premise string | hypothesis string | label int64 |
|---|---|---|
| Ground-truthDataset | OurSystem(P/R/F) | Re-trainedBaseline<br>(P/R/F) |
| --- | --- | --- |
| GT-Text-City | 0.5207/0.5050/0.5116 | 0.9855/0.1965/0.3225 | | | GT-Text-State | 0.7852/0.6887/0.7310 | 0.64/0.0598/0.1032 |
| --- | --- | --- |
| GT-Title-City | 0.5374/0.5524/0.5406 | 0.8633/0.1651/0.2685 |
| GT-Text-Name | 0.7201/0.5850/0.6388 | 1/0.2103/0.3351 |
| GT-Text-Age | 0.8993/0.9156/0.9068 | 0.9102/0.7859/0.8412 |
| Average | 0.6925/0.6493/0.6658 | 0.8798/0.2835/0.3741 | | 1 |
| Ground-truthDataset | OurSystem(P/R/F) | Re-trainedBaseline<br>(P/R/F) |
| --- | --- | --- |
| GT-Text-City | 0.5207/0.5050/0.5116 | 0.9855/0.1965/0.3225 | | | | MKCF | UT | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Dataset | MOTA | MOTP | MOTA | MOTP | | | | |
| | ViBe | Ours | ViBe | Ours | ViBe | Ours | ViBe | Ours |
| Sherbrooke | 0.317 | 0.523 | 0.553 | 0.576 | 0.404 | 0.690 | 0.576 | 0.590 |
| Rene-Levesque | 0.334 | 0.424 | 0.5309 | 0.660 | 0.565 | 0.613 | 0.582 | 0.705 |
| Rouen | 0.501 | 0.629 | 0.582 | 0.600 | 0.696 | 0.670 | 0.617 | 0.620 |
| St-Marc | 0.463 | 0.534 | 0.652 | 0.651 | 0.638 | 0.653 | 0.691 | 0.682 | | 0 |
| Ground-truthDataset | OurSystem(P/R/F) | Re-trainedBaseline<br>(P/R/F) |
| --- | --- | --- |
| GT-Text-City | 0.5207/0.5050/0.5116 | 0.9855/0.1965/0.3225 |
| GT-Text-State | 0.7852/0.6887/0.7310 | 0.64/0.0598/0.1032 | | | GT-Title-City | 0.5374/0.5524/0.5406 | 0.8633/0.1651/0.2685 |
| --- | --- | --- |
| GT-Text-Name | 0.7201/0.5850/0.6388 | 1/0.2103/0.3351 |
| GT-Text-Age | 0.8993/0.9156/0.9068 | 0.9102/0.7859/0.8412 |
| Average | 0.6925/0.6493/0.6658 | 0.8798/0.2835/0.3741 | | 1 |
| Ground-truthDataset | OurSystem(P/R/F) | Re-trainedBaseline<br>(P/R/F) |
| --- | --- | --- |
| GT-Text-City | 0.5207/0.5050/0.5116 | 0.9855/0.1965/0.3225 |
| GT-Text-State | 0.7852/0.6887/0.7310 | 0.64/0.0598/0.1032 | | | Sherbrooke | 0.317 | 0.523 | 0.553 | 0.576 | 0.404 | 0.690 | 0.576 | 0.590 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Rene-Levesque | 0.334 | 0.424 | 0.5309 | 0.660 | 0.565 | 0.613 | 0.582 | 0.705 |
| Rouen | 0.501 | 0.629 | 0.582 | 0.600 | 0.696 | 0.670 | 0.617 | 0.620 |
| St-Marc | 0.463 | 0.534 | 0.652 | 0.651 | 0.638 | 0.653 | 0.691 | 0.682 | | 0 |
| network | RM | NM | CM | AvgC | ARL | AvgS |
| --- | --- | --- | --- | --- | --- | --- |
| amazon0302 | 0.25 | 0.82 | 0.79 | 0.18 | 5.86 | 19.95 |
| amazon0312 | 0.31 | 0.8 | 0.73 | 0.24 | 8.77 | 26.29 |
