |
| 8 | 6.4582·10 | 6.4651·10 | | 0 |
| | Completeset | Smallmatrices | Largematrices | | | |
| --- | --- | --- | --- | --- | --- | --- |
| | Single | Double | Single | Double | Single | Double |
| CSRmin.<br>CSRmax.<br>CSRaverage | 0.16<br>1.4<br>0.88 | 0.1<br>1.3<br>0.83 | 0.1<br>1.4<br>0.84 | 0.1<br>1.3<br>0.83 | 0.19<br>1.2<br>0.82 | 0.19<br>1.2<br>0.82 | | | Hybridmin.<br>Hybridmax.<br>Hybridaverage. | 0.0009<br>16.0<br>2.56 | 0.0008<br>11.0<br>1.57 | 0.0009<br>8.9<br>1.07 | 0.0008<br>6.1<br>0.72 | 0.24<br>16.0<br>5.48 | 0.19<br>11.0<br>3.2 |
| --- | --- | --- | --- | --- | --- | --- |
| Speed-upmin.<br>Speed-upmax.<br>Speed-upaverage | 0.00021<br>36<br>2.54 | 0.003<br>10<br>1.76 | 0.00021<br>7.2<br>0.97 | 0.003<br>4.9<br>0.69 | 0.63<br>36<br>5.59 | 0.48<br>11<br>3.87 | | 1 |
| | Completeset | Smallmatrices | Largematrices | | | |
| --- | --- | --- | --- | --- | --- | --- |
| | Single | Double | Single | Double | Single | Double |
| CSRmin.<br>CSRmax.<br>CSRaverage | 0.16<br>1.4<br>0.88 | 0.1<br>1.3<br>0.83 | 0.1<br>1.4<br>0.84 | 0.1<br>1.3<br>0.83 | 0.19<br>1.2<br>0.82 | 0.19<br>1.2<br>0.82 | | | 8<br>4<br>2 | 1.2497·10<br>9<br>2.4995·10<br>9<br>4.9989·10 | 1.251·10<br>9<br>2.5005·10<br>9<br>4.9995·10 |
| --- | --- | --- |
| 8 | 6.4582·10 | 6.4651·10 | | 0 |
| | Enfragmo | EnfragmowithLUP | SpeedUpFactor | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Problem | Gnd | Solving | Total | Gnd | Solving | Total | Gnd | Solving | Total |
| LatinSquare | 0.89 | 1.39 | 2.28 | 3.27 | 0.34 | 3.61 | -2.38 | 1.05 | -1.33 |
| BST45 | 6.08 | 7.56 | 13.64 | 2 | 1.74 | 3.74 | 4.07 | 5.82 | 9.9 | | | BST35 | 2.13 | 2.14 | 4.27 | 1.07 | 0.46 | 1.53 | 1.06 | 1.68 | 2.74 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Sudoku | 0.46 | 1.12 | 1.59 | 2.08 | 0.26 | 2.34 | -1.62 | 0.86 | -0.76 | | 1 |
| | Enfragmo | EnfragmowithLUP | SpeedUpFactor | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Problem | Gnd | Solving | Total | Gnd | Solving | Total | Gnd | Solving | Total |
| LatinSquare | 0.89 | 1.39 | 2.28 | 3.27 | 0.34 | 3.61 | -2.38 | 1.05 | -1.33 |
| BST45 | 6.08 | 7.56 | 13.64 | 2 | 1.74 | 3.74 | 4.07 | 5.82 | 9.9 | | | | GradualandSharp | | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| Video | TP | FP | FN | P | R | F |
| BOR03 | 237 | 32 | 5 | 0.881 | 0.979 | 0.928 |
| BOR08 | 456 | 8 | 75 | 0.983 | 0.859 | 0.917 |
| BOR10 | 58 | 84 | 94 | 0.408 | 0.382 | 0.395 |
| BOR12 | 117 | 5 | 19 | 0.959 | 0.86 | 0.907 |
| BOR17 | 77 | 137 | 171 | 0.36 | 0.31 | 0.333 |
| Total | 945 | 266 | 364 | 0.78 | 0.722 | 0.75 | | 0 |
| | Enfragmo | EnfragmowithLUP | SpeedUpFactor | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Problem | Gnd | Solving | Total | Gnd | Solving | Total | Gnd | Solving | Total |
| LatinSquare | 0.89 | 1.39 | 2.28 | 3.27 | 0.34 | 3.61 | -2.38 | 1.05 | -1.33 | | | BST45 | 6.08 | 7.56 | 13.64 | 2 | 1.74 | 3.74 | 4.07 | 5.82 | 9.9 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| BST35 | 2.13 | 2.14 | 4.27 | 1.07 | 0.46 | 1.53 | 1.06 | 1.68 | 2.74 |
| Sudoku | 0.46 | 1.12 | 1.59 | 2.08 | 0.26 | 2.34 | -1.62 | 0.86 | -0.76 | | 1 |
| | Enfragmo | EnfragmowithLUP | SpeedUpFactor | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Problem | Gnd | Solving | Total | Gnd | Solving | Total | Gnd | Solving | Total |
| LatinSquare | 0.89 | 1.39 | 2.28 | 3.27 | 0.34 | 3.61 | -2.38 | 1.05 | -1.33 | | | BOR12 | 117 | 5 | 19 | 0.959 | 0.86 | 0.907 |
| --- | --- | --- | --- | --- | --- | --- |
| BOR17 | 77 | 137 | 171 | 0.36 | 0.31 | 0.333 |
| Total | 945 | 266 | 364 | 0.78 | 0.722 | 0.75 | | 0 |
| Dataset | Exogenous<br>Data | Target<br>Data | Size | | |
| --- | --- | --- | --- | --- | --- |
| Training | Validation | Test | | | |
| NASDAQ100Stock | 81 | 1 | 35,100 | 2,730 | 2,730 | | | AutonomousDriving | 6 | 4 | 99,700 | 2,500 | 3,000 |
| --- | --- | --- | --- | --- | --- |
| OdetoJoyVideoViews | 128 | 1 | 38,600 | 2,270 | 4,560 | | 1 |
| Dataset | Exogenous<br>Data | Target<br>Data | Size | | |
| --- | --- | --- | --- | --- | --- |
| Training | Validation | Test | | | |
| NASDAQ100Stock | 81 | 1 | 35,100 | 2,730 | 2,730 | | | TrainingData | TestData | |
| --- | --- | --- |
| ILSVRC2012Val | WebVisionVal | |
| 1K<br>D<br>ImageNet | 56.15 | 52.58 |
| WebVision | 47.55 | 57.03 |
| E<br>VT | 51.99 | 53.94 |
| 1K<br>*D<br>ImageNet | 60.36 | 54.99 |
| E* | 56.58 | 57.98 | | 0 |
| Dataset | Exogenous<br>Data | Target<br>Data | Size |
| --- | --- | --- | --- |
| Training | Validation | Test | | | | NASDAQ100Stock | 81 | 1 | 35,100 | 2,730 | 2,730 |
| --- | --- | --- | --- | --- | --- |
| AutonomousDriving | 6 | 4 | 99,700 | 2,500 | 3,000 |
| OdetoJoyVideoViews | 128 | 1 | 38,600 | 2,270 | 4,560 | | 1 |
| Dataset | Exogenous<br>Data | Target<br>Data | Size |
| --- | --- | --- | --- |
| Training | Validation | Test | | | | E<br>VT | 51.99 | 53.94 |
| --- | --- | --- |
| 1K<br>*D<br>ImageNet | 60.36 | 54.99 |
| E* | 56.58 | 57.98 | | 0 |
| | | GlobalKB | LocalKBs | |
| --- | --- | --- | --- | --- |
| Contexts | ClassesRolesIndiv. | TBoxRBoxABox | TBoxRBoxABox | Totalaxioms |
| 1<br>1<br>1<br>1<br>1 | 101020<br>5050100<br>100100200<br>5005001000<br>100010002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 70<br>350<br>700<br>3.500<br>7.000 |
| 5<br>5<br>5<br>5<br>5 | 101020<br>5050100<br>100100200<br>5005001000<br>100010002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 210<br>1.050<br>2.100<br>10.500<br>21.000 | | | 10<br>10<br>10<br>10<br>10 | 101020<br>5050100<br>100100200<br>5005001000<br>100010002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 385<br>1.925<br>3.850<br>19.250<br>38.500 |
| --- | --- | --- | --- | --- |
| 50<br>50<br>50<br>50<br>50 | 101020<br>5050100<br>100100200<br>5005001000<br>100010002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 1.785<br>8.925<br>17.850<br>89.250<br>178.500 |
| 100<br>100<br>100<br>100<br>100 | 101020<br>5050100<br>100100200<br>5005001000<br>100010002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 3.535<br>17.675<br>35.350<br>176.750<br>353.500 | | 1 |
| | | GlobalKB | LocalKBs | |
| --- | --- | --- | --- | --- |
| Contexts | ClassesRolesIndiv. | TBoxRBoxABox | TBoxRBoxABox | Totalaxioms |
| 1<br>1<br>1<br>1<br>1 | 101020<br>5050100<br>100100200<br>5005001000<br>100010002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 70<br>350<br>700<br>3.500<br>7.000 |
| 5<br>5<br>5<br>5<br>5 | 101020<br>5050100<br>100100200<br>5005001000<br>100010002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 210<br>1.050<br>2.100<br>10.500<br>21.000 | | | name | AB | FDCS | ABCS | FINDER | FMC | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| | #bcktr | #bcktr | #Tbcktr | #bcktr | #Tbcktr | #bcktr | #bcktr |
| oddeven<br>wickedoe | 4<br>64 | 0<br>0 | 0<br>0 | 0<br>0 | 0<br>0 | 1<br>8 | 3<br>52 |
| appendlast<br>reverselast<br>nreverselast<br>schedule | 43<br>30<br>190170<br>24 | 24<br>68<br>?<br>13 | 1<br>2<br>?<br>1 | 55<br>303<br>?<br>106 | 1<br>2<br>?<br>1 | 618<br>614<br>7<br>>5.10<br>37 | 110019<br>23445<br>?<br>497 |
| multiseto<br>multisetl | 10<br>3 | 7<br>6 | 0<br>1 | 30<br>21 | 0<br>1 | 0<br>12 | 104<br>469 |
| blockpair2o<br>blockpair3o<br>blockpair2l<br>blockpair3l<br>blocksol | 17<br>56<br>28<br>130<br>3615 | 25<br>25<br>3943<br>4009<br>1396146 | 0<br>0<br>2<br>2<br>385 | 49<br>51<br>2733<br>2737<br>1970544 | 0<br>0<br>2<br>2<br>169 | 262<br>879<br>68<br>366<br>4007523 | 5567<br>?<br>91404<br>?<br>? |
| BOO019-1 | 72 | 4 | 0 | 34 | 0 | 14 | 33 | | 0 |
| | | GlobalKB | LocalKBs | |
| --- | --- | --- | --- | --- |
| Contexts | ClassesRolesIndiv. | TBoxRBoxABox | TBoxRBoxABox | Totalaxioms |
| 1<br>1<br>1<br>1<br>1 | 101020<br>5050100<br>100100200<br>5005001000<br>100010002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 70<br>350<br>700<br>3.500<br>7.000 | | | 5<br>5<br>5<br>5<br>5 | 101020<br>5050100<br>100100200<br>5005001000<br>100010002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 210<br>1.050<br>2.100<br>10.500<br>21.000 |
| --- | --- | --- | --- | --- |
| 10<br>10<br>10<br>10<br>10 | 101020<br>5050100<br>100100200<br>5005001000<br>100010002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 385<br>1.925<br>3.850<br>19.250<br>38.500 |
| 50<br>50<br>50<br>50<br>50 | 101020<br>5050100<br>100100200<br>5005001000<br>100010002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 1.785<br>8.925<br>17.850<br>89.250<br>178.500 |
| 100<br>100<br>100<br>100<br>100 | 101020<br>5050100<br>100100200<br>5005001000<br>100010002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 3.535<br>17.675<br>35.350<br>176.750<br>353.500 | | 1 |
| | | GlobalKB | LocalKBs | |
| --- | --- | --- | --- | --- |
| Contexts | ClassesRolesIndiv. | TBoxRBoxABox | TBoxRBoxABox | Totalaxioms |
| 1<br>1<br>1<br>1<br>1 | 101020<br>5050100<br>100100200<br>5005001000<br>100010002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 70<br>350<br>700<br>3.500<br>7.000 | | | blockpair2o<br>blockpair3o<br>blockpair2l<br>blockpair3l<br>blocksol | 17<br>56<br>28<br>130<br>3615 | 25<br>25<br>3943<br>4009<br>1396146 | 0<br>0<br>2<br>2<br>385 | 49<br>51<br>2733<br>2737<br>1970544 | 0<br>0<br>2<br>2<br>169 | 262<br>879<br>68<br>366<br>4007523 | 5567<br>?<br>91404<br>?<br>? |
| --- | --- | --- | --- | --- | --- | --- | --- |
| BOO019-1 | 72 | 4 | 0 | 34 | 0 | 14 | 33 | | 0 |
| Dataset | GE-FL | NeutralFeatures | MaxEntropy | KLDivergence |
| --- | --- | --- | --- | --- |
| movie | 0.623 | 0.672 | 0.681 | 0.684 |
| sraa | 0.559 | 0.628 | 0.618 | 0.547 |
| webkb | 0.615 | 0.685 | 0.640 | 0.646 | | | med-space<br>ibm-mac<br>baseball-hockey<br>20newsgroups | 0.927<br>0.817<br>0.915<br>0.667 | 0.921<br>0.796<br>0.935<br>0.669 | 0.936<br>0.837<br>0.925<br>0.680 | 0.928<br>0.833<br>0.923<br>0.677 |