| amazon0505 | 0.31 | 0.76 | 0.73 | 0.24 | 8.86 | 26.42 |
| amazon0601 | 0.32 | 0.74 | 0.73 | 0.24 | 8.95 | 26.96 |
| citarnetminer | 0.06 | 0.65 | 0.63 | 0.42 | 6.63 | 16.8 |
| cithepph | 0.25 | 0.56 | 0.55 | 0.48 | 18.5 | 28.7 |
| cithepth | 0.27 | 0.53 | 0.59 | 0.42 | 18.2 | 31.6 |
| citpatents | 0.08 | 0.76 | 0.59 | 0.45 | 8.95 | 18.6 |
| colastroph | 0.34 | 0.51 | 0.63 | 0.39 | 14 | 22.7 |
| colcondmat | 0.29 | 0.64 | 0.74 | 0.32 | 6.75 | 18.3 |
| colgrqc | 0.31 | 0.79 | 0.83 | 0.33 | 5 | 17.7 |
| colhepph | 0.42 | 0.58 | 0.71 | 0.33 | 11 | 19.9 |
| colhepth | 0.19 | 0.69 | 0.75 | 0.33 | 5.4 | 16.7 |
| emailenron | 0.18 | 0.5 | 0.57 | 0.47 | 9.34 | 49.1 | | | emaileuall | 0.01 | 0.73 | 0.66 | 0.46 | 3.98 | 409 |
| --- | --- | --- | --- | --- | --- | --- |
| football | 0.17 | 0.57 | 0.88 | 0.14 | 7.2 | 20.9 |
| livejournal | 0.19 | -1 | 0.53 | 0.48 | 15.2 | 19.3 |
| p2p4 | 0.007 | 0.38 | 0.53 | 0.6 | 8.2 | 11.9 |
| p2p5 | 0.006 | 0.4 | 0.54 | 0.59 | 8.1 | 12.6 |
| p2p6 | 0.006 | 0.39 | 0.54 | 0.59 | 8.1 | 12.5 |
| p2p8 | 0.015 | 0.46 | 0.58 | 0.54 | 7.4 | 12.7 |
| p2p9 | 0.014 | 0.46 | 0.58 | 0.54 | 7.3 | 12.5 |
| p2p24 | 0.002 | 0.47 | 0.62 | 0.48 | 5.9 | 11.1 |
| p2p25 | 0.005 | 0.49 | 0.63 | 0.47 | 5.8 | 11.5 |
| p2p30 | 0.005 | 0.5 | 0.62 | 0.46 | 5.8 | 11.3 |
| p2p31 | 0.003 | 0.5 | 0.63 | 0.46 | 5.7 | 11 |
| roadnetca | 0.04 | 0.99 | 0.93 | 0.087 | 3.67 | 26.7 |
| roadnetpa | 0.04 | 0.99 | 0.93 | 0.087 | 3.68 | 26.9 |
| roadnettx | 0.04 | 0.99 | 0.93 | 0.1 | 3.63 | 26.2 |
| vikivote | 0.002 | -1 | 0.58 | 0.5 | 4.89 | 496 |
| webberkstan | 0.54 | 0.91 | 0.65 | 0.32 | 9 | 44.4 |
| webgoogle | 0.39 | 0.92 | 0.79 | 0.17 | 6.68 | 30.3 |
| webnotredame | 0.35 | 0.93 | 0.76 | 0.16 | 5 | 88.2 |
| webstanford | 0.47 | 0.88 | 0.65 | 0.35 | 7.9 | 40.8 | | 1 |
| network | RM | NM | CM | AvgC | ARL | AvgS |
| --- | --- | --- | --- | --- | --- | --- |
| amazon0302 | 0.25 | 0.82 | 0.79 | 0.18 | 5.86 | 19.95 |
| amazon0312 | 0.31 | 0.8 | 0.73 | 0.24 | 8.77 | 26.29 |
| amazon0505 | 0.31 | 0.76 | 0.73 | 0.24 | 8.86 | 26.42 |
| amazon0601 | 0.32 | 0.74 | 0.73 | 0.24 | 8.95 | 26.96 |
| citarnetminer | 0.06 | 0.65 | 0.63 | 0.42 | 6.63 | 16.8 |
| cithepph | 0.25 | 0.56 | 0.55 | 0.48 | 18.5 | 28.7 |
| cithepth | 0.27 | 0.53 | 0.59 | 0.42 | 18.2 | 31.6 |
| citpatents | 0.08 | 0.76 | 0.59 | 0.45 | 8.95 | 18.6 |
| colastroph | 0.34 | 0.51 | 0.63 | 0.39 | 14 | 22.7 |
| colcondmat | 0.29 | 0.64 | 0.74 | 0.32 | 6.75 | 18.3 |