| --- | --- | --- | --- | --- |
| financial-healthcare<br>sector.top | 0.588<br>0.596 | 0.618<br>0.653 | 0.618<br>0.581 | 0.507<br>0.639 | | 1 |
| Dataset | GE-FL | NeutralFeatures | MaxEntropy | KLDivergence |
| --- | --- | --- | --- | --- |
| movie | 0.623 | 0.672 | 0.681 | 0.684 |
| sraa | 0.559 | 0.628 | 0.618 | 0.547 |
| webkb | 0.615 | 0.685 | 0.640 | 0.646 | | | Dataset | ModularityG1 | ModularityG2 | SVM | N-Bayes | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| mic | mac | mic | mac | mic | mac | mic | mac | mic | |
| 20Newsgroups | 78.70 | 77.12 | 82.19 | 82.78 | 82.84 | 83.60 | 81.03 | | 84.23 |
| Reuters-21578 | 91.23 | 76.25 | 92.77 | 81.19 | 96.98 | 91.50 | 96.07 | | 85.24 |
| WebKB4 | 80.66 | 78.92 | 85.24 | 84.74 | 89.68 | 88.39 | 83.52 | | 72.56 |
| TripAdvisor | 90.30 | 90.10 | 85.60 | 85.60 | | | | | | | 0 |
| Dataset | GE-FL | NeutralFeatures | MaxEntropy | KLDivergence |
| --- | --- | --- | --- | --- |
| movie | 0.623 | 0.672 | 0.681 | 0.684 |
| sraa | 0.559 | 0.628 | 0.618 | 0.547 | | | webkb | 0.615 | 0.685 | 0.640 | 0.646 |
| --- | --- | --- | --- | --- |
| med-space<br>ibm-mac<br>baseball-hockey<br>20newsgroups | 0.927<br>0.817<br>0.915<br>0.667 | 0.921<br>0.796<br>0.935<br>0.669 | 0.936<br>0.837<br>0.925<br>0.680 | 0.928<br>0.833<br>0.923<br>0.677 |
| financial-healthcare<br>sector.top | 0.588<br>0.596 | 0.618<br>0.653 | 0.618<br>0.581 | 0.507<br>0.639 | | 1 |
| Dataset | GE-FL | NeutralFeatures | MaxEntropy | KLDivergence |
| --- | --- | --- | --- | --- |
| movie | 0.623 | 0.672 | 0.681 | 0.684 |
| sraa | 0.559 | 0.628 | 0.618 | 0.547 | | | 20Newsgroups | 78.70 | 77.12 | 82.19 | 82.78 | 82.84 | 83.60 | 81.03 | | 84.23 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Reuters-21578 | 91.23 | 76.25 | 92.77 | 81.19 | 96.98 | 91.50 | 96.07 | | 85.24 |
| WebKB4 | 80.66 | 78.92 | 85.24 | 84.74 | 89.68 | 88.39 | 83.52 | | 72.56 |
| TripAdvisor | 90.30 | 90.10 | 85.60 | 85.60 | | | | | | | 0 |
| Euclideandistance | dvalueofdatalake | dvalueofDW |
| --- | --- | --- |
| Cluster1 | 0.64 | 0.76 | | | Cluster2 | 0.71 | 0.87 |
| --- | --- | --- |
| Cluster3 | 0.65 | 0.87 |
| Cluster4 | 0.88 | 0.99 | | 1 |
| Euclideandistance | dvalueofdatalake | dvalueofDW |
| --- | --- | --- |
| Cluster1 | 0.64 | 0.76 | | | | Cluster1(similar) | Cluster2(Non-similar) | Cluster3others |
| --- | --- | --- | --- |
| EuclideanMetric | 23 | 3 | 16 |
| Minkowski,p=3 | 81 | 7 | 17 |
| ManhattanMetric | 23 | 3 | 16 |
| HammingMetric | 23 | 3 | 16 |
| PQ-GramMetric | 15 | 15 | 12 |
| EditDistanceMetric | 16 | 15 | 11 | | 0 |
| Euclideandistance | dvalueofdatalake | dvalueofDW |
| --- | --- | --- |
| Cluster1 | 0.64 | 0.76 | | | Cluster2 | 0.71 | 0.87 |
| --- | --- | --- |
| Cluster3 | 0.65 | 0.87 |
| Cluster4 | 0.88 | 0.99 | | 1 |
| Euclideandistance | dvalueofdatalake | dvalueofDW |
| --- | --- | --- |
| Cluster1 | 0.64 | 0.76 | | | PQ-GramMetric | 15 | 15 | 12 |
| --- | --- | --- | --- |
| EditDistanceMetric | 16 | 15 | 11 | | 0 |
| Measure | WHdebarking | WHboarding | SGdebarking | SGboarding |
| --- | --- | --- | --- | --- |
| Passengers | 850 | 1400 | 1400 | 400 | | | Min | 54s | 77s | 33s | 56s |
| --- | --- | --- | --- | --- |
| Max(=total) | 232s(266s) | 375s(364s) | 400s(262s) | 119s(83s) |
| Avg | 149s | 204s | 214s | 83s |
| Var | 2,331 | 6,737 | 10,723 | 293 |
| SD | 48 | 82 | 104 | 17 |
| 75thperc. | 191s | 274s | 302s | 97s |
| 95thperc. | 222s | 332s | 378s | 110s | | 1 |
| Measure | WHdebarking | WHboarding | SGdebarking | SGboarding |
| --- | --- | --- | --- | --- |
| Passengers | 850 | 1400 | 1400 | 400 | | | Measure | WHdebarking | WHboarding | SGdebarking | SGboarding |
| --- | --- | --- | --- | --- |
| Passengers | 1800 | 1800 | 1800 | 1800 |
| Min | 48s | 62s | 33s | 62s |
| Max(=total) | 418s | 558s | 499s | 279s |
| Avg | 244s | 181s | 267s | 165s |
| Var | 10,061 | 10,376 | 17,460 | 4,107 |
| SD | 100 | 102 | 132 | 65 |
| 75thperc. | 330s | 221s | 381s | 220s |
| 95thperc. | 398s | 440s | 471s | 265s | | 0 |
| Measure | WHdebarking | WHboarding | SGdebarking | SGboarding |
| --- | --- | --- | --- | --- |
| Passengers | 850 | 1400 | 1400 | 400 | | | Min | 54s | 77s | 33s | 56s |
| --- | --- | --- | --- | --- |
| Max(=total) | 232s(266s) | 375s(364s) | 400s(262s) | 119s(83s) |
| Avg | 149s | 204s | 214s | 83s |
| Var | 2,331 | 6,737 | 10,723 | 293 |
| SD | 48 | 82 | 104 | 17 |
| 75thperc. | 191s | 274s | 302s | 97s |
| 95thperc. | 222s | 332s | 378s | 110s | | 1 |
| Measure | WHdebarking | WHboarding | SGdebarking | SGboarding |
| --- | --- | --- | --- | --- |
| Passengers | 850 | 1400 | 1400 | 400 | | | 75thperc. | 330s | 221s | 381s | 220s |
| --- | --- | --- | --- | --- |
| 95thperc. | 398s | 440s | 471s | 265s | | 0 |
| Methods | Dice | Precision | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Whole | Core | Enha. | Whole | Core | Enha. | Whole | Core | |
| Havaei | 0.84 | 0.71 | 0.57 | 0.88 | 0.79 | 0.54 | 0.84 | 0.72 | | | Pereira | 0.84 | 0.72 | 0.62 | 0.85 | 0.82 | 0.60 | 0.86 | 0.76 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| SegAN | 0.84 | 0.70 | 0.65 | 0.87 | 0.80 | 0.68 | 0.83 | 0.74 |
| Kamnitsas | 0.85 | 0.67 | 0.63 | 0.85 | 0.86 | 0.63 | 0.88 | 0.60 |
| U-net | 0.80 | 0.63 | 0.64 | 0.83 | 0.81 | 0.78 | 0.80 | 0.58 |
| SegAN | 0.85 | 0.70 | 0.66 | 0.92 | 0.80 | 0.69 | 0.80 | 0.65 | | 1 |
| Methods | Dice | Precision | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Whole | Core | Enha. | Whole | Core | Enha. | Whole | Core | |
| Havaei | 0.84 | 0.71 | 0.57 | 0.88 | 0.79 | 0.54 | 0.84 | 0.72 | | | Architectures | Accuracy | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | Neutral | Anger | Disgust | Fear | Happy | Sad | Surprise | Total |
| VGG-16 | 0.327 | 0.424 | 0.102 | 0.093 | 0.476 | 0.138 | 0.133 | 0.263 |
| VGG-16+RNN | 0.431 | 0.559 | 0.026 | 0.07 | 0.444 | 0.259 | 0.044 | 0.293 |
| ResNet | 0.31 | 0.153 | 0.077 | 0.023 | 0.534 | 0.207 | 0.067 | 0.211 |
| ResNet+RNN | 0.431 | 0.237 | 0.077 | 0.07 | 0.587 | 0.155 | 0.089 | 0.261 |
| VGG-Face+RNN | 0.552 | 0.593 | 0.026 | 0.047 | 0.794 | 0.259 | 0.111 | 0.384 |
| fine-tunedAffWildNet | 0.569 | 0.627 | 0.051 | 0.023 | 0.746 | 0.709 | 0.111 | 0.454 | | 0 |
| Methods | Dice | Precision | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Whole | Core | Enha. | Whole | Core | Enha. | Whole | Core | |
| Havaei | 0.84 | 0.71 | 0.57 | 0.88 | 0.79 | 0.54 | 0.84 | 0.72 |
| Pereira | 0.84 | 0.72 | 0.62 | 0.85 | 0.82 | 0.60 | 0.86 | 0.76 |
| SegAN | 0.84 | 0.70 | 0.65 | 0.87 | 0.80 | 0.68 | 0.83 | 0.74 | | | Kamnitsas | 0.85 | 0.67 | 0.63 | 0.85 | 0.86 | 0.63 | 0.88 | 0.60 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| U-net | 0.80 | 0.63 | 0.64 | 0.83 | 0.81 | 0.78 | 0.80 | 0.58 |
| SegAN | 0.85 | 0.70 | 0.66 | 0.92 | 0.80 | 0.69 | 0.80 | 0.65 | | 1 |
| Methods | Dice | Precision | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Whole | Core | Enha. | Whole | Core | Enha. | Whole | Core | |
| Havaei | 0.84 | 0.71 | 0.57 | 0.88 | 0.79 | 0.54 | 0.84 | 0.72 |
| Pereira | 0.84 | 0.72 | 0.62 | 0.85 | 0.82 | 0.60 | 0.86 | 0.76 |
| SegAN | 0.84 | 0.70 | 0.65 | 0.87 | 0.80 | 0.68 | 0.83 | 0.74 | | | VGG-Face+RNN | 0.552 | 0.593 | 0.026 | 0.047 | 0.794 | 0.259 | 0.111 | 0.384 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| fine-tunedAffWildNet | 0.569 | 0.627 | 0.051 | 0.023 | 0.746 | 0.709 | 0.111 | 0.454 | | 0 |
| | Precision | Recall | F-Score |
| --- | --- | --- | --- |
| Wuetal., | 0.60 | 0.59 | 0.60 |
| Yaoetal., | - | - | 0.56 |
| Pfisteretal., | 0.61 | 0.62 | 0.62 |
| Fernandoetal., | 0.75 | 0.75 | 0.75 | | | Ours(linearcomb.) | 0.61 | 0.62 | 0.62 |
| --- | --- | --- | --- |
| Ours(probabilisticcomb.) | 0.63 | 0.63 | 0.63 | | 1 |
| | Precision | Recall | F-Score |
| --- | --- | --- | --- |
| Wuetal., | 0.60 | 0.59 | 0.60 |
| Yaoetal., | - | - | 0.56 |
| Pfisteretal., | 0.61 | 0.62 | 0.62 |
| Fernandoetal., | 0.75 | 0.75 | 0.75 | | | Algorithm | Precision | Recall | F-measure |
| --- | --- | --- | --- |
| Proposed | 0.77 | 0.70 | 0.74 |
| Zhangetal. | 0.83 | 0.67 | 0.74 |
| Yinetal. | 0.81 | 0.63 | 0.71 |
| Kangetal. | 0.71 | 0.62 | 0.66 |
| Yaoetal. | 0.63 | 0.63 | 0.60 | | 0 |
| | Precision | Recall | F-Score |
| --- | --- | --- | --- |
| Wuetal., | 0.60 | 0.59 | 0.60 |
| Yaoetal., | - | - | 0.56 |
| Pfisteretal., | 0.61 | 0.62 | 0.62 |
| Fernandoetal., | 0.75 | 0.75 | 0.75 | | | Ours(linearcomb.) | 0.61 | 0.62 | 0.62 |
| --- | --- | --- | --- |
| Ours(probabilisticcomb.) | 0.63 | 0.63 | 0.63 | | 1 |
| | Precision | Recall | F-Score |
| --- | --- | --- | --- |
| Wuetal., | 0.60 | 0.59 | 0.60 |
| Yaoetal., | - | - | 0.56 |
| Pfisteretal., | 0.61 | 0.62 | 0.62 |
| Fernandoetal., | 0.75 | 0.75 | 0.75 | | | Kangetal. | 0.71 | 0.62 | 0.66 |
| --- | --- | --- | --- |
| Yaoetal. | 0.63 | 0.63 | 0.60 | | 0 |
| Rank | Code | Name | Example | Count | KW | MW |
| --- | --- | --- | --- | --- | --- | --- |
| 1 | TV | VerbTense | IhopeIgivehavegivenyouenoughdetails | 3324 | ** | 34 |
| 2 | RT | ReplacePreposition | oninJuly | 3311 | ** | 31 |
| 3 | MD | MissingDeterminer | Iwentfortheinterview | 2967 | ** | 57 | | | 4 | FV | WrongVerbForm | hadtimetoplayedplay | 1789 | ** | 21 |
| --- | --- | --- | --- | --- | --- | --- |
| 5 | W | WordOrder | Probablyourhomeswillprobablybe | 1534 | ** | 34 |
| 6 | MT | MissingPreposition | explaintoyou | 1435 | ** | 22 |
| 7 | UD | UnnecessaryDeterminer | acourseattheCornellUniversity | 1321 | | |
| 8 | UT | UnnecessaryPreposition | weneeditoneachminute | 1079 | | |
| 9 | MA | MissingPronoun | becauseitisthebestconference | 984 | ** | 33 |
| 10 | AGV | VerbAgreement | theteacherswaswereveryexperienced | 916 | ** | 21 |
| 11 | FN | WrongFormNoun | becauseofmystudystudies | 884 | ** | 24 |
| 12 | RA | ReplacePronoun | shejustmetSally,whichwho | 847 | ** | 17 |
| 13 | AGN | NounAgreement | twomonthmonthsago | 816 | ** | 24 |
| 14 | RD | ReplaceDeterminer | ofathelastfewyears | 676 | ** | 35 |
| 15 | DJ | WronglyDerivedAdjective | Themotherwasprideproud | 608 | * | 8 |
| 16 | DN | WronglyDerivedNoun | workingplaceworkplace | 536 | | |
| 17 | DY | WronglyDerivedAdverb | EspecialEspecially | 414 | ** | 14 |
| 18 | UA | UnnecessaryPronoun | feelourselvescomfortable | 391 | * | 9 |
| 19 | MC | MissingConjunction | reading,andplayingpianoathome | 346 | * | 11 |
| 20 | RC | ReplaceConjunction | notjustthecar,andbutalsothetrain | 226 | | | | 1 |
| Rank | Code | Name | Example | Count | KW | MW |
| --- | --- | --- | --- | --- | --- | --- |
| 1 | TV | VerbTense | IhopeIgivehavegivenyouenoughdetails | 3324 | ** | 34 |
| 2 | RT | ReplacePreposition | oninJuly | 3311 | ** | 31 |
| 3 | MD | MissingDeterminer | Iwentfortheinterview | 2967 | ** | 57 | | | # | Features | Description |
| --- | --- | --- |
| 1 | TF | Termfrequencyofwintheshorttext |
| 2 | IDF | Inversedocumentfrequencyofwinthewholecollection |
| 3 | SF | Numberofsentencesintheshorttextthatcontainw |
| 4 | First | Whetherwexistsinthefirstsentence |
| 5 | Last | Whetherwexistsinthelastsentence |
| 6 | NE | Whetherwisanamedentity(NE) |
| 7 | NEFirst | WhetherwisNEinthefirstsentence |
| 8 | NELast | WhetherwisNEinthelastsentence |
| 9 | POS | Partofspeechofw | | 0 |
| Rank | Code | Name | Example | Count | KW | MW |
| --- | --- | --- | --- | --- | --- | --- |
| 1 | TV | VerbTense | IhopeIgivehavegivenyouenoughdetails | 3324 | ** | 34 |
| 2 | RT | ReplacePreposition | oninJuly | 3311 | ** | 31 |
| 3 | MD | MissingDeterminer | Iwentfortheinterview | 2967 | ** | 57 | | | 4 | FV | WrongVerbForm | hadtimetoplayedplay | 1789 | ** | 21 |
| --- | --- | --- | --- | --- | --- | --- |
| 5 | W | WordOrder | Probablyourhomeswillprobablybe | 1534 | ** | 34 |
| 6 | MT | MissingPreposition | explaintoyou | 1435 | ** | 22 |
| 7 | UD | UnnecessaryDeterminer | acourseattheCornellUniversity | 1321 | | |
| 8 | UT | UnnecessaryPreposition | weneeditoneachminute | 1079 | | |
| 9 | MA | MissingPronoun | becauseitisthebestconference | 984 | ** | 33 |
| 10 | AGV | VerbAgreement | theteacherswaswereveryexperienced | 916 | ** | 21 |
| 11 | FN | WrongFormNoun | becauseofmystudystudies | 884 | ** | 24 |
| 12 | RA | ReplacePronoun | shejustmetSally,whichwho | 847 | ** | 17 |
| 13 | AGN | NounAgreement | twomonthmonthsago | 816 | ** | 24 |
| 14 | RD | ReplaceDeterminer | ofathelastfewyears | 676 | ** | 35 |
| 15 | DJ | WronglyDerivedAdjective | Themotherwasprideproud | 608 | * | 8 |
| 16 | DN | WronglyDerivedNoun | workingplaceworkplace | 536 | | |
| 17 | DY | WronglyDerivedAdverb | EspecialEspecially | 414 | ** | 14 |
| 18 | UA | UnnecessaryPronoun | feelourselvescomfortable | 391 | * | 9 |
| 19 | MC | MissingConjunction | reading,andplayingpianoathome | 346 | * | 11 |
| 20 | RC | ReplaceConjunction | notjustthecar,andbutalsothetrain | 226 | | | | 1 |
| Rank | Code | Name | Example | Count | KW | MW |
| --- | --- | --- | --- | --- | --- | --- |
| 1 | TV | VerbTense | IhopeIgivehavegivenyouenoughdetails | 3324 | ** | 34 |
| 2 | RT | ReplacePreposition | oninJuly | 3311 | ** | 31 |
| 3 | MD | MissingDeterminer | Iwentfortheinterview | 2967 | ** | 57 | | | 6 | NE | Whetherwisanamedentity(NE) |
| --- | --- | --- |
| 7 | NEFirst | WhetherwisNEinthefirstsentence |
| 8 | NELast | WhetherwisNEinthelastsentence |
| 9 | POS | Partofspeechofw | | 0 |
| TheNumberofAction | 9 | 121 | 961 | 2601 |
| --- | --- | --- | --- | --- |
| Sparse+SparseBellman-1 | 9193 | 9648 | 7275 | 9065 | | | Sparse+SparseBellman-0.1 | 9791 | 5837 | 5779 | 6851 |
| --- | --- | --- | --- | --- |
| Sparse+SparseBellman-0.01 | 9783 | 6456 | 6631 | 7941 |
| Sparse+SoftBellman-1 | 9126 | 9834 | 7603 | 8503 |
| Sparse+SoftBellman-0.1 | 9779 | 5449 | 5642 | 7509 |
| Sparse+SoftBellman-0.01 | 9795 | 5011 | 7260 | 7768 |
| Sparse+Bellman-1 | 9073 | 9619 | 5646 | 8371 |
| Sparse+Bellman-0.1 | 9756 | 5366 | 5338 | 6936 |
| Sparse+Bellman-0.01 | 9797 | 5204 | 6525 | 7965 |
| Soft+SparseBellman-1 | 10000 | 10000 | 10000 | 10000 |
| Soft+SparseBellman-0.1 | 8801 | 9998 | 10000 | 10000 |
| Soft+SparseBellman-0.01 | 9783 | 4988 | 5934 | 8774 |
| Soft+SoftBellman-1 | 10000 | 10000 | 10000 | 10000 |
| Soft+SoftBellman-0.1 | 8810 | 9999 | 10000 | 10000 |
| Soft+SoftBellman-0.01 | 9794 | 4597 | 5927 | 7915 |
| Soft+Bellman-1 | 10000 | 10000 | 10000 | 10000 |
| Soft+Bellman-0.1 | 8700 | 9999 | 10000 | 10000 |
| Soft+Bellman-0.01 | 9790 | 4810 | 6004 | 8737 |
| EpsGrdy+SparseBellman-1 | 9861 | 6909 | 6994 | 7977 |
| EpsGrdy+SparseBellman-0.1 | 9850 | 6808 | 6775 | 7873 |
| EpsGrdy+SparseBellman-0.01 | 9847 | 7079 | 6850 | 7923 |
| EpsGrdy+SoftBellman-1 | 9850 | 6839 | 6858 | 8026 |
| EpsGrdy+SoftBellman-0.1 | 9844 | 6918 | 6752 | 7849 |
| EpsGrdy+SoftBellman-0.01 | 9841 | 7176 | 9803 | 8114 |
| EpsGrdy+Bellman | 9842 | 6797 | 6933 | 8001 |
| EpsGrdy+Bellman | 9846 | 6680 | 7051 | 7845 |
| EpsGrdy+Bellman | 9864 | 7192 | 6928 | 7925 | | 1 |
| TheNumberofAction | 9 | 121 | 961 | 2601 |
| --- | --- | --- | --- | --- |
| Sparse+SparseBellman-1 | 9193 | 9648 | 7275 | 9065 | | | TheNumberofAction | 3 | 101 | 1001 | 2001 |
| --- | --- | --- | --- | --- |
| Sparse+SparseBellman-1 | 1164 | 692 | 742 | 864 |
| Sparse+SparseBellman-0.1 | 1060 | 2923 | 3998 | 599 |
| Sparse+SparseBellman-0.01 | 685 | 1431 | 1010 | 811 |
| Sparse+SoftBellman-1 | 863 | 1316 | 1698 | 657 |
| Sparse+SoftBellman-0.1 | 914 | 901 | 857 | 802 |
| Sparse+SoftBellman-0.01 | 3342 | 907 | 3930 | 522 |
| Sparse+Bellman-1 | 879 | 668 | 2337 | 3137 |
| Sparse+Bellman-0.1 | 937 | 3925 | 773 | 1030 |
| Sparse+Bellman-0.01 | 999 | 329 | 962 | 962 |
| Soft+SparseBellman-1 | 3789 | 3416 | 3996 | 2684 |
| Soft+SparseBellman-0.1 | 3844 | 2835 | 1494 | 2771 |
| Soft+SparseBellman-0.01 | 854 | 545 | 3814 | 999 |
| Soft+SoftBellman-1 | 1885 | 3666 | 3994 | 3912 |
| Soft+SoftBellman-0.1 | 869 | 780 | 787 | 3871 |
| Soft+SoftBellman-0.01 | 533 | 1241 | 2565 | 3020 |
| Soft+Bellman-1 | 3898 | 3947 | 3978 | 3758 |
| Soft+Bellman-0.1 | 876 | 1923 | 954 | 807 |
| Soft+Bellman-0.01 | 1419 | 689 | 755 | 1265 |
| EpsGrdy+SparseBellman-1 | 3978 | 3993 | 4000 | 3863 |
| EpsGrdy+SparseBellman-0.1 | 3895 | 2449 | 4000 | 3910 |
| EpsGrdy+SparseBellman-0.01 | 3437 | 4000 | 3962 | 3777 |
| EpsGrdy+SoftBellman-1 | 2959 | 3919 | 3715 | 4000 |
| EpsGrdy+SoftBellman-0.1 | 3997 | 3969 | 3037 | 2509 |
| EpsGrdy+SoftBellman-0.01 | 3976 | 3936 | 3785 | 3784 |
| EpsGrdy+Bellman-1 | 4000 | 2603 | 1093 | 3969 |
| EpsGrdy+Bellman-0.1 | 2584 | 3897 | 3160 | 3846 |
| EpsGrdy+Bellman-0.01 | 3891 | 3699 | 3905 | 3993 | | 0 |
| TheNumberofAction | 9 | 121 | 961 | 2601 |
| --- | --- | --- | --- | --- |
| Sparse+SparseBellman-1 | 9193 | 9648 | 7275 | 9065 |
| Sparse+SparseBellman-0.1 | 9791 | 5837 | 5779 | 6851 |
| Sparse+SparseBellman-0.01 | 9783 | 6456 | 6631 | 7941 |
| Sparse+SoftBellman-1 | 9126 | 9834 | 7603 | 8503 |
| Sparse+SoftBellman-0.1 | 9779 | 5449 | 5642 | 7509 |
| Sparse+SoftBellman-0.01 | 9795 | 5011 | 7260 | 7768 |
| Sparse+Bellman-1 | 9073 | 9619 | 5646 | 8371 |
| Sparse+Bellman-0.1 | 9756 | 5366 | 5338 | 6936 |
| Sparse+Bellman-0.01 | 9797 | 5204 | 6525 | 7965 |
| Soft+SparseBellman-1 | 10000 | 10000 | 10000 | 10000 |
| Soft+SparseBellman-0.1 | 8801 | 9998 | 10000 | 10000 |
| Soft+SparseBellman-0.01 | 9783 | 4988 | 5934 | 8774 |
| Soft+SoftBellman-1 | 10000 | 10000 | 10000 | 10000 |
| Soft+SoftBellman-0.1 | 8810 | 9999 | 10000 | 10000 |
| Soft+SoftBellman-0.01 | 9794 | 4597 | 5927 | 7915 |
| Soft+Bellman-1 | 10000 | 10000 | 10000 | 10000 |
| Soft+Bellman-0.1 | 8700 | 9999 | 10000 | 10000 |
| Soft+Bellman-0.01 | 9790 | 4810 | 6004 | 8737 |
| EpsGrdy+SparseBellman-1 | 9861 | 6909 | 6994 | 7977 |
| EpsGrdy+SparseBellman-0.1 | 9850 | 6808 | 6775 | 7873 |
| EpsGrdy+SparseBellman-0.01 | 9847 | 7079 | 6850 | 7923 |
| EpsGrdy+SoftBellman-1 | 9850 | 6839 | 6858 | 8026 | | | EpsGrdy+SoftBellman-0.1 | 9844 | 6918 | 6752 | 7849 |
| --- | --- | --- | --- | --- |
| EpsGrdy+SoftBellman-0.01 | 9841 | 7176 | 9803 | 8114 |
| EpsGrdy+Bellman | 9842 | 6797 | 6933 | 8001 |
| EpsGrdy+Bellman | 9846 | 6680 | 7051 | 7845 |
| EpsGrdy+Bellman | 9864 | 7192 | 6928 | 7925 | | 1 |
| TheNumberofAction | 9 | 121 | 961 | 2601 |
| --- | --- | --- | --- | --- |
| Sparse+SparseBellman-1 | 9193 | 9648 | 7275 | 9065 |
| Sparse+SparseBellman-0.1 | 9791 | 5837 | 5779 | 6851 |
| Sparse+SparseBellman-0.01 | 9783 | 6456 | 6631 | 7941 |
| Sparse+SoftBellman-1 | 9126 | 9834 | 7603 | 8503 |
| Sparse+SoftBellman-0.1 | 9779 | 5449 | 5642 | 7509 |
| Sparse+SoftBellman-0.01 | 9795 | 5011 | 7260 | 7768 |
| Sparse+Bellman-1 | 9073 | 9619 | 5646 | 8371 |
| Sparse+Bellman-0.1 | 9756 | 5366 | 5338 | 6936 |
| Sparse+Bellman-0.01 | 9797 | 5204 | 6525 | 7965 |
| Soft+SparseBellman-1 | 10000 | 10000 | 10000 | 10000 |
| Soft+SparseBellman-0.1 | 8801 | 9998 | 10000 | 10000 |
| Soft+SparseBellman-0.01 | 9783 | 4988 | 5934 | 8774 |
| Soft+SoftBellman-1 | 10000 | 10000 | 10000 | 10000 |
| Soft+SoftBellman-0.1 | 8810 | 9999 | 10000 | 10000 |
| Soft+SoftBellman-0.01 | 9794 | 4597 | 5927 | 7915 |
| Soft+Bellman-1 | 10000 | 10000 | 10000 | 10000 |
| Soft+Bellman-0.1 | 8700 | 9999 | 10000 | 10000 |
| Soft+Bellman-0.01 | 9790 | 4810 | 6004 | 8737 |
| EpsGrdy+SparseBellman-1 | 9861 | 6909 | 6994 | 7977 |