| colgrqc | 0.31 | 0.79 | 0.83 | 0.33 | 5 | 17.7 |
| colhepph | 0.42 | 0.58 | 0.71 | 0.33 | 11 | 19.9 |
| colhepth | 0.19 | 0.69 | 0.75 | 0.33 | 5.4 | 16.7 |
| emailenron | 0.18 | 0.5 | 0.57 | 0.47 | 9.34 | 49.1 | | | Network | nC | Smin | R@50 | R@100 | Model | Speed | Network | nC | Smin | R@50 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| PNet | 1 | 16 | 0.9604 | 0.9712 | 28KB | 25.17FPS | APN24 | 3 | 16 | 0.9920 |
| PNet | 1 | 20 | 0.9557 | 0.9700 | 28KB | 33.75FPS | APN24 | 3 | 20 | 0.9898 |
| PNet | 1 | 24 | 0.9540 | 0.9673 | 28KB | 43.15FPS | APN24 | 3 | 24 | 0.9851 |
| APN24 | 1 | 16 | 0.9872 | 0.9910 | 360KB | 22.91FPS | APN12 | 2 | 16 | 0.9598 |
| APN24 | 1 | 20 | 0.9860 | 0.9882 | 360KB | 32.63FPS | APN12 | 2 | 20 | 0.9484 |
| APN24 | 1 | 24 | 0.9825 | 0.9856 | 360KB | 43.39FPS | APN12 | 2 | 24 | 0.9354 |
| APN24 | 2 | 16 | 0.9907 | 0.9946 | 360KB | 20.82FPS | APN24(S) | 2 | 16 | 0.9760 |
| APN24 | 2 | 20 | 0.9888 | 0.9921 | 360KB | 29.68FPS | APN24(S) | 2 | 20 | 0.9604 |
| APN24 | 2 | 24 | 0.9859 | 0.9901 | 360KB | 38.02FPS | APN24(S) | 2 | 24 | 0.9564 | | 0 |
| network | RM | NM | CM | AvgC | ARL | AvgS |
| --- | --- | --- | --- | --- | --- | --- |
| amazon0302 | 0.25 | 0.82 | 0.79 | 0.18 | 5.86 | 19.95 |
| amazon0312 | 0.31 | 0.8 | 0.73 | 0.24 | 8.77 | 26.29 |
| amazon0505 | 0.31 | 0.76 | 0.73 | 0.24 | 8.86 | 26.42 |
| amazon0601 | 0.32 | 0.74 | 0.73 | 0.24 | 8.95 | 26.96 |
| citarnetminer | 0.06 | 0.65 | 0.63 | 0.42 | 6.63 | 16.8 |
| cithepph | 0.25 | 0.56 | 0.55 | 0.48 | 18.5 | 28.7 |
| cithepth | 0.27 | 0.53 | 0.59 | 0.42 | 18.2 | 31.6 |
| citpatents | 0.08 | 0.76 | 0.59 | 0.45 | 8.95 | 18.6 |
| colastroph | 0.34 | 0.51 | 0.63 | 0.39 | 14 | 22.7 |
| colcondmat | 0.29 | 0.64 | 0.74 | 0.32 | 6.75 | 18.3 |
| colgrqc | 0.31 | 0.79 | 0.83 | 0.33 | 5 | 17.7 |
| colhepph | 0.42 | 0.58 | 0.71 | 0.33 | 11 | 19.9 |
| colhepth | 0.19 | 0.69 | 0.75 | 0.33 | 5.4 | 16.7 |
| emailenron | 0.18 | 0.5 | 0.57 | 0.47 | 9.34 | 49.1 |
| emaileuall | 0.01 | 0.73 | 0.66 | 0.46 | 3.98 | 409 |
| football | 0.17 | 0.57 | 0.88 | 0.14 | 7.2 | 20.9 |
| livejournal | 0.19 | -1 | 0.53 | 0.48 | 15.2 | 19.3 |
| p2p4 | 0.007 | 0.38 | 0.53 | 0.6 | 8.2 | 11.9 |
| p2p5 | 0.006 | 0.4 | 0.54 | 0.59 | 8.1 | 12.6 |
| p2p6 | 0.006 | 0.39 | 0.54 | 0.59 | 8.1 | 12.5 |
| p2p8 | 0.015 | 0.46 | 0.58 | 0.54 | 7.4 | 12.7 |
| p2p9 | 0.014 | 0.46 | 0.58 | 0.54 | 7.3 | 12.5 |
| p2p24 | 0.002 | 0.47 | 0.62 | 0.48 | 5.9 | 11.1 |
| p2p25 | 0.005 | 0.49 | 0.63 | 0.47 | 5.8 | 11.5 |
| p2p30 | 0.005 | 0.5 | 0.62 | 0.46 | 5.8 | 11.3 |
| p2p31 | 0.003 | 0.5 | 0.63 | 0.46 | 5.7 | 11 |
| roadnetca | 0.04 | 0.99 | 0.93 | 0.087 | 3.67 | 26.7 |
| roadnetpa | 0.04 | 0.99 | 0.93 | 0.087 | 3.68 | 26.9 |
| roadnettx | 0.04 | 0.99 | 0.93 | 0.1 | 3.63 | 26.2 |
| vikivote | 0.002 | -1 | 0.58 | 0.5 | 4.89 | 496 |
| webberkstan | 0.54 | 0.91 | 0.65 | 0.32 | 9 | 44.4 | | | webgoogle | 0.39 | 0.92 | 0.79 | 0.17 | 6.68 | 30.3 |
| --- | --- | --- | --- | --- | --- | --- |
| webnotredame | 0.35 | 0.93 | 0.76 | 0.16 | 5 | 88.2 |
| webstanford | 0.47 | 0.88 | 0.65 | 0.35 | 7.9 | 40.8 | | 1 |
| network | RM | NM | CM | AvgC | ARL | AvgS |
| --- | --- | --- | --- | --- | --- | --- |
| amazon0302 | 0.25 | 0.82 | 0.79 | 0.18 | 5.86 | 19.95 |
| amazon0312 | 0.31 | 0.8 | 0.73 | 0.24 | 8.77 | 26.29 |
| amazon0505 | 0.31 | 0.76 | 0.73 | 0.24 | 8.86 | 26.42 |
| amazon0601 | 0.32 | 0.74 | 0.73 | 0.24 | 8.95 | 26.96 |
| citarnetminer | 0.06 | 0.65 | 0.63 | 0.42 | 6.63 | 16.8 |
| cithepph | 0.25 | 0.56 | 0.55 | 0.48 | 18.5 | 28.7 |
| cithepth | 0.27 | 0.53 | 0.59 | 0.42 | 18.2 | 31.6 |
| citpatents | 0.08 | 0.76 | 0.59 | 0.45 | 8.95 | 18.6 |
| colastroph | 0.34 | 0.51 | 0.63 | 0.39 | 14 | 22.7 |
| colcondmat | 0.29 | 0.64 | 0.74 | 0.32 | 6.75 | 18.3 |
| colgrqc | 0.31 | 0.79 | 0.83 | 0.33 | 5 | 17.7 |
| colhepph | 0.42 | 0.58 | 0.71 | 0.33 | 11 | 19.9 |
| colhepth | 0.19 | 0.69 | 0.75 | 0.33 | 5.4 | 16.7 |
| emailenron | 0.18 | 0.5 | 0.57 | 0.47 | 9.34 | 49.1 |
| emaileuall | 0.01 | 0.73 | 0.66 | 0.46 | 3.98 | 409 |
| football | 0.17 | 0.57 | 0.88 | 0.14 | 7.2 | 20.9 |
| livejournal | 0.19 | -1 | 0.53 | 0.48 | 15.2 | 19.3 |
| p2p4 | 0.007 | 0.38 | 0.53 | 0.6 | 8.2 | 11.9 |
| p2p5 | 0.006 | 0.4 | 0.54 | 0.59 | 8.1 | 12.6 |
| p2p6 | 0.006 | 0.39 | 0.54 | 0.59 | 8.1 | 12.5 |
| p2p8 | 0.015 | 0.46 | 0.58 | 0.54 | 7.4 | 12.7 |
| p2p9 | 0.014 | 0.46 | 0.58 | 0.54 | 7.3 | 12.5 |
| p2p24 | 0.002 | 0.47 | 0.62 | 0.48 | 5.9 | 11.1 |
| p2p25 | 0.005 | 0.49 | 0.63 | 0.47 | 5.8 | 11.5 |
| p2p30 | 0.005 | 0.5 | 0.62 | 0.46 | 5.8 | 11.3 |
| p2p31 | 0.003 | 0.5 | 0.63 | 0.46 | 5.7 | 11 |
| roadnetca | 0.04 | 0.99 | 0.93 | 0.087 | 3.67 | 26.7 |
| roadnetpa | 0.04 | 0.99 | 0.93 | 0.087 | 3.68 | 26.9 |
| roadnettx | 0.04 | 0.99 | 0.93 | 0.1 | 3.63 | 26.2 |
| vikivote | 0.002 | -1 | 0.58 | 0.5 | 4.89 | 496 |
| webberkstan | 0.54 | 0.91 | 0.65 | 0.32 | 9 | 44.4 | | | APN24 | 1 | 16 | 0.9872 | 0.9910 | 360KB | 22.91FPS | APN12 | 2 | 16 | 0.9598 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| APN24 | 1 | 20 | 0.9860 | 0.9882 | 360KB | 32.63FPS | APN12 | 2 | 20 | 0.9484 |