| EpsGrdy+SparseBellman-0.1 | 9850 | 6808 | 6775 | 7873 |
| EpsGrdy+SparseBellman-0.01 | 9847 | 7079 | 6850 | 7923 |
| EpsGrdy+SoftBellman-1 | 9850 | 6839 | 6858 | 8026 | | | Soft+Bellman-1 | 3898 | 3947 | 3978 | 3758 |
| --- | --- | --- | --- | --- |
| Soft+Bellman-0.1 | 876 | 1923 | 954 | 807 |
| Soft+Bellman-0.01 | 1419 | 689 | 755 | 1265 |
| EpsGrdy+SparseBellman-1 | 3978 | 3993 | 4000 | 3863 |
| EpsGrdy+SparseBellman-0.1 | 3895 | 2449 | 4000 | 3910 |
| EpsGrdy+SparseBellman-0.01 | 3437 | 4000 | 3962 | 3777 |
| EpsGrdy+SoftBellman-1 | 2959 | 3919 | 3715 | 4000 |
| EpsGrdy+SoftBellman-0.1 | 3997 | 3969 | 3037 | 2509 |
| EpsGrdy+SoftBellman-0.01 | 3976 | 3936 | 3785 | 3784 |
| EpsGrdy+Bellman-1 | 4000 | 2603 | 1093 | 3969 |
| EpsGrdy+Bellman-0.1 | 2584 | 3897 | 3160 | 3846 |
| EpsGrdy+Bellman-0.01 | 3891 | 3699 | 3905 | 3993 | | 0 |
| | HKU-IS | ECSSD | PASCAL-S |
| --- | --- | --- | --- |
| RGB | 0.6832 | 0.7018 | 0.5261 | | | RGB+dist | 0.7228 | 0.7445 | 0.5611 |
| --- | --- | --- | --- |
| RGB+coord | 0.7213 | 0.7342 | 0.5507 |
| RGB+dist+coord | 0.7155 | 0.7344 | 0.5528 | | 1 |
| | HKU-IS | ECSSD | PASCAL-S |
| --- | --- | --- | --- |
| RGB | 0.6832 | 0.7018 | 0.5261 | | | | HKU-IS | ECSSD | PASCAL-S |
| --- | --- | --- | --- |
| RGB | 0.7061 | 0.7240 | 0.5406 |
| RGB+dist | 0.7266 | 0.7493 | 0.5619 |
| RGB+coord | 0.7235 | 0.7368 | 0.5517 |
| RGB+dist+coord | 0.7167 | 0.7352 | 0.5541 | | 0 |
| | HKU-IS | ECSSD | PASCAL-S |
| --- | --- | --- | --- |
| RGB | 0.6832 | 0.7018 | 0.5261 |
| RGB+dist | 0.7228 | 0.7445 | 0.5611 | | | RGB+coord | 0.7213 | 0.7342 | 0.5507 |
| --- | --- | --- | --- |
| RGB+dist+coord | 0.7155 | 0.7344 | 0.5528 | | 1 |
| | HKU-IS | ECSSD | PASCAL-S |
| --- | --- | --- | --- |
| RGB | 0.6832 | 0.7018 | 0.5261 |
| RGB+dist | 0.7228 | 0.7445 | 0.5611 | | | RGB+coord | 0.7235 | 0.7368 | 0.5517 |
| --- | --- | --- | --- |
| RGB+dist+coord | 0.7167 | 0.7352 | 0.5541 | | 0 |
| Name | Type | \|V\| | \|E\| | Indexingtime(original) | Indexsize(original) |
| --- | --- | --- | --- | --- | --- |
| Facebook | Social | 334 | 2218 | 13.7ms | 178.6KB |
| Last.fm | Social | 1892 | 12717 | 125.3ms | 1.3MB |
| GrQc | Social | 5242 | 14496 | 152.9ms | 2.7MB | | | HepTh | Social | 9877 | 25998 | 631.2ms | 7.8MB |
| --- | --- | --- | --- | --- | --- |
| CondMat | Social | 23133 | 186936 | 3.2s | 26.4MB |
| NotreDame | Web | 325729 | 1497134 | 52.3s | 617.7MB | | 1 |
| Name | Type | \|V\| | \|E\| | Indexingtime(original) | Indexsize(original) |
| --- | --- | --- | --- | --- | --- |
| Facebook | Social | 334 | 2218 | 13.7ms | 178.6KB |
| Last.fm | Social | 1892 | 12717 | 125.3ms | 1.3MB |
| GrQc | Social | 5242 | 14496 | 152.9ms | 2.7MB | | | DataSet | RealNetwork | RD | SW | SF | HK |
| --- | --- | --- | --- | --- | --- |
| | HighestDegreeofaNode | | | | |
| Blog | 351 | 46 | 47 | 211 | 321 |
| Twitter | 237 | 27 | 27 | 253 | 319 |
| Epinions | 1192 | 77 | 72 | 373 | 560 |
| Author | 102 | 15 | 16 | 201 | 183 |
| | ClusteringCoefficient | | | | |
| Blog | 0.32 | 0.02 | 0.56 | 0.07 | 0.24 |
| Twitter | 0.13 | 0.005 | 0.49 | 0.03 | 0.27 |
| Epinions | 0.27 | 0.02 | 0.58 | 0.08 | 0.22 |
| Author | 0.53 | 0.001 | 0.31 | 0.01 | 0.42 |
| | AveragePathLength | | | | |
| Blog | 2.7 | 2.5 | 3.2 | 2.4 | 2.2 |
| Twitter | 3.4 | 3.2 | 4.2 | 2.9 | 2.8 |
| Epinions | 2.2 | 2.2 | 3.0 | 2.2 | 2.0 |
| Author | 5.31 | 5.07 | 6.41 | 3.4 | 4.0 |
| | | | | | | | 0 |
| Name | Type | \|V\| | \|E\| | Indexingtime(original) | Indexsize(original) |
| --- | --- | --- | --- | --- | --- |
| Facebook | Social | 334 | 2218 | 13.7ms | 178.6KB |
| Last.fm | Social | 1892 | 12717 | 125.3ms | 1.3MB |
| GrQc | Social | 5242 | 14496 | 152.9ms | 2.7MB |
| HepTh | Social | 9877 | 25998 | 631.2ms | 7.8MB | | | CondMat | Social | 23133 | 186936 | 3.2s | 26.4MB |
| --- | --- | --- | --- | --- | --- |
| NotreDame | Web | 325729 | 1497134 | 52.3s | 617.7MB | | 1 |
| Name | Type | \|V\| | \|E\| | Indexingtime(original) | Indexsize(original) |
| --- | --- | --- | --- | --- | --- |
| Facebook | Social | 334 | 2218 | 13.7ms | 178.6KB |
| Last.fm | Social | 1892 | 12717 | 125.3ms | 1.3MB |
| GrQc | Social | 5242 | 14496 | 152.9ms | 2.7MB |
| HepTh | Social | 9877 | 25998 | 631.2ms | 7.8MB | | | Epinions | 1192 | 77 | 72 | 373 | 560 |
| --- | --- | --- | --- | --- | --- |
| Author | 102 | 15 | 16 | 201 | 183 |
| | ClusteringCoefficient | | | | |
| Blog | 0.32 | 0.02 | 0.56 | 0.07 | 0.24 |
| Twitter | 0.13 | 0.005 | 0.49 | 0.03 | 0.27 |
| Epinions | 0.27 | 0.02 | 0.58 | 0.08 | 0.22 |
| Author | 0.53 | 0.001 | 0.31 | 0.01 | 0.42 |
| | AveragePathLength | | | | |
| Blog | 2.7 | 2.5 | 3.2 | 2.4 | 2.2 |
| Twitter | 3.4 | 3.2 | 4.2 | 2.9 | 2.8 |
| Epinions | 2.2 | 2.2 | 3.0 | 2.2 | 2.0 |
| Author | 5.31 | 5.07 | 6.41 | 3.4 | 4.0 |
| | | | | | | | 0 |
| Model | BLEU | METEOR | Emb.Greedy |
| --- | --- | --- | --- |
| Baseline | 31.36 | 33.12 | 74.02 |
| SPTriples | 33.27 | 35.07 | 76.72 |
| MPTriples | 32.76 | 34.97 | 76.70 | | | SPTriplesTransE++ | 33.32 | 35.38 | 76.78 |
| --- | --- | --- | --- |
| MPTriplesTransE++ | 33.28 | 35.29 | 77.01 | | 1 |
| Model | BLEU | METEOR | Emb.Greedy |
| --- | --- | --- | --- |
| Baseline | 31.36 | 33.12 | 74.02 |
| SPTriples | 33.27 | 35.07 | 76.72 |
| MPTriples | 32.76 | 34.97 | 76.70 | | | Model | BLEU-1 | BLEU-2 | BLEU-3 | BLEU-4 | METEOR | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| c5 | c40 | c5 | c40 | c5 | c40 | c5 | c40 | c5 | c40 | c5 | |
| SCN-LSTM | 0.740 | 0.917 | 0.575 | 0.839 | 0.436 | 0.739 | 0.331 | 0.631 | 0.257 | 0.348 | 0.543 |
| ATT | 0.731 | 0.900 | 0.565 | 0.815 | 0.424 | 0.709 | 0.316 | 0.599 | 0.250 | 0.335 | 0.535 |
| OV | 0.713 | 0.895 | 0.542 | 0.802 | 0.407 | 0.694 | 0.309 | 0.587 | 0.254 | 0.346 | 0.530 |
| MSRCap | 0.715 | 0.907 | 0.543 | 0.819 | 0.407 | 0.710 | 0.308 | 0.601 | 0.248 | 0.339 | 0.526 | | 0 |
| Model | BLEU | METEOR | Emb.Greedy |
| --- | --- | --- | --- |
| Baseline | 31.36 | 33.12 | 74.02 | | | SPTriples | 33.27 | 35.07 | 76.72 |
| --- | --- | --- | --- |
| MPTriples | 32.76 | 34.97 | 76.70 |
| SPTriplesTransE++ | 33.32 | 35.38 | 76.78 |
| MPTriplesTransE++ | 33.28 | 35.29 | 77.01 | | 1 |
| Model | BLEU | METEOR | Emb.Greedy |
| --- | --- | --- | --- |
| Baseline | 31.36 | 33.12 | 74.02 | | | SCN-LSTM | 0.740 | 0.917 | 0.575 | 0.839 | 0.436 | 0.739 | 0.331 | 0.631 | 0.257 | 0.348 | 0.543 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| ATT | 0.731 | 0.900 | 0.565 | 0.815 | 0.424 | 0.709 | 0.316 | 0.599 | 0.250 | 0.335 | 0.535 |
| OV | 0.713 | 0.895 | 0.542 | 0.802 | 0.407 | 0.694 | 0.309 | 0.587 | 0.254 | 0.346 | 0.530 |
| MSRCap | 0.715 | 0.907 | 0.543 | 0.819 | 0.407 | 0.710 | 0.308 | 0.601 | 0.248 | 0.339 | 0.526 | | 0 |
| Benchmark | #Agents<br>1281632 | | | | |
| --- | --- | --- | --- | --- | --- |
| 9Costas | 412.579 | 210.228(1.96) | 52.686(7.83) | 26.547(15.54) | 14.075(29.31) |
| Knight | 159.950 | 81.615(1.95) | 20.754(7.7) | 10.939(14.62) | 8.248(19.39) |
| Stable | 62.638 | 35.299(1.77) | 9.117(6.87) | 4.844(12.93) | 3.315(18.89) |
| SendMore | 61.817 | 32.953(1.87) | 8.931(6.92) | 4.923(12.55) | 3.916(15.78) |
| 8Costas | 38.681 | 19.746(1.95) | 5.052(7.65) | 2.733(14.15) | 1.753(22.06) |
| 8Puzzle | 27.810 | 15.387(1.8) | 10.522(2.64) | 3.128(8.89) | 5.940(4.68)) |
| Bart | 13.619 | 7.958(1.71) | 2.031(6.7) | 1.600(8.51) | 0.811(16.79) |
| Solitaire | 5.909 | 3.538(1.67) | 1.003(5.89) | 0.628(9.4) | 0.535(11.04) | | | 10Queens | 4.572 | 2.418(1.89) | 0.821(5.56) | 1.043(4.38) | 0.905(5.05) |
| --- | --- | --- | --- | --- | --- |
| Hamilton | 3.175 | 1.807(1.75) | 0.610(5.2) | 0.458(6.93) | 0.486(6.53) |
| MapColoring | 1.113 | 0.702(1.58) | 0.319(3.48) | 0.318(3.5) | 0.348(3.19) |
| 8Queens | 0.185 | 0.162(1.14) | 0.208(0.88) | 0.169(1.09) | 0.180(1.02) | | 1 |
| Benchmark | #Agents<br>1281632 | | | | |
| --- | --- | --- | --- | --- | --- |
| 9Costas | 412.579 | 210.228(1.96) | 52.686(7.83) | 26.547(15.54) | 14.075(29.31) |
| Knight | 159.950 | 81.615(1.95) | 20.754(7.7) | 10.939(14.62) | 8.248(19.39) |
| Stable | 62.638 | 35.299(1.77) | 9.117(6.87) | 4.844(12.93) | 3.315(18.89) |
| SendMore | 61.817 | 32.953(1.87) | 8.931(6.92) | 4.923(12.55) | 3.916(15.78) |
| 8Costas | 38.681 | 19.746(1.95) | 5.052(7.65) | 2.733(14.15) | 1.753(22.06) |
| 8Puzzle | 27.810 | 15.387(1.8) | 10.522(2.64) | 3.128(8.89) | 5.940(4.68)) |
| Bart | 13.619 | 7.958(1.71) | 2.031(6.7) | 1.600(8.51) | 0.811(16.79) |
| Solitaire | 5.909 | 3.538(1.67) | 1.003(5.89) | 0.628(9.4) | 0.535(11.04) | | | Benchmark | #Agents<br>124814 | | | | |
| --- | --- | --- | --- | --- | --- |
| 9-Costas | 715.963 | 366.385(1.95) | 182.654(3.91) | 93.602(7.64) | 52.901(13.53) |
| Stable | 614.582 | 374.259(1.64) | 184.404(3.33) | 93.884(6.54) | 54.022(11.37) |
| Knight | 276.849 | 141.118(1.96) | 70.568(3.92) | 35.741(7.74) | 20.958(13.2) |
| SendMore | 116.518 | 65.936(1.76) | 31.892(3.65) | 16.882(6.9) | 10.364(11.24) |
| 8-Costas | 66.221 | 34.053(1.94) | 17.126(3.86) | 8.656(7.65) | 5.202(12.72) |
| 8-Puzzle | 52.909 | 29.615(1.78) | 15.148(3.49) | 8.206(6.44) | 5.654(9.35) |
| Bart | 25.734 | 13.898(1.85) | 6.863(3.74) | 3.704(6.94) | 2.382(10.8) |
| Solitaire | 12.676 | 7.552(1.67) | 3.910(3.24) | 2.177(5.82) | 1.606(7.89) |
| 10-Queens | 7.557 | 3.935(1.92) | 2.116(3.57) | 1.483(5.09) | 1.535(4.92) |
| Hamilton | 6.908 | 3.910(1.76) | 1.963(3.51) | 1.284(5.38) | 0.991(6.97) |
| MapColoring | 2.009 | 1.332(1.5) | 0.721(2.78) | 0.476(4.22) | 0.675(2.97) |
| 8-Queens | 0.308 | 0.194(1.58) | 0.158(1.94) | 0.161(1.91) | 0.138(2.23) | | 0 |
| Benchmark | #Agents<br>1281632 | | | | |
| --- | --- | --- | --- | --- | --- |