| APN24 | 1 | 24 | 0.9825 | 0.9856 | 360KB | 43.39FPS | APN12 | 2 | 24 | 0.9354 |
| APN24 | 2 | 16 | 0.9907 | 0.9946 | 360KB | 20.82FPS | APN24(S) | 2 | 16 | 0.9760 |
| APN24 | 2 | 20 | 0.9888 | 0.9921 | 360KB | 29.68FPS | APN24(S) | 2 | 20 | 0.9604 |
| APN24 | 2 | 24 | 0.9859 | 0.9901 | 360KB | 38.02FPS | APN24(S) | 2 | 24 | 0.9564 | | 0 |
| | Max.length(words) | | | |
| --- | --- | --- | --- | --- |
| Preferencemethod | 8 | 12 | 16 | ∞ |
| (1-best) | 28.3 | 30.4 | 31.9 | 33.7 |
| highest-in-coverage | 26.3 | 27.4 | 30.1 | 32.2 |
| N-gram/highest-in-coverage | 26.1 | 27.1 | 29.9 | 31.7 |
| recognizer+N-gram | 25.3 | 27.8 | 29.7 | 31.6 | | | recognizer+linguisticKSs | 23.3 | 24.8 | 27.9 | 30.0 |
| --- | --- | --- | --- | --- |
| allavailableKSs | 23.5 | 25.4 | 28.1 | 29.9 |
| (lowestWEin10-best) | 12.6 | 13.2 | 14.5 | 15.8 |
| (#utterancesin10-best) | 442 | 710 | 800 | 843 |
| (#utterances) | 506 | 818 | 936 | 1001 | | 1 |
| | Max.length(words) | | | |
| --- | --- | --- | --- | --- |
| Preferencemethod | 8 | 12 | 16 | ∞ |
| (1-best) | 28.3 | 30.4 | 31.9 | 33.7 |
| highest-in-coverage | 26.3 | 27.4 | 30.1 | 32.2 |
| N-gram/highest-in-coverage | 26.1 | 27.1 | 29.9 | 31.7 |
| recognizer+N-gram | 25.3 | 27.8 | 29.7 | 31.6 | | | | Max.length(words) | | | |
| --- | --- | --- | --- | --- |
| Preferencemethod | 8 | 12 | 16 | ∞ |
| (1-best) | 28.3 | 30.4 | 31.9 | 33.7 |
| highest-in-coverage | 26.3 | 27.4 | 30.1 | 32.2 |
| N-gram/highest-in-coverage | 26.1 | 27.1 | 29.9 | 31.7 |
| recognizer+N-gram | 25.3 | 27.8 | 29.7 | 31.6 |
| recognizer+linguisticKSs | 23.3 | 24.8 | 27.9 | 30.0 |
| allavailableKSs | 23.5 | 25.4 | 28.1 | 29.9 |
| (lowestWEin10-best) | 12.6 | 13.2 | 14.5 | 15.8 |
| (#utterancesin10-best) | 442 | 710 | 800 | 843 |
| (#utterances) | 506 | 818 | 936 | 1001 | | 0 |
| | Max.length(words) | | | |
| --- | --- | --- | --- | --- |
| Preferencemethod | 8 | 12 | 16 | ∞ |
| (1-best) | 28.3 | 30.4 | 31.9 | 33.7 | | | highest-in-coverage | 26.3 | 27.4 | 30.1 | 32.2 |
| --- | --- | --- | --- | --- |
| N-gram/highest-in-coverage | 26.1 | 27.1 | 29.9 | 31.7 |
| recognizer+N-gram | 25.3 | 27.8 | 29.7 | 31.6 |
| recognizer+linguisticKSs | 23.3 | 24.8 | 27.9 | 30.0 |
| allavailableKSs | 23.5 | 25.4 | 28.1 | 29.9 |
| (lowestWEin10-best) | 12.6 | 13.2 | 14.5 | 15.8 |
| (#utterancesin10-best) | 442 | 710 | 800 | 843 |
| (#utterances) | 506 | 818 | 936 | 1001 | | 1 |