| 9Costas | 412.579 | 210.228(1.96) | 52.686(7.83) | 26.547(15.54) | 14.075(29.31) |
| Knight | 159.950 | 81.615(1.95) | 20.754(7.7) | 10.939(14.62) | 8.248(19.39) |
| Stable | 62.638 | 35.299(1.77) | 9.117(6.87) | 4.844(12.93) | 3.315(18.89) |
| SendMore | 61.817 | 32.953(1.87) | 8.931(6.92) | 4.923(12.55) | 3.916(15.78) |
| 8Costas | 38.681 | 19.746(1.95) | 5.052(7.65) | 2.733(14.15) | 1.753(22.06) |
| 8Puzzle | 27.810 | 15.387(1.8) | 10.522(2.64) | 3.128(8.89) | 5.940(4.68)) | | | Bart | 13.619 | 7.958(1.71) | 2.031(6.7) | 1.600(8.51) | 0.811(16.79) |
| --- | --- | --- | --- | --- | --- |
| Solitaire | 5.909 | 3.538(1.67) | 1.003(5.89) | 0.628(9.4) | 0.535(11.04) |
| 10Queens | 4.572 | 2.418(1.89) | 0.821(5.56) | 1.043(4.38) | 0.905(5.05) |
| Hamilton | 3.175 | 1.807(1.75) | 0.610(5.2) | 0.458(6.93) | 0.486(6.53) |
| MapColoring | 1.113 | 0.702(1.58) | 0.319(3.48) | 0.318(3.5) | 0.348(3.19) |
| 8Queens | 0.185 | 0.162(1.14) | 0.208(0.88) | 0.169(1.09) | 0.180(1.02) | | 1 |
| Benchmark | #Agents<br>1281632 | | | | |
| --- | --- | --- | --- | --- | --- |
| 9Costas | 412.579 | 210.228(1.96) | 52.686(7.83) | 26.547(15.54) | 14.075(29.31) |
| Knight | 159.950 | 81.615(1.95) | 20.754(7.7) | 10.939(14.62) | 8.248(19.39) |
| Stable | 62.638 | 35.299(1.77) | 9.117(6.87) | 4.844(12.93) | 3.315(18.89) |
| SendMore | 61.817 | 32.953(1.87) | 8.931(6.92) | 4.923(12.55) | 3.916(15.78) |
| 8Costas | 38.681 | 19.746(1.95) | 5.052(7.65) | 2.733(14.15) | 1.753(22.06) |
| 8Puzzle | 27.810 | 15.387(1.8) | 10.522(2.64) | 3.128(8.89) | 5.940(4.68)) | | | 8-Costas | 66.221 | 34.053(1.94) | 17.126(3.86) | 8.656(7.65) | 5.202(12.72) |
| --- | --- | --- | --- | --- | --- |
| 8-Puzzle | 52.909 | 29.615(1.78) | 15.148(3.49) | 8.206(6.44) | 5.654(9.35) |
| Bart | 25.734 | 13.898(1.85) | 6.863(3.74) | 3.704(6.94) | 2.382(10.8) |
| Solitaire | 12.676 | 7.552(1.67) | 3.910(3.24) | 2.177(5.82) | 1.606(7.89) |
| 10-Queens | 7.557 | 3.935(1.92) | 2.116(3.57) | 1.483(5.09) | 1.535(4.92) |
| Hamilton | 6.908 | 3.910(1.76) | 1.963(3.51) | 1.284(5.38) | 0.991(6.97) |
| MapColoring | 2.009 | 1.332(1.5) | 0.721(2.78) | 0.476(4.22) | 0.675(2.97) |
| 8-Queens | 0.308 | 0.194(1.58) | 0.158(1.94) | 0.161(1.91) | 0.138(2.23) | | 0 |
| 79.38(78.88,79.82) | 80.49(80.16,80.87) | 80.60(80.27,80.85) | 80.76(80.48,81.00) | 80.80(80.56,81.11) | 80.79(80.68,80.86) |
| --- | --- | --- | --- | --- | --- |
| 45.62(45.28,46.01) | 46.33(46.00,46.69) | 46.21(45.68,46.85) | 46.23(45.70,46.99) | 46.10(45.71,46.59) | 46.20(45.85,46.55) |
| 83.38(82.65,83.68) | 84.71(84.46,85.27) | 84.89(84.56,85.16) | 84.92(84.81,85.18) | 84.98(84.66,85.18) | 84.99(84.29,85.44) |
| 91.84(91.30,92.02) | 92.75(92.61,92.88) | 92.89(92.66,93.06) | 92.88(92.75,92.97) | 92.91(92.75,93.01) | 92.88(92.75,93.03) |
| 89.02(88.62,89.31) | 90.51(90.26,90.82) | 90.62(90.09,90.82) | 90.73(90.48,90.99) | 90.72(90.43,90.89) | 90.70(90.51,91.03) | | | 79.40(78.76,80.03) | 82.57(82.05,83.31) | 83.48(82.99,84.06) | 83.83(83.51,84.26) | 83.95(83.36,84.60) | 83.96(83.49,84.47) |
| --- | --- | --- | --- | --- | --- |
| 89.28(89.04,89.45) | 89.53(89.31,89.72) | 89.55(89.18,89.81) | 89.73(89.62,89.85) | 89.80(89.65,89.96) | 89.84(89.74,90.02) | | 1 |
| 79.38(78.88,79.82) | 80.49(80.16,80.87) | 80.60(80.27,80.85) | 80.76(80.48,81.00) | 80.80(80.56,81.11) | 80.79(80.68,80.86) |
| --- | --- | --- | --- | --- | --- |
| 45.62(45.28,46.01) | 46.33(46.00,46.69) | 46.21(45.68,46.85) | 46.23(45.70,46.99) | 46.10(45.71,46.59) | 46.20(45.85,46.55) |
| 83.38(82.65,83.68) | 84.71(84.46,85.27) | 84.89(84.56,85.16) | 84.92(84.81,85.18) | 84.98(84.66,85.18) | 84.99(84.29,85.44) |
| 91.84(91.30,92.02) | 92.75(92.61,92.88) | 92.89(92.66,93.06) | 92.88(92.75,92.97) | 92.91(92.75,93.01) | 92.88(92.75,93.03) |
| 89.02(88.62,89.31) | 90.51(90.26,90.82) | 90.62(90.09,90.82) | 90.73(90.48,90.99) | 90.72(90.43,90.89) | 90.70(90.51,91.03) | | | 79.22(79.02,79.57) | 45.46(44.88,45.96) | 83.24(82.93,83.67) | 91.97(91.64,92.17) | 85.86(85.54,86.13) | 80.24(79.64,80.62) |
| --- | --- | --- | --- | --- | --- |
| 80.27(79.94,80.51) | 46.18(45.74,46.52) | 84.37(83.96,94.70) | 92.83(92.58,93.06) | 90.33(90.05,90.62) | 80.71(79.72,81.37) |
| 80.35(80.05,80.65) | 46.18(45.69,46.63) | 84.38(84.04,84.61) | 92.54(92.44,92.68) | 90.06(89.84,90.26) | 81.11(80.54,81.55) |
| 80.25(79.89,80.60) | 45.96(45.44,46.55) | 84.24(83.40,84.59) | 92.50(92.33,92.68) | 89.44(89.07,89.84) | 81.53(81.09,82.05) |
| 80.02(79.68,80.17) | 45.65(45.08,46.09) | 83.90(83.40,84.37) | 92.31(92.19,92.50) | 88.81(88.53,89.03) | 81.19(80.89,81.61) |
| 79.59(79.36,79.75) | 45.19(44.67,45.62) | 83.64(83.32,83.95) | 92.02(91.86,92.23) | 88.41(87.96,88.71) | 81.36(80.72,82.04) |
| 79.33(78.76,79.75) | 45.02(44.15,45.77) | 83.30(83.03,83.60) | 91.87(91.70,91.99) | 88.46(88.21,88.85) | 81.42(81.03,81.90) |
| 79.05(78.91,79.21) | 44.61(44.05,45.53) | 83.24(82.82,83.70) | 91.95(91.59,92.16) | 88.23(87.57,88.56) | 81.16(80.69,81.57) |
| 79.04(78.86,79.30) | 44.66(44.42,44.91) | 83.09(82.61,83.42) | 91.85(91.74,92.00) | 88.41(87.98,88.67) | 81.28(80.96,81.55) | | 0 |
| 79.38(78.88,79.82) | 80.49(80.16,80.87) | 80.60(80.27,80.85) | 80.76(80.48,81.00) | 80.80(80.56,81.11) | 80.79(80.68,80.86) |
| --- | --- | --- | --- | --- | --- |
| 45.62(45.28,46.01) | 46.33(46.00,46.69) | 46.21(45.68,46.85) | 46.23(45.70,46.99) | 46.10(45.71,46.59) | 46.20(45.85,46.55) | | | 83.38(82.65,83.68) | 84.71(84.46,85.27) | 84.89(84.56,85.16) | 84.92(84.81,85.18) | 84.98(84.66,85.18) | 84.99(84.29,85.44) |
| --- | --- | --- | --- | --- | --- |
| 91.84(91.30,92.02) | 92.75(92.61,92.88) | 92.89(92.66,93.06) | 92.88(92.75,92.97) | 92.91(92.75,93.01) | 92.88(92.75,93.03) |
| 89.02(88.62,89.31) | 90.51(90.26,90.82) | 90.62(90.09,90.82) | 90.73(90.48,90.99) | 90.72(90.43,90.89) | 90.70(90.51,91.03) |
| 79.40(78.76,80.03) | 82.57(82.05,83.31) | 83.48(82.99,84.06) | 83.83(83.51,84.26) | 83.95(83.36,84.60) | 83.96(83.49,84.47) |
| 89.28(89.04,89.45) | 89.53(89.31,89.72) | 89.55(89.18,89.81) | 89.73(89.62,89.85) | 89.80(89.65,89.96) | 89.84(89.74,90.02) | | 1 |
| 79.38(78.88,79.82) | 80.49(80.16,80.87) | 80.60(80.27,80.85) | 80.76(80.48,81.00) | 80.80(80.56,81.11) | 80.79(80.68,80.86) |
| --- | --- | --- | --- | --- | --- |
| 45.62(45.28,46.01) | 46.33(46.00,46.69) | 46.21(45.68,46.85) | 46.23(45.70,46.99) | 46.10(45.71,46.59) | 46.20(45.85,46.55) | | | 80.25(79.89,80.60) | 45.96(45.44,46.55) | 84.24(83.40,84.59) | 92.50(92.33,92.68) | 89.44(89.07,89.84) | 81.53(81.09,82.05) |
| --- | --- | --- | --- | --- | --- |
| 80.02(79.68,80.17) | 45.65(45.08,46.09) | 83.90(83.40,84.37) | 92.31(92.19,92.50) | 88.81(88.53,89.03) | 81.19(80.89,81.61) |
| 79.59(79.36,79.75) | 45.19(44.67,45.62) | 83.64(83.32,83.95) | 92.02(91.86,92.23) | 88.41(87.96,88.71) | 81.36(80.72,82.04) |
| 79.33(78.76,79.75) | 45.02(44.15,45.77) | 83.30(83.03,83.60) | 91.87(91.70,91.99) | 88.46(88.21,88.85) | 81.42(81.03,81.90) |
| 79.05(78.91,79.21) | 44.61(44.05,45.53) | 83.24(82.82,83.70) | 91.95(91.59,92.16) | 88.23(87.57,88.56) | 81.16(80.69,81.57) |
| 79.04(78.86,79.30) | 44.66(44.42,44.91) | 83.09(82.61,83.42) | 91.85(91.74,92.00) | 88.41(87.98,88.67) | 81.28(80.96,81.55) | | 0 |
| method/distr. | D1 | D2 | D3 | D4 | D5 |
| --- | --- | --- | --- | --- | --- |
| ES | 0.76 | 1.78 | 4.83 | 3.63 | 59.74 | | | ES4LT | 0.28 | 0.84 | 6.40 | 1.40 | 31.12 |
| --- | --- | --- | --- | --- | --- |
| MD | 5.79 | 16.04 | 6.65 | 13.56 | 33.51 |
| MD4LT | 0.80 | 1.60 | 2.32 | 2.36 | 4.87 |
| VO | 1.68 | 5.96 | 6.16 | 7.25 | 18.10 |
| VO4LT | 0.32 | 1.41 | 4.85 | 1.53 | 3.12 | | 1 |
| method/distr. | D1 | D2 | D3 | D4 | D5 |
| --- | --- | --- | --- | --- | --- |
| ES | 0.76 | 1.78 | 4.83 | 3.63 | 59.74 | | | method/distr. | D1 | D2 | D3 | D4 | D5 |
| --- | --- | --- | --- | --- | --- |
| ES | 0.47 | 0.87 | 2.31 | 7.54 | 66.41 |
| ES4LT | 0.27 | 0.35 | 1.14 | 3.59 | 25.01 |
| MD | 8.37 | 2.89 | 3.30 | 3.46 | 25.01 |
| MD4LT | 0.70 | 0.59 | 1.33 | 1.79 | 2.02 |
| VO | 1.77 | 2.16 | 2.82 | 3.37 | 7.78 |
| VO4LT | 0.32 | 0.56 | 1.24 | 1.68 | 1.82 | | 0 |
| method/distr. | D1 | D2 | D3 | D4 | D5 |
| --- | --- | --- | --- | --- | --- |
| ES | 0.76 | 1.78 | 4.83 | 3.63 | 59.74 |
| ES4LT | 0.28 | 0.84 | 6.40 | 1.40 | 31.12 |
| MD | 5.79 | 16.04 | 6.65 | 13.56 | 33.51 | | | MD4LT | 0.80 | 1.60 | 2.32 | 2.36 | 4.87 |
| --- | --- | --- | --- | --- | --- |
| VO | 1.68 | 5.96 | 6.16 | 7.25 | 18.10 |
| VO4LT | 0.32 | 1.41 | 4.85 | 1.53 | 3.12 | | 1 |
| method/distr. | D1 | D2 | D3 | D4 | D5 |
| --- | --- | --- | --- | --- | --- |
| ES | 0.76 | 1.78 | 4.83 | 3.63 | 59.74 |
| ES4LT | 0.28 | 0.84 | 6.40 | 1.40 | 31.12 |
| MD | 5.79 | 16.04 | 6.65 | 13.56 | 33.51 | | | MD4LT | 0.70 | 0.59 | 1.33 | 1.79 | 2.02 |
| --- | --- | --- | --- | --- | --- |
| VO | 1.77 | 2.16 | 2.82 | 3.37 | 7.78 |
| VO4LT | 0.32 | 0.56 | 1.24 | 1.68 | 1.82 | | 0 |
| Phone | Track |
| --- | --- |
| Nexus4#1 | 8-5-6-7-1-2-3-4-5-6-4-3-2-1-7-8 | | | Nexus4#2 | 7-1-2-3-4-5-8-7-6-5-4-2-1-7-8 |
| --- | --- |
| Nexus5 | 3-2-4-9-10-12-11-9-4-5-6-4-3-2-1-7-6-5-8-7 |
| HTCDesire | 10-12-11-9-4-2-1-7-6-5-8 | | 1 |
| Phone | Track |
| --- | --- |
| Nexus4#1 | 8-5-6-7-1-2-3-4-5-6-4-3-2-1-7-8 | | | Tracker | TrackPurity | TargetPurity |
| --- | --- | --- |
| 2Groups | 48.50 | 45.28 |
| 3Groups | 55.27 | 48.81 |
| 6Groups | 60.11 | 55.39 |
| 12Groups | 64.37 | 57.49 |
| 20Groups | 55.65 | 51.50 | | 0 |
| Phone | Track |
| --- | --- |
| Nexus4#1 | 8-5-6-7-1-2-3-4-5-6-4-3-2-1-7-8 | | | Nexus4#2 | 7-1-2-3-4-5-8-7-6-5-4-2-1-7-8 |
| --- | --- |
| Nexus5 | 3-2-4-9-10-12-11-9-4-5-6-4-3-2-1-7-6-5-8-7 |
| HTCDesire | 10-12-11-9-4-2-1-7-6-5-8 | | 1 |
| Phone | Track |
| --- | --- |
| Nexus4#1 | 8-5-6-7-1-2-3-4-5-6-4-3-2-1-7-8 | | | 12Groups | 64.37 | 57.49 |
| --- | --- | --- |
| 20Groups | 55.65 | 51.50 | | 0 |
| n | t=m | k=(cid:100)n/m(cid:101) | exp.prob. | P(n,m,t,k) | dF4 | av.sec. | MB |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 12 | 6 | 2 | 0.00 | 0.0013 | 4 | 2.30 | 257.8 |
| 13 | 4 | 4 | 0.41 | 0.2834 | 4 | 81.64 | 739.8 |
| 13 | 5 | 3 | 0.05 | 0.0327 | 4 | 84.65 | 1597.8 |
| 14 | 4 | 4 | 0.10 | 0.1535 | 4 | 79.57 | 879.7 |
| 14 | 5 | 3 | 0.02 | 0.0165 | 4 | 23.47 | 960.2 | | | 15 | 4 | 4 | 0.11 | 0.0799 | 4 | 136.70 | 1457.3 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 15 | 5 | 3 | 0.05 | 0.0082 | 4 | 300.48 | 3286.9 |
| 16 | 4 | 4 | 0.09 | 0.0408 | 4 | 175.72 | 1657.7 |
| 17 | 3 | 6* | 0.32 | 0.2834 | 4 | 27.08 | 378.1 |
| 17 | 3 | 6 | 0.30 | 0.2834 | 4 | 11.41 | 364.1 |
| 17* | 3 | 6 | 0.36 | 0.2834 | 4 | 12.09 | 355.1 |
| 17* | 3 | 6* | 0.25 | 0.2834 | 4 | 34.32 | 693.2 | | 1 |
| n | t=m | k=(cid:100)n/m(cid:101) | exp.prob. | P(n,m,t,k) | dF4 | av.sec. | MB |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 12 | 6 | 2 | 0.00 | 0.0013 | 4 | 2.30 | 257.8 |
| 13 | 4 | 4 | 0.41 | 0.2834 | 4 | 81.64 | 739.8 |
| 13 | 5 | 3 | 0.05 | 0.0327 | 4 | 84.65 | 1597.8 |
| 14 | 4 | 4 | 0.10 | 0.1535 | 4 | 79.57 | 879.7 |
| 14 | 5 | 3 | 0.02 | 0.0165 | 4 | 23.47 | 960.2 | | | \|V\|(cid:101) | min(\|V\|)(cid:101) | max(\|V\|)(cid:101) | max(q)n | cn | Time(sec.) |
| --- | --- | --- | --- | --- | --- |
| 0.8850 | 0.000000 | 0.0 | 0.0 | 1 | 1 |
| 0.9350 | 0.000000 | 0.0 | 0.0 | 3 | 8 |
| 0.9600 | 0.000000 | 0.0 | 0.0 | 5 | 156 |
| 0.9750 | 0.000000 | 0.0 | 0.0 | 6 | 177 |
| 0.9775 | 0.000000 | 0.0 | 0.0 | 6 | 139 |
| 0.9800 | 0.000000 | 0.0 | 0.0 | 6 | 75 |
| 0.9840 | -0.000802 | 0.0 | 0.0 | 7 | 340 | | 0 |
| n | t=m | k=(cid:100)n/m(cid:101) | exp.prob. | P(n,m,t,k) | dF4 | av.sec. | MB |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 12 | 6 | 2 | 0.00 | 0.0013 | 4 | 2.30 | 257.8 |
| 13 | 4 | 4 | 0.41 | 0.2834 | 4 | 81.64 | 739.8 |
| 13 | 5 | 3 | 0.05 | 0.0327 | 4 | 84.65 | 1597.8 |
| 14 | 4 | 4 | 0.10 | 0.1535 | 4 | 79.57 | 879.7 | | | 14 | 5 | 3 | 0.02 | 0.0165 | 4 | 23.47 | 960.2 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 15 | 4 | 4 | 0.11 | 0.0799 | 4 | 136.70 | 1457.3 |
| 15 | 5 | 3 | 0.05 | 0.0082 | 4 | 300.48 | 3286.9 |
| 16 | 4 | 4 | 0.09 | 0.0408 | 4 | 175.72 | 1657.7 |
| 17 | 3 | 6* | 0.32 | 0.2834 | 4 | 27.08 | 378.1 |
| 17 | 3 | 6 | 0.30 | 0.2834 | 4 | 11.41 | 364.1 |
| 17* | 3 | 6 | 0.36 | 0.2834 | 4 | 12.09 | 355.1 |
| 17* | 3 | 6* | 0.25 | 0.2834 | 4 | 34.32 | 693.2 | | 1 |
| n | t=m | k=(cid:100)n/m(cid:101) | exp.prob. | P(n,m,t,k) | dF4 | av.sec. | MB |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 12 | 6 | 2 | 0.00 | 0.0013 | 4 | 2.30 | 257.8 |
| 13 | 4 | 4 | 0.41 | 0.2834 | 4 | 81.64 | 739.8 |
| 13 | 5 | 3 | 0.05 | 0.0327 | 4 | 84.65 | 1597.8 |
| 14 | 4 | 4 | 0.10 | 0.1535 | 4 | 79.57 | 879.7 | | | 0.9600 | 0.000000 | 0.0 | 0.0 | 5 | 156 |
| --- | --- | --- | --- | --- | --- |
| 0.9750 | 0.000000 | 0.0 | 0.0 | 6 | 177 |
| 0.9775 | 0.000000 | 0.0 | 0.0 | 6 | 139 |
| 0.9800 | 0.000000 | 0.0 | 0.0 | 6 | 75 |
| 0.9840 | -0.000802 | 0.0 | 0.0 | 7 | 340 | | 0 |
| Model | Label | ACC | TNR | FPR | FNR | Precision | Recall | F1 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| SVM<br>MLP<br>LR<br>RF<br>CNN | 0<br>0<br>0<br>0<br>0 | 87.41±0.46<br>75.56±12.84<br>64.08±0.66<br>87.40±0.32<br>92.63±0.27 | 97.00±0.20<br>74.86±18.72<br>99.73±0.11<br>93.47±0.19<br>94.64±0.44 | 3.00±0.20<br>5.14±1.35<br>0.27±0.11<br>6.53±0.19<br>5.36±0.44 | 32.66±1.02<br>36.31±9.94<br>60.22±0.59<br>29.16±0.68<br>13.93±1.26 | 91.44±0.61<br>83.79±4.29<br>99.55±0.17<br>79.85±0.66<br>82.86±1.41 | 67.34±1.02<br>63.69±9.94<br>39.78±0.59<br>70.84±0.68<br>86.07±1.26 | 77.54±0.71<br>68.96±7.52<br>56.84±0.60<br>75.07±0.55<br>84.37±0.60 |
| SVM<br>MLP<br>LR<br>RF<br>CNN | 1<br>1<br>1<br>1<br>1 | 93.87±0.24<br>91.69±1.43<br>91.49±0.24<br>92.10±0.28<br>95.37±0.28 | 97.72±0.25<br>94.90±2.17<br>97.66±0.15<br>95.79±0.16<br>97.40±0.14 | 2.28±0.25<br>5.10±2.17<br>2.34±0.15<br>4.21±0.16<br>2.60±0.14 | 25.26±1.56<br>21.39±5.93<br>34.88±1.25<br>28.87±1.43<br>16.10±1.71 | 86.54±1.71<br>66.27±16.70<br>86.66±0.97<br>74.81±1.35<br>85.00±0.76 | 74.74±1.56<br>58.61±14.87<br>65.12±1.25<br>71.13±1.43<br>83.90±1.71 | 80.09±0.58<br>61.97±15.54<br>74.34±1.04<br>72.92±1.34<br>84.39±0.84 |
| SVM<br>MLP<br>LR<br>RF<br>CNN | 2<br>2<br>2<br>2<br>2 | 93.10±0.82<br>90.87±1.36<br>91.96±0.20<br>91.80±0.29<br>94.96±0.20 | 96.60±0.72<br>94.31±2.00<br>94.57±0.30<br>95.96±0.24<br>97.43±0.30 | 3.40±0.72<br>5.69±2.00<br>5.43±0.30<br>4.04±0.24<br>2.57±0.30 | 24.85±5.84<br>26.03±7.36<br>28.05±1.56<br>33.08±1.38<br>20.83±1.64 | 77.20±5.20<br>60.56±15.27<br>63.38±1.22<br>73.41±1.95<br>82.13±2.39 | 75.15±5.84<br>53.97±13.92<br>71.95±1.56<br>66.92±1.38<br>79.17±1.64 | 74.63±1.74<br>56.90±14.42<br>67.31±0.65<br>69.99±1.50<br>80.43±0.38 |
| SVM<br>MLP<br>LR<br>RF<br>CNN | 3<br>3<br>3<br>3<br>3 | 92.61±0.56<br>89.76±0.71<br>90.81±0.22<br>93.14±0.24<br>95.16±0.27 | 93.12±0.84<br>93.50±1.12<br>90.81±0.22<br>96.03±0.27<br>97.18±0.22 | 6.88±0.84<br>6.50±1.12<br>9.19±0.22<br>3.97±0.27<br>2.82±0.22 | 16.33±4.43<br>46.26±12.21<br>4.00±4.00<br>36.51±1.39<br>23.35±3.13 | 28.36±8.11<br>34.43±11.69<br>0.92±0.25<br>61.03±2.22<br>73.68±2.40 | 83.67±4.43<br>33.74±9.29<br>96.00±4.00<br>63.49±1.39<br>76.65±3.13 | 38.90±8.09<br>33.17±10.27<br>1.81±0.49<br>62.15±1.47<br>74.79±1.11 |
| SVM<br>MLP<br>LR<br>RF<br>CNN | 4<br>4<br>4<br>4<br>4 | 95.28±1.88<br>93.12±0.93<br>93.60±0.20<br>96.31±0.16<br>98.34±0.09 | 98.42±0.61<br>96.50±1.31<br>93.55±0.20<br>97.96±0.14<br>99.09±0.13 | 1.58±0.61<br>3.50±1.31<br>6.45±0.20<br>2.04±0.14<br>0.91±0.13 | 20.89±10.60<br>31.47±8.98<br>4.41±0.72<br>20.92±1.19<br>9.02±1.56 | 83.34±6.79<br>61.83±15.86<br>28.50±1.02<br>78.82±1.58<br>91.06±1.20 | 79.11±10.60<br>48.53±12.88<br>95.59±0.72<br>79.08±1.19<br>90.98±1.56 | 77.68±5.86<br>54.32±14.18<br>43.87±1.24<br>78.92±1.16<br>90.95±0.47 |
| SVM<br>MLP<br>LR<br>RF<br>CNN | 5<br>5<br>5<br>5<br>5 | 96.14±0.22<br>93.88±0.97<br>94.31±0.26<br>94.54±0.11<br>96.60±0.16 | 97.35±0.31<br>95.47±0.96<br>94.60±0.31<br>96.29±0.14<br>98.26±0.30 | 2.65±0.31<br>4.53±0.96<br>5.40±0.31<br>3.71±0.14<br>1.74±0.30 | 20.33±3.08<br>28.15±9.10<br>15.11±2.45<br>31.71±2.48<br>21.74±1.02 | 67.89±4.18<br>43.34±13.30<br>32.81±1.38<br>55.16±1.02<br>79.88±3.83 | 79.67±3.08<br>51.85±14.19<br>84.89±2.45<br>68.29±2.48<br>78.26±1.02 | 72.88±2.46<br>46.93±13.49<br>47.24±1.45<br>60.98±1.52<br>78.85±1.86 |
| SVM<br>MLP<br>LR<br>RF<br>CNN | 6<br>6<br>6<br>6<br>6 | 93.02±0.29<br>91.72±0.40<br>92.60±0.18<br>91.65±0.09<br>94.50±0.38 | 93.31±0.45<br>94.18±0.42<br>92.60±0.18<br>95.40±0.12<br>97.32±0.16 | 6.69±0.45<br>5.82±0.42<br>7.40±0.18<br>4.60±0.12<br>2.68±0.16 | 12.15±7.53<br>47.28±11.88<br>0.00±0.00<br>56.62±0.99<br>40.41±2.32 | 10.38±6.45<br>24.43±7.14<br>0.00±0.00<br>42.28±0.72<br>63.55±2.63 | 27.85±17.09<br>32.72±8.27<br>0.00±0.00<br>43.38±0.99<br>59.59±2.32 | 15.02±9.25<br>27.27±7.18<br>0.00±0.00<br>42.80±0.73<br>61.29±1.77 |
| SVM<br>MLP<br>LR<br>RF<br>CNN | 7<br>7<br>7<br>7<br>7 | 95.29±0.11<br>94.49±0.63<br>92.96±0.13<br>94.42±0.19<br>96.95±0.16 | 95.77±0.07<br>95.59±0.93<br>92.98±0.13<br>95.90±0.19<br>98.15±0.09 | 4.23±0.07<br>4.41±0.93<br>7.02±0.13<br>4.10±0.19<br>1.85±0.09 | 16.10±2.12<br>23.75±6.90<br>11.34±3.33<br>32.83±1.93<br>20.91±1.47 | 44.92±0.91<br>41.76±13.25<br>5.38±0.54<br>47.27±2.70<br>74.07±1.54 | 83.90±2.12<br>56.25±14.50<br>88.66±3.33<br>67.17±1.93<br>79.09±1.47 | 58.49±1.14<br>46.82±13.46<br>10.12±0.95<br>55.41±2.48<br>76.50±1.51 | | | SVM<br>MLP<br>LR<br>RF<br>CNN | 8<br>8<br>8<br>8<br>8 | 90.96±3.98<br>95.99±0.12<br>96.19±0.16<br>96.54±0.15<br>97.76±0.23 | 97.04±0.33<br>96.27±0.19<br>96.19±0.16<br>97.41±0.13<br>98.34±0.12 | 2.96±0.33<br>3.73±0.19<br>3.81±0.16<br>2.59±0.13<br>1.66±0.12 | 44.30±18.58<br>25.59±16.73<br>0.00±0.00<br>41.53±2.39<br>22.20±5.28 | 27.64±9.79<br>2.95±1.65<br>0.41±0.25<br>33.95±1.20<br>56.33±3.00 | 55.70±18.58<br>34.41±19.19<br>40.00±24.49<br>58.47±2.39<br>77.80±5.28 | 19.85±5.18<br>4.67±2.47<br>0.81±0.50<br>42.85±1.15<br>65.04±3.42 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| SVM<br>MLP<br>LR<br>RF<br>CNN | 9<br>9<br>9<br>9<br>9 | 99.44±0.04<br>98.29±0.68<br>99.37±0.05<br>98.96±0.10<br>98.83±0.06 | 99.55±0.03<br>98.78±0.68<br>99.37±0.04<br>99.90±0.05<br>99.94±0.03 | 0.45±0.03<br>1.22±0.68<br>0.63±0.04<br>0.10±0.05<br>0.06±0.03 | 3.18±0.59<br>8.52±6.47<br>0.75±0.36<br>17.81±1.46<br>20.72±1.34 | 90.40±0.72<br>70.87±17.79<br>86.48±0.95<br>97.87±1.09<br>98.63±0.60 | 96.82±0.59<br>71.48±18.88<br>99.25±0.36<br>82.19±1.46<br>79.28±1.34 | 93.49±0.42<br>70.62±17.96<br>92.42±0.61<br>89.33±1.13<br>87.88±0.88 | | 1 |
| Model | Label | ACC | TNR | FPR | FNR | Precision | Recall | F1 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| SVM<br>MLP<br>LR<br>RF<br>CNN | 0<br>0<br>0<br>0<br>0 | 87.41±0.46<br>75.56±12.84<br>64.08±0.66<br>87.40±0.32<br>92.63±0.27 | 97.00±0.20<br>74.86±18.72<br>99.73±0.11<br>93.47±0.19<br>94.64±0.44 | 3.00±0.20<br>5.14±1.35<br>0.27±0.11<br>6.53±0.19<br>5.36±0.44 | 32.66±1.02<br>36.31±9.94<br>60.22±0.59<br>29.16±0.68<br>13.93±1.26 | 91.44±0.61<br>83.79±4.29<br>99.55±0.17<br>79.85±0.66<br>82.86±1.41 | 67.34±1.02<br>63.69±9.94<br>39.78±0.59<br>70.84±0.68<br>86.07±1.26 | 77.54±0.71<br>68.96±7.52<br>56.84±0.60<br>75.07±0.55<br>84.37±0.60 |