| | Max.length(words) | | | |
| --- | --- | --- | --- | --- |
| Preferencemethod | 8 | 12 | 16 | ∞ |
| (1-best) | 28.3 | 30.4 | 31.9 | 33.7 | | | recognizer+N-gram | 25.3 | 27.8 | 29.7 | 31.6 |
| --- | --- | --- | --- | --- |
| recognizer+linguisticKSs | 23.3 | 24.8 | 27.9 | 30.0 |
| allavailableKSs | 23.5 | 25.4 | 28.1 | 29.9 |
| (lowestWEin10-best) | 12.6 | 13.2 | 14.5 | 15.8 |
| (#utterancesin10-best) | 442 | 710 | 800 | 843 |
| (#utterances) | 506 | 818 | 936 | 1001 | | 0 |
| setting-1 |
| --- |
| 54.2 |
| 75.5 |
| 76.5 | | | 79.3 |
| --- |
| 80.5 |
| 83.6 |
| 85.1 |
| 86.7 | | 1 |
| setting-1 |
| --- |
| 54.2 |
| 75.5 |
| 76.5 | | | CS |
| --- |
| 38.6 |
| 50.1 |
| 60.2 |
| 59.1 |
| 62.9 |
| 69.2 |
| 73.4 |
| 74.4 |
| 74.6 |
| 79.6 |
| 80.0 |
| 77.0 |
| 79.8 |
| 87.9 |
| 88.4 |
| 89.1 | | 0 |
| setting-1 |
| --- |
| 54.2 |
| 75.5 | | | 76.5 |
| --- |
| 79.3 |
| 80.5 |
| 83.6 |
| 85.1 |
| 86.7 | | 1 |
| setting-1 |
| --- |
| 54.2 |
| 75.5 | | | 73.4 |
| --- |
| 74.4 |
| 74.6 |
| 79.6 |
| 80.0 |
| 77.0 |
| 79.8 |
| 87.9 |
| 88.4 |
| 89.1 | | 0 |
| Algorithm | Train:Flight1,Test:Flight3 | Train:Flight3,Test:Flight1 |
| --- | --- | --- |
| MI-HE(HD) | 0.552 | 0.792 |
| MI-HE(ACE) | 0.442 | 0.699 | | | eFUMI(ACE) | 0.437 | 0.746 |
| --- | --- | --- |
| eFUMI(HD) | 0.417 | 0.765 |
| EM-DD(ACE) | 0.420 | 0.749 |
| mi-SVM | 0.353 | 0.333 | | 1 |
| Algorithm | Train:Flight1,Test:Flight3 | Train:Flight3,Test:Flight1 |
| --- | --- | --- |
| MI-HE(HD) | 0.552 | 0.792 |
| MI-HE(ACE) | 0.442 | 0.699 | | | V | H | E | Data | Train,Val,Test |
| --- | --- | --- | --- | --- |
| 10 | 128 | 21 | 9k,1k,10k | 0.9150,0.8662,0.8660 |
| 100 | 128 | 130 | 9k,1k,10k | 0.7570,0.6670,0.6599 |
| 100 | 128 | 122 | 135k,15k,10k | 0.9909,0.9985,0.9982 |
| 100 | 256 | 21 | 135k,15k,10k | 0.9897,0.9987,0.9988 |
| 1000 | 256 | 107 | 135k,15k,10k | 0.9570,0.9405,0.9404 | | 0 |
| Algorithm | Train:Flight1,Test:Flight3 | Train:Flight3,Test:Flight1 |
| --- | --- | --- |
| MI-HE(HD) | 0.552 | 0.792 |
| MI-HE(ACE) | 0.442 | 0.699 |
| eFUMI(ACE) | 0.437 | 0.746 | | | eFUMI(HD) | 0.417 | 0.765 |
| --- | --- | --- |
| EM-DD(ACE) | 0.420 | 0.749 |
| mi-SVM | 0.353 | 0.333 | | 1 |
| Algorithm | Train:Flight1,Test:Flight3 | Train:Flight3,Test:Flight1 |
| --- | --- | --- |
| MI-HE(HD) | 0.552 | 0.792 |
| MI-HE(ACE) | 0.442 | 0.699 |
| eFUMI(ACE) | 0.437 | 0.746 | | | 100 | 128 | 130 | 9k,1k,10k | 0.7570,0.6670,0.6599 |
| --- | --- | --- | --- | --- |
| 100 | 128 | 122 | 135k,15k,10k | 0.9909,0.9985,0.9982 |
| 100 | 256 | 21 | 135k,15k,10k | 0.9897,0.9987,0.9988 |
| 1000 | 256 | 107 | 135k,15k,10k | 0.9570,0.9405,0.9404 | | 0 |
| Peak | Method | Bridge | Camera | Flag | House | Peppers | Saturn | Swoosh | Average |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 4 | SPDA | 20.55 | 21.87 | 26.75 | 26.02 | 22.02 | 31.03 | 32.67 | 25.85 |
| 0.367 | 0.673 | 0.883 | 0.753 | 0.699 | 0.853 | 0.960 | 0.741 | | |
| Our | 20.92 | 22.84 | 28.35 | 27.15 | 23.68 | 31.43 | 33.71 | 26.87 | |
| 0.398 | 0.664 | 0.905 | 0.783 | 0.726 | 0.905 | 0.969 | 0.764 | | |
| Impr. | 0.37 | 0.97 | 1.60 | 1.13 | 1.66 | 0.40 | 1.03 | 1.02 | |
| 0.031 | -0.009 | 0.023 | 0.031 | 0.027 | 0.052 | 0.009 | 0.023 | | |
| 2 | SPDA | 21.14 | 21.49 | 25.41 | 25.07 | 21.17 | 29.36 | 29.24 | 24.55 |
| 0.352 | 0.651 | 0.864 | 0.716 | 0.662 | 0.820 | 0.893 | 0.708 | | |
| Our | 20.22 | 21.93 | 26.30 | 25.63 | 21.77 | 29.41 | 30.15 | 25.06 | | | | 0.362 | 0.605 | 0.894 | 0.749 | 0.684 | 0.871 | 0.930 | 0.728 | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Impr. | 0.08 | 0.43 | 0.89 | 0.56 | 0.60 | 0.05 | 0.91 | 0.50 | |
| 0.010 | -0.045 | 0.029 | 0.033 | 0.022 | 0.050 | 0.038 | 0.020 | | |
| 1 | SPDA | 19.21 | 20.17 | 22.69 | 22.62 | 19.94 | 27.02 | 26.41 | 22.58 |
| 0.304 | 0.587 | 0.821 | 0.632 | 0.609 | 0.778 | 0.823 | 0.650 | | |
| Our | 19.24 | 20.46 | 22.36 | 23.20 | 19.99 | 26.93 | 27.37 | 22.79 | |
| 0.315 | 0.537 | 0.819 | 0.677 | 0.621 | 0.826 | 0.880 | 0.668 | | |
| Impr. | 0.03 | 0.28 | -0.33 | 0.57 | 0.04 | -0.09 | 0.96 | 0.21 | |
| 0.011 | -0.049 | -0.001 | 0.045 | 0.013 | 0.048 | 0.056 | 0.018 | | |
| 0.5 | SPDAbin | 18.58 | 18.94 | 19.39 | 21.23 | 18.60 | 25.89 | 26.56 | 21.31 |
| 0.273 | 0.548 | 0.691 | 0.627 | 0.543 | 0.756 | 0.910 | 0.621 | | |
| Our+bin | 18.69 | 19.68 | 19.63 | 21.72 | 18.92 | 26.37 | 27.55 | 21.79 | |
| 0.285 | 0.558 | 0.703 | 0.656 | 0.571 | 0.835 | 0.933 | 0.649 | | |
| Impr. | 0.10 | 0.74 | 0.24 | 0.49 | 0.32 | 0.48 | 0.98 | 0.48 | |
| 0.012 | 0.010 | 0.012 | 0.030 | 0.028 | 0.079 | 0.023 | 0.028 | | |
| 0.2 | SPDAbin | 17.88 | 17.97 | 18.60 | 19.59 | 17.57 | 24.03 | 23.70 | 19.91 |
| 0.253 | 0.478 | 0.670 | 0.521 | 0.492 | 0.691 | 0.787 | 0.556 | | |
| Our+bin | 17.83 | 18.29 | 18.58 | 20.16 | 17.56 | 24.09 | 24.88 | 20.20 | |
| 0.250 | 0.500 | 0.673 | 0.607 | 0.523 | 0.813 | 0.893 | 0.609 | | |
| Impr. | -0.05 | 0.31 | -0.02 | 0.58 | -0.01 | 0.05 | 1.17 | 0.29 | |
| -0.003 | 0.023 | 0.003 | 0.086 | 0.031 | 0.122 | 0.106 | 0.053 | | |