| SVM<br>MLP<br>LR<br>RF<br>CNN | 1<br>1<br>1<br>1<br>1 | 93.87±0.24<br>91.69±1.43<br>91.49±0.24<br>92.10±0.28<br>95.37±0.28 | 97.72±0.25<br>94.90±2.17<br>97.66±0.15<br>95.79±0.16<br>97.40±0.14 | 2.28±0.25<br>5.10±2.17<br>2.34±0.15<br>4.21±0.16<br>2.60±0.14 | 25.26±1.56<br>21.39±5.93<br>34.88±1.25<br>28.87±1.43<br>16.10±1.71 | 86.54±1.71<br>66.27±16.70<br>86.66±0.97<br>74.81±1.35<br>85.00±0.76 | 74.74±1.56<br>58.61±14.87<br>65.12±1.25<br>71.13±1.43<br>83.90±1.71 | 80.09±0.58<br>61.97±15.54<br>74.34±1.04<br>72.92±1.34<br>84.39±0.84 |
| SVM<br>MLP<br>LR<br>RF<br>CNN | 2<br>2<br>2<br>2<br>2 | 93.10±0.82<br>90.87±1.36<br>91.96±0.20<br>91.80±0.29<br>94.96±0.20 | 96.60±0.72<br>94.31±2.00<br>94.57±0.30<br>95.96±0.24<br>97.43±0.30 | 3.40±0.72<br>5.69±2.00<br>5.43±0.30<br>4.04±0.24<br>2.57±0.30 | 24.85±5.84<br>26.03±7.36<br>28.05±1.56<br>33.08±1.38<br>20.83±1.64 | 77.20±5.20<br>60.56±15.27<br>63.38±1.22<br>73.41±1.95<br>82.13±2.39 | 75.15±5.84<br>53.97±13.92<br>71.95±1.56<br>66.92±1.38<br>79.17±1.64 | 74.63±1.74<br>56.90±14.42<br>67.31±0.65<br>69.99±1.50<br>80.43±0.38 |
| SVM<br>MLP<br>LR<br>RF<br>CNN | 3<br>3<br>3<br>3<br>3 | 92.61±0.56<br>89.76±0.71<br>90.81±0.22<br>93.14±0.24<br>95.16±0.27 | 93.12±0.84<br>93.50±1.12<br>90.81±0.22<br>96.03±0.27<br>97.18±0.22 | 6.88±0.84<br>6.50±1.12<br>9.19±0.22<br>3.97±0.27<br>2.82±0.22 | 16.33±4.43<br>46.26±12.21<br>4.00±4.00<br>36.51±1.39<br>23.35±3.13 | 28.36±8.11<br>34.43±11.69<br>0.92±0.25<br>61.03±2.22<br>73.68±2.40 | 83.67±4.43<br>33.74±9.29<br>96.00±4.00<br>63.49±1.39<br>76.65±3.13 | 38.90±8.09<br>33.17±10.27<br>1.81±0.49<br>62.15±1.47<br>74.79±1.11 |
| SVM<br>MLP<br>LR<br>RF<br>CNN | 4<br>4<br>4<br>4<br>4 | 95.28±1.88<br>93.12±0.93<br>93.60±0.20<br>96.31±0.16<br>98.34±0.09 | 98.42±0.61<br>96.50±1.31<br>93.55±0.20<br>97.96±0.14<br>99.09±0.13 | 1.58±0.61<br>3.50±1.31<br>6.45±0.20<br>2.04±0.14<br>0.91±0.13 | 20.89±10.60<br>31.47±8.98<br>4.41±0.72<br>20.92±1.19<br>9.02±1.56 | 83.34±6.79<br>61.83±15.86<br>28.50±1.02<br>78.82±1.58<br>91.06±1.20 | 79.11±10.60<br>48.53±12.88<br>95.59±0.72<br>79.08±1.19<br>90.98±1.56 | 77.68±5.86<br>54.32±14.18<br>43.87±1.24<br>78.92±1.16<br>90.95±0.47 |
| SVM<br>MLP<br>LR<br>RF<br>CNN | 5<br>5<br>5<br>5<br>5 | 96.14±0.22<br>93.88±0.97<br>94.31±0.26<br>94.54±0.11<br>96.60±0.16 | 97.35±0.31<br>95.47±0.96<br>94.60±0.31<br>96.29±0.14<br>98.26±0.30 | 2.65±0.31<br>4.53±0.96<br>5.40±0.31<br>3.71±0.14<br>1.74±0.30 | 20.33±3.08<br>28.15±9.10<br>15.11±2.45<br>31.71±2.48<br>21.74±1.02 | 67.89±4.18<br>43.34±13.30<br>32.81±1.38<br>55.16±1.02<br>79.88±3.83 | 79.67±3.08<br>51.85±14.19<br>84.89±2.45<br>68.29±2.48<br>78.26±1.02 | 72.88±2.46<br>46.93±13.49<br>47.24±1.45<br>60.98±1.52<br>78.85±1.86 |
| SVM<br>MLP<br>LR<br>RF<br>CNN | 6<br>6<br>6<br>6<br>6 | 93.02±0.29<br>91.72±0.40<br>92.60±0.18<br>91.65±0.09<br>94.50±0.38 | 93.31±0.45<br>94.18±0.42<br>92.60±0.18<br>95.40±0.12<br>97.32±0.16 | 6.69±0.45<br>5.82±0.42<br>7.40±0.18<br>4.60±0.12<br>2.68±0.16 | 12.15±7.53<br>47.28±11.88<br>0.00±0.00<br>56.62±0.99<br>40.41±2.32 | 10.38±6.45<br>24.43±7.14<br>0.00±0.00<br>42.28±0.72<br>63.55±2.63 | 27.85±17.09<br>32.72±8.27<br>0.00±0.00<br>43.38±0.99<br>59.59±2.32 | 15.02±9.25<br>27.27±7.18<br>0.00±0.00<br>42.80±0.73<br>61.29±1.77 |
| SVM<br>MLP<br>LR<br>RF<br>CNN | 7<br>7<br>7<br>7<br>7 | 95.29±0.11<br>94.49±0.63<br>92.96±0.13<br>94.42±0.19<br>96.95±0.16 | 95.77±0.07<br>95.59±0.93<br>92.98±0.13<br>95.90±0.19<br>98.15±0.09 | 4.23±0.07<br>4.41±0.93<br>7.02±0.13<br>4.10±0.19<br>1.85±0.09 | 16.10±2.12<br>23.75±6.90<br>11.34±3.33<br>32.83±1.93<br>20.91±1.47 | 44.92±0.91<br>41.76±13.25<br>5.38±0.54<br>47.27±2.70<br>74.07±1.54 | 83.90±2.12<br>56.25±14.50<br>88.66±3.33<br>67.17±1.93<br>79.09±1.47 | 58.49±1.14<br>46.82±13.46<br>10.12±0.95<br>55.41±2.48<br>76.50±1.51 | | | Model | Accuracy | Precision<br>(0,1) | Recall<br>(0,1) | F-score<br>(0,1) |
| --- | --- | --- | --- | --- |
| NB | 94.11 | 95,92.32 | 96,90 | 95.5,91.4 |
| SVM | 93.31 | 97.13,87.18 | 92.4,94.91 | 94.74,90.90 |
| E-RNN | 95.4 | 98.42,90.37 | 94.47,97.12 | 96.40,93.62 |
| CNN-RNN | 96.01 | 96.22,95.56 | 97.69,92.81 | 96.94,94.16 |
| EC-RNN | 98.1 | 99.0,96.07 | 97.85,98.27 | 98.42,97.16 | | 0 |
| Model | Label | ACC | TNR | FPR | FNR | Precision | Recall | F1 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| SVM<br>MLP<br>LR<br>RF<br>CNN | 0<br>0<br>0<br>0<br>0 | 87.41±0.46<br>75.56±12.84<br>64.08±0.66<br>87.40±0.32<br>92.63±0.27 | 97.00±0.20<br>74.86±18.72<br>99.73±0.11<br>93.47±0.19<br>94.64±0.44 | 3.00±0.20<br>5.14±1.35<br>0.27±0.11<br>6.53±0.19<br>5.36±0.44 | 32.66±1.02<br>36.31±9.94<br>60.22±0.59<br>29.16±0.68<br>13.93±1.26 | 91.44±0.61<br>83.79±4.29<br>99.55±0.17<br>79.85±0.66<br>82.86±1.41 | 67.34±1.02<br>63.69±9.94<br>39.78±0.59<br>70.84±0.68<br>86.07±1.26 | 77.54±0.71<br>68.96±7.52<br>56.84±0.60<br>75.07±0.55<br>84.37±0.60 |
| SVM<br>MLP<br>LR<br>RF<br>CNN | 1<br>1<br>1<br>1<br>1 | 93.87±0.24<br>91.69±1.43<br>91.49±0.24<br>92.10±0.28<br>95.37±0.28 | 97.72±0.25<br>94.90±2.17<br>97.66±0.15<br>95.79±0.16<br>97.40±0.14 | 2.28±0.25<br>5.10±2.17<br>2.34±0.15<br>4.21±0.16<br>2.60±0.14 | 25.26±1.56<br>21.39±5.93<br>34.88±1.25<br>28.87±1.43<br>16.10±1.71 | 86.54±1.71<br>66.27±16.70<br>86.66±0.97<br>74.81±1.35<br>85.00±0.76 | 74.74±1.56<br>58.61±14.87<br>65.12±1.25<br>71.13±1.43<br>83.90±1.71 | 80.09±0.58<br>61.97±15.54<br>74.34±1.04<br>72.92±1.34<br>84.39±0.84 |
| SVM<br>MLP<br>LR<br>RF<br>CNN | 2<br>2<br>2<br>2<br>2 | 93.10±0.82<br>90.87±1.36<br>91.96±0.20<br>91.80±0.29<br>94.96±0.20 | 96.60±0.72<br>94.31±2.00<br>94.57±0.30<br>95.96±0.24<br>97.43±0.30 | 3.40±0.72<br>5.69±2.00<br>5.43±0.30<br>4.04±0.24<br>2.57±0.30 | 24.85±5.84<br>26.03±7.36<br>28.05±1.56<br>33.08±1.38<br>20.83±1.64 | 77.20±5.20<br>60.56±15.27<br>63.38±1.22<br>73.41±1.95<br>82.13±2.39 | 75.15±5.84<br>53.97±13.92<br>71.95±1.56<br>66.92±1.38<br>79.17±1.64 | 74.63±1.74<br>56.90±14.42<br>67.31±0.65<br>69.99±1.50<br>80.43±0.38 |
| SVM<br>MLP<br>LR<br>RF<br>CNN | 3<br>3<br>3<br>3<br>3 | 92.61±0.56<br>89.76±0.71<br>90.81±0.22<br>93.14±0.24<br>95.16±0.27 | 93.12±0.84<br>93.50±1.12<br>90.81±0.22<br>96.03±0.27<br>97.18±0.22 | 6.88±0.84<br>6.50±1.12<br>9.19±0.22<br>3.97±0.27<br>2.82±0.22 | 16.33±4.43<br>46.26±12.21<br>4.00±4.00<br>36.51±1.39<br>23.35±3.13 | 28.36±8.11<br>34.43±11.69<br>0.92±0.25<br>61.03±2.22<br>73.68±2.40 | 83.67±4.43<br>33.74±9.29<br>96.00±4.00<br>63.49±1.39<br>76.65±3.13 | 38.90±8.09<br>33.17±10.27<br>1.81±0.49<br>62.15±1.47<br>74.79±1.11 |
| SVM<br>MLP<br>LR<br>RF<br>CNN | 4<br>4<br>4<br>4<br>4 | 95.28±1.88<br>93.12±0.93<br>93.60±0.20<br>96.31±0.16<br>98.34±0.09 | 98.42±0.61<br>96.50±1.31<br>93.55±0.20<br>97.96±0.14<br>99.09±0.13 | 1.58±0.61<br>3.50±1.31<br>6.45±0.20<br>2.04±0.14<br>0.91±0.13 | 20.89±10.60<br>31.47±8.98<br>4.41±0.72<br>20.92±1.19<br>9.02±1.56 | 83.34±6.79<br>61.83±15.86<br>28.50±1.02<br>78.82±1.58<br>91.06±1.20 | 79.11±10.60<br>48.53±12.88<br>95.59±0.72<br>79.08±1.19<br>90.98±1.56 | 77.68±5.86<br>54.32±14.18<br>43.87±1.24<br>78.92±1.16<br>90.95±0.47 |
| SVM<br>MLP<br>LR<br>RF<br>CNN | 5<br>5<br>5<br>5<br>5 | 96.14±0.22<br>93.88±0.97<br>94.31±0.26<br>94.54±0.11<br>96.60±0.16 | 97.35±0.31<br>95.47±0.96<br>94.60±0.31<br>96.29±0.14<br>98.26±0.30 | 2.65±0.31<br>4.53±0.96<br>5.40±0.31<br>3.71±0.14<br>1.74±0.30 | 20.33±3.08<br>28.15±9.10<br>15.11±2.45<br>31.71±2.48<br>21.74±1.02 | 67.89±4.18<br>43.34±13.30<br>32.81±1.38<br>55.16±1.02<br>79.88±3.83 | 79.67±3.08<br>51.85±14.19<br>84.89±2.45<br>68.29±2.48<br>78.26±1.02 | 72.88±2.46<br>46.93±13.49<br>47.24±1.45<br>60.98±1.52<br>78.85±1.86 | | | SVM<br>MLP<br>LR<br>RF<br>CNN | 6<br>6<br>6<br>6<br>6 | 93.02±0.29<br>91.72±0.40<br>92.60±0.18<br>91.65±0.09<br>94.50±0.38 | 93.31±0.45<br>94.18±0.42<br>92.60±0.18<br>95.40±0.12<br>97.32±0.16 | 6.69±0.45<br>5.82±0.42<br>7.40±0.18<br>4.60±0.12<br>2.68±0.16 | 12.15±7.53<br>47.28±11.88<br>0.00±0.00<br>56.62±0.99<br>40.41±2.32 | 10.38±6.45<br>24.43±7.14<br>0.00±0.00<br>42.28±0.72<br>63.55±2.63 | 27.85±17.09<br>32.72±8.27<br>0.00±0.00<br>43.38±0.99<br>59.59±2.32 | 15.02±9.25<br>27.27±7.18<br>0.00±0.00<br>42.80±0.73<br>61.29±1.77 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| SVM<br>MLP<br>LR<br>RF<br>CNN | 7<br>7<br>7<br>7<br>7 | 95.29±0.11<br>94.49±0.63<br>92.96±0.13<br>94.42±0.19<br>96.95±0.16 | 95.77±0.07<br>95.59±0.93<br>92.98±0.13<br>95.90±0.19<br>98.15±0.09 | 4.23±0.07<br>4.41±0.93<br>7.02±0.13<br>4.10±0.19<br>1.85±0.09 | 16.10±2.12<br>23.75±6.90<br>11.34±3.33<br>32.83±1.93<br>20.91±1.47 | 44.92±0.91<br>41.76±13.25<br>5.38±0.54<br>47.27±2.70<br>74.07±1.54 | 83.90±2.12<br>56.25±14.50<br>88.66±3.33<br>67.17±1.93<br>79.09±1.47 | 58.49±1.14<br>46.82±13.46<br>10.12±0.95<br>55.41±2.48<br>76.50±1.51 |
| SVM<br>MLP<br>LR<br>RF<br>CNN | 8<br>8<br>8<br>8<br>8 | 90.96±3.98<br>95.99±0.12<br>96.19±0.16<br>96.54±0.15<br>97.76±0.23 | 97.04±0.33<br>96.27±0.19<br>96.19±0.16<br>97.41±0.13<br>98.34±0.12 | 2.96±0.33<br>3.73±0.19<br>3.81±0.16<br>2.59±0.13<br>1.66±0.12 | 44.30±18.58<br>25.59±16.73<br>0.00±0.00<br>41.53±2.39<br>22.20±5.28 | 27.64±9.79<br>2.95±1.65<br>0.41±0.25<br>33.95±1.20<br>56.33±3.00 | 55.70±18.58<br>34.41±19.19<br>40.00±24.49<br>58.47±2.39<br>77.80±5.28 | 19.85±5.18<br>4.67±2.47<br>0.81±0.50<br>42.85±1.15<br>65.04±3.42 |
| SVM<br>MLP<br>LR<br>RF<br>CNN | 9<br>9<br>9<br>9<br>9 | 99.44±0.04<br>98.29±0.68<br>99.37±0.05<br>98.96±0.10<br>98.83±0.06 | 99.55±0.03<br>98.78±0.68<br>99.37±0.04<br>99.90±0.05<br>99.94±0.03 | 0.45±0.03<br>1.22±0.68<br>0.63±0.04<br>0.10±0.05<br>0.06±0.03 | 3.18±0.59<br>8.52±6.47<br>0.75±0.36<br>17.81±1.46<br>20.72±1.34 | 90.40±0.72<br>70.87±17.79<br>86.48±0.95<br>97.87±1.09<br>98.63±0.60 | 96.82±0.59<br>71.48±18.88<br>99.25±0.36<br>82.19±1.46<br>79.28±1.34 | 93.49±0.42<br>70.62±17.96<br>92.42±0.61<br>89.33±1.13<br>87.88±0.88 | | 1 |