| 0.1 | SPDAbin | 17.04 | 16.80 | 16.22 | 18.78 | 16.29 | 21.94 | 21.99 | 18.44 |
| 0.222 | 0.493 | 0.578 | 0.567 | 0.477 | 0.656 | 0.827 | 0.546 | | |
| Our+bin | 17.10 | 17.16 | 16.03 | 18.91 | 16.28 | 21.72 | 22.38 | 18.51 | |
| 0.227 | 0.462 | 0.592 | 0.590 | 0.491 | 0.787 | 0.874 | 0.575 | | |
| Impr. | 0.06 | 0.36 | -0.19 | 0.13 | -0.01 | -0.11 | 0.38 | 0.07 | |
| 0.005 | -0.030 | 0.014 | 0.024 | 0.014 | 0.131 | 0.047 | 0.029 | | | | 1 |
| Peak | Method | Bridge | Camera | Flag | House | Peppers | Saturn | Swoosh | Average |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 4 | SPDA | 20.55 | 21.87 | 26.75 | 26.02 | 22.02 | 31.03 | 32.67 | 25.85 |
| 0.367 | 0.673 | 0.883 | 0.753 | 0.699 | 0.853 | 0.960 | 0.741 | | |
| Our | 20.92 | 22.84 | 28.35 | 27.15 | 23.68 | 31.43 | 33.71 | 26.87 | |
| 0.398 | 0.664 | 0.905 | 0.783 | 0.726 | 0.905 | 0.969 | 0.764 | | |
| Impr. | 0.37 | 0.97 | 1.60 | 1.13 | 1.66 | 0.40 | 1.03 | 1.02 | |
| 0.031 | -0.009 | 0.023 | 0.031 | 0.027 | 0.052 | 0.009 | 0.023 | | |
| 2 | SPDA | 21.14 | 21.49 | 25.41 | 25.07 | 21.17 | 29.36 | 29.24 | 24.55 |
| 0.352 | 0.651 | 0.864 | 0.716 | 0.662 | 0.820 | 0.893 | 0.708 | | |
| Our | 20.22 | 21.93 | 26.30 | 25.63 | 21.77 | 29.41 | 30.15 | 25.06 | | | | | Gradual | Sharp | | | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P | R |
| LNA | 198 | 147 | 11 | 51 | 0.93 | 0.742 | 0.826 | 45 | 31 | 26 | 14 | 0.544 | 0.689 |
| NFC | 77 | 57 | 11 | 20 | 0.838 | 0.74 | 0.786 | 121 | 115 | 8 | 6 | 0.935 | 0.95 |
| NEC | 94 | 88 | 3 | 6 | 0.967 | 0.936 | 0.951 | 74 | 57 | 5 | 17 | 0.919 | 0.77 |
| HNA | 124 | 107 | 4 | 17 | 0.964 | 0.863 | 0.911 | 24 | 21 | 8 | 3 | 0.724 | 0.875 |
| 3PGC | 228 | 171 | 32 | 57 | 0.842 | 0.75 | 0.794 | 132 | 112 | 48 | 20 | 0.7 | 0.848 |
| CLE | 123 | 98 | 22 | 25 | 0.817 | 0.797 | 0.807 | 244 | 236 | 33 | 8 | 0.877 | 0.967 |
| CDC | 302 | 231 | 27 | 71 | 0.895 | 0.765 | 0.825 | 139 | 129 | 65 | 10 | 0.665 | 0.928 |
| 8NNE | 214 | 184 | 44 | 30 | 0.807 | 0.86 | 0.833 | 424 | 418 | 36 | 6 | 0.921 | 0.986 |
| CLE | 37 | 28 | 7 | 9 | 0.8 | 0.757 | 0.778 | 57 | 54 | 7 | 3 | 0.885 | 0.947 |
| 5PGC | 190 | 155 | 44 | 35 | 0.779 | 0.816 | 0.797 | 81 | 75 | 30 | 6 | 0.714 | 0.926 |
| MNE | 181 | 156 | 11 | 25 | 0.934 | 0.862 | 0.897 | 339 | 323 | 21 | 16 | 0.939 | 0.953 |
| CLE | 27 | 25 | 4 | 2 | 0.862 | 0.926 | 0.893 | 44 | 42 | 0 | 2 | 1 | 0.955 |
| 1NNE | 146 | 134 | 11 | 12 | 0.924 | 0.918 | 0.921 | 120 | 118 | 5 | 2 | 