| Model | Label | ACC | TNR | FPR | FNR | Precision | Recall | F1 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| SVM<br>MLP<br>LR<br>RF<br>CNN | 0<br>0<br>0<br>0<br>0 | 87.41±0.46<br>75.56±12.84<br>64.08±0.66<br>87.40±0.32<br>92.63±0.27 | 97.00±0.20<br>74.86±18.72<br>99.73±0.11<br>93.47±0.19<br>94.64±0.44 | 3.00±0.20<br>5.14±1.35<br>0.27±0.11<br>6.53±0.19<br>5.36±0.44 | 32.66±1.02<br>36.31±9.94<br>60.22±0.59<br>29.16±0.68<br>13.93±1.26 | 91.44±0.61<br>83.79±4.29<br>99.55±0.17<br>79.85±0.66<br>82.86±1.41 | 67.34±1.02<br>63.69±9.94<br>39.78±0.59<br>70.84±0.68<br>86.07±1.26 | 77.54±0.71<br>68.96±7.52<br>56.84±0.60<br>75.07±0.55<br>84.37±0.60 |
| SVM<br>MLP<br>LR<br>RF<br>CNN | 1<br>1<br>1<br>1<br>1 | 93.87±0.24<br>91.69±1.43<br>91.49±0.24<br>92.10±0.28<br>95.37±0.28 | 97.72±0.25<br>94.90±2.17<br>97.66±0.15<br>95.79±0.16<br>97.40±0.14 | 2.28±0.25<br>5.10±2.17<br>2.34±0.15<br>4.21±0.16<br>2.60±0.14 | 25.26±1.56<br>21.39±5.93<br>34.88±1.25<br>28.87±1.43<br>16.10±1.71 | 86.54±1.71<br>66.27±16.70<br>86.66±0.97<br>74.81±1.35<br>85.00±0.76 | 74.74±1.56<br>58.61±14.87<br>65.12±1.25<br>71.13±1.43<br>83.90±1.71 | 80.09±0.58<br>61.97±15.54<br>74.34±1.04<br>72.92±1.34<br>84.39±0.84 |
| SVM<br>MLP<br>LR<br>RF<br>CNN | 2<br>2<br>2<br>2<br>2 | 93.10±0.82<br>90.87±1.36<br>91.96±0.20<br>91.80±0.29<br>94.96±0.20 | 96.60±0.72<br>94.31±2.00<br>94.57±0.30<br>95.96±0.24<br>97.43±0.30 | 3.40±0.72<br>5.69±2.00<br>5.43±0.30<br>4.04±0.24<br>2.57±0.30 | 24.85±5.84<br>26.03±7.36<br>28.05±1.56<br>33.08±1.38<br>20.83±1.64 | 77.20±5.20<br>60.56±15.27<br>63.38±1.22<br>73.41±1.95<br>82.13±2.39 | 75.15±5.84<br>53.97±13.92<br>71.95±1.56<br>66.92±1.38<br>79.17±1.64 | 74.63±1.74<br>56.90±14.42<br>67.31±0.65<br>69.99±1.50<br>80.43±0.38 |
| SVM<br>MLP<br>LR<br>RF<br>CNN | 3<br>3<br>3<br>3<br>3 | 92.61±0.56<br>89.76±0.71<br>90.81±0.22<br>93.14±0.24<br>95.16±0.27 | 93.12±0.84<br>93.50±1.12<br>90.81±0.22<br>96.03±0.27<br>97.18±0.22 | 6.88±0.84<br>6.50±1.12<br>9.19±0.22<br>3.97±0.27<br>2.82±0.22 | 16.33±4.43<br>46.26±12.21<br>4.00±4.00<br>36.51±1.39<br>23.35±3.13 | 28.36±8.11<br>34.43±11.69<br>0.92±0.25<br>61.03±2.22<br>73.68±2.40 | 83.67±4.43<br>33.74±9.29<br>96.00±4.00<br>63.49±1.39<br>76.65±3.13 | 38.90±8.09<br>33.17±10.27<br>1.81±0.49<br>62.15±1.47<br>74.79±1.11 |
| SVM<br>MLP<br>LR<br>RF<br>CNN | 4<br>4<br>4<br>4<br>4 | 95.28±1.88<br>93.12±0.93<br>93.60±0.20<br>96.31±0.16<br>98.34±0.09 | 98.42±0.61<br>96.50±1.31<br>93.55±0.20<br>97.96±0.14<br>99.09±0.13 | 1.58±0.61<br>3.50±1.31<br>6.45±0.20<br>2.04±0.14<br>0.91±0.13 | 20.89±10.60<br>31.47±8.98<br>4.41±0.72<br>20.92±1.19<br>9.02±1.56 | 83.34±6.79<br>61.83±15.86<br>28.50±1.02<br>78.82±1.58<br>91.06±1.20 | 79.11±10.60<br>48.53±12.88<br>95.59±0.72<br>79.08±1.19<br>90.98±1.56 | 77.68±5.86<br>54.32±14.18<br>43.87±1.24<br>78.92±1.16<br>90.95±0.47 |
| SVM<br>MLP<br>LR<br>RF<br>CNN | 5<br>5<br>5<br>5<br>5 | 96.14±0.22<br>93.88±0.97<br>94.31±0.26<br>94.54±0.11<br>96.60±0.16 | 97.35±0.31<br>95.47±0.96<br>94.60±0.31<br>96.29±0.14<br>98.26±0.30 | 2.65±0.31<br>4.53±0.96<br>5.40±0.31<br>3.71±0.14<br>1.74±0.30 | 20.33±3.08<br>28.15±9.10<br>15.11±2.45<br>31.71±2.48<br>21.74±1.02 | 67.89±4.18<br>43.34±13.30<br>32.81±1.38<br>55.16±1.02<br>79.88±3.83 | 79.67±3.08<br>51.85±14.19<br>84.89±2.45<br>68.29±2.48<br>78.26±1.02 | 72.88±2.46<br>46.93±13.49<br>47.24±1.45<br>60.98±1.52<br>78.85±1.86 | | | SVM | 93.31 | 97.13,87.18 | 92.4,94.91 | 94.74,90.90 |
| --- | --- | --- | --- | --- |
| E-RNN | 95.4 | 98.42,90.37 | 94.47,97.12 | 96.40,93.62 |
| CNN-RNN | 96.01 | 96.22,95.56 | 97.69,92.81 | 96.94,94.16 |
| EC-RNN | 98.1 | 99.0,96.07 | 97.85,98.27 | 98.42,97.16 | | 0 |
| Models | MR=0.01 | MR=0.04 | MR=0.10 | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Loss | PSNR/BM3D | Loss | PSNR/BM3D | Loss | PSNR/BM3D | Loss | |
| ReconNet | 5.307 | 17.27/17.55 | 2.34 | 19.98/20.44 | 1.139 | 22.6793/23.23 | 0.517 |
| fc1089 | 5.42 | 17.26/17.60 | 2.25 | 20.05/20.46 | 1.01 | 23.10/23.39 | 0.398 | | | fc-Res10891 | 5.2066 | 17.37/17.71 | 1.9946 | 20.59/21.03 | 0.7991 | 24.08/24.55 | 0.2880 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| fc-Res10892 | 5.1831 | 17.40/17.79 | 1.9586 | 20.68/21.05 | 0.7756 | 24.28/24.71 | 0.2814 |
| fc-Res10893 | 5.1896 | 17.44/17.80 | 1,9638 | 20.75/20.93 | 0.7696 | 24.32/24.71 | 0.2801 |
| fc-Res10894 | 5.1983 | 17.41/17.75 | 1.9452 | 20.80/21.29 | 0.7650 | 24.25/24.71 | 0.2788 | | 1 |
| Models | MR=0.01 | MR=0.04 | MR=0.10 | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Loss | PSNR/BM3D | Loss | PSNR/BM3D | Loss | PSNR/BM3D | Loss | |
| ReconNet | 5.307 | 17.27/17.55 | 2.34 | 19.98/20.44 | 1.139 | 22.6793/23.23 | 0.517 |
| fc1089 | 5.42 | 17.26/17.60 | 2.25 | 20.05/20.46 | 1.01 | 23.10/23.39 | 0.398 | | | Dataset | BMM+SSC(3D) | SSC(2D)+BMM | OurMethod | | | |
| --- | --- | --- | --- | --- | --- | --- |
| e3D | eMS | e3D | eMS | e3D | eMS | |
| p2free2 | 0.1973 | 0.0 | 0.2177 | 0.0 | 0.1992 | 0.0 |
| p3ball1 | 0.1356 | 0.0 | 0.1422 | 0.0 | 0.1348 | 0.0 |
| p4grab2 | 0.2018 | 0.0 | 0.2182 | 0.0 | 0.2080 | 0.0 |
| p4table12 | 0.2313 | 0.0 | 0.2418 | 0.0 | 0.2313 | 0.0 |
| p4meet12 | 0.0800 | 0.0135 | 0.0941 | 0.0 | 0.0821 | 0.0135 | | 0 |
| Models | MR=0.01 | MR=0.04 | MR=0.10 | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Loss | PSNR/BM3D | Loss | PSNR/BM3D | Loss | PSNR/BM3D | Loss | |
| ReconNet | 5.307 | 17.27/17.55 | 2.34 | 19.98/20.44 | 1.139 | 22.6793/23.23 | 0.517 |
| fc1089 | 5.42 | 17.26/17.60 | 2.25 | 20.05/20.46 | 1.01 | 23.10/23.39 | 0.398 |
| fc-Res10891 | 5.2066 | 17.37/17.71 | 1.9946 | 20.59/21.03 | 0.7991 | 24.08/24.55 | 0.2880 | | | fc-Res10892 | 5.1831 | 17.40/17.79 | 1.9586 | 20.68/21.05 | 0.7756 | 24.28/24.71 | 0.2814 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| fc-Res10893 | 5.1896 | 17.44/17.80 | 1,9638 | 20.75/20.93 | 0.7696 | 24.32/24.71 | 0.2801 |
| fc-Res10894 | 5.1983 | 17.41/17.75 | 1.9452 | 20.80/21.29 | 0.7650 | 24.25/24.71 | 0.2788 | | 1 |
| Models | MR=0.01 | MR=0.04 | MR=0.10 | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Loss | PSNR/BM3D | Loss | PSNR/BM3D | Loss | PSNR/BM3D | Loss | |
| ReconNet | 5.307 | 17.27/17.55 | 2.34 | 19.98/20.44 | 1.139 | 22.6793/23.23 | 0.517 |
| fc1089 | 5.42 | 17.26/17.60 | 2.25 | 20.05/20.46 | 1.01 | 23.10/23.39 | 0.398 |
| fc-Res10891 | 5.2066 | 17.37/17.71 | 1.9946 | 20.59/21.03 | 0.7991 | 24.08/24.55 | 0.2880 | | | p3ball1 | 0.1356 | 0.0 | 0.1422 | 0.0 | 0.1348 | 0.0 |
| --- | --- | --- | --- | --- | --- | --- |
| p4grab2 | 0.2018 | 0.0 | 0.2182 | 0.0 | 0.2080 | 0.0 |
| p4table12 | 0.2313 | 0.0 | 0.2418 | 0.0 | 0.2313 | 0.0 |
| p4meet12 | 0.0800 | 0.0135 | 0.0941 | 0.0 | 0.0821 | 0.0135 | | 0 |
| Processor | IPS |
| --- | --- |
| MSP430 | 6<br>16x10 | | | A9 | 3.6x10 |
| --- | --- |
| Celeron | 6.43x10 |
| Corei3 | 36.8x10 |
| Xeon | 136.20x10 | | 1 |
| Processor | IPS |
| --- | --- |
| MSP430 | 6<br>16x10 | | | CPUModel | IntelXeonE5-2690 |
| --- | --- |
| CPUCores | 8 |
| DRAMSize | 128GB |
| GPUModel | TeslaK20c |
| DeviceMemorySize | 5GBGDDR5 |
| SMsandSPs | 13and192 |
| ComputeCapability | 3.5 |
| CUDASDK | 7.5 |
| PCIeBus | PCIex16Gen2 | | 0 |
| Processor | IPS |
| --- | --- |
| MSP430 | 6<br>16x10 | | | A9 | 3.6x10 |
| --- | --- |
| Celeron | 6.43x10 |
| Corei3 | 36.8x10 |
| Xeon | 136.20x10 | | 1 |
| Processor | IPS |
| --- | --- |
| MSP430 | 6<br>16x10 | | | CUDASDK | 7.5 |
| --- | --- |
| PCIeBus | PCIex16Gen2 | | 0 |
| Method | Torso | Head | U.Leg | L.Leg | U.Arm | L.Arm | Total |
| --- | --- | --- | --- | --- | --- | --- | --- |
| | 81.4 | 75.6 | 63.2 | 55.1 | 47.6 | 31.7 | 55.2 |
| | 85.4 | 76.1 | 73.4 | 65.4 | 64.7 | 46.9 | 66.2 |
| | 97.6 | 93.2 | 83.9 | 75.1 | 72.0 | 48.3 | 74.9 |
| ,3Layers | 97.1 | 92.2 | 85.1 | 76.1 | 71.0 | 45.1 | 74.4 | | | ,4Layers | 96.1 | 92.7 | 81.2 | 71.0 | 69.5 | 39.0 | 71.0 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| MST | 91.2 | 88.8 | 82.0 | 73.2 | 73.2 | 48.6 | 73.6 |
| OA-MST | 92.0 | 89.3 | 84.6 | 77.1 | 74.1 | 50.2 | 75.4 | | 1 |
| Method | Torso | Head | U.Leg | L.Leg | U.Arm | L.Arm | Total |
| --- | --- | --- | --- | --- | --- | --- | --- |
| | 81.4 | 75.6 | 63.2 | 55.1 | 47.6 | 31.7 | 55.2 |
| | 85.4 | 76.1 | 73.4 | 65.4 | 64.7 | 46.9 | 66.2 |
| | 97.6 | 93.2 | 83.9 | 75.1 | 72.0 | 48.3 | 74.9 |
| ,3Layers | 97.1 | 92.2 | 85.1 | 76.1 | 71.0 | 45.1 | 74.4 | | | Method | Torso | Head | U.Leg | L.Leg | U.Arm | L.Arm | Total |
| --- | --- | --- | --- | --- | --- | --- | --- |
| | 88.3 | 81.8 | 64.0 | 50.6 | 42.3 | 21.3 | 52.6 |
| | 86.6 | 68.8 | 56.3 | 50.2 | 30.8 | 20.3 | 47.0 |
| | 91.5 | 85.0 | 66.8 | 54.7 | 38.3 | 23.9 | 54.4 |
| MST | 83.8 | 83.8 | 73.9 | 60.1 | 49.0 | 35.2 | 60.4 |
| OA-MST | 86.2 | 86.4 | 77.9 | 65.5 | 52.3 | 38.1 | 63.6 | | 0 |
| Method | Torso | Head | U.Leg | L.Leg | U.Arm | L.Arm | Total |
| --- | --- | --- | --- | --- | --- | --- | --- |
| | 81.4 | 75.6 | 63.2 | 55.1 | 47.6 | 31.7 | 55.2 | | | | 85.4 | 76.1 | 73.4 | 65.4 | 64.7 | 46.9 | 66.2 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| | 97.6 | 93.2 | 83.9 | 75.1 | 72.0 | 48.3 | 74.9 |
| ,3Layers | 97.1 | 92.2 | 85.1 | 76.1 | 71.0 | 45.1 | 74.4 |
| ,4Layers | 96.1 | 92.7 | 81.2 | 71.0 | 69.5 | 39.0 | 71.0 |
| MST | 91.2 | 88.8 | 82.0 | 73.2 | 73.2 | 48.6 | 73.6 |
| OA-MST | 92.0 | 89.3 | 84.6 | 77.1 | 74.1 | 50.2 | 75.4 | | 1 |
| Method | Torso | Head | U.Leg | L.Leg | U.Arm | L.Arm | Total |
| --- | --- | --- | --- | --- | --- | --- | --- |
| | 81.4 | 75.6 | 63.2 | 55.1 | 47.6 | 31.7 | 55.2 | | | | 91.5 | 85.0 | 66.8 | 54.7 | 38.3 | 23.9 | 54.4 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| MST | 83.8 | 83.8 | 73.9 | 60.1 | 49.0 | 35.2 | 60.4 |
| OA-MST | 86.2 | 86.4 | 77.9 | 65.5 | 52.3 | 38.1 | 63.6 | | 0 |
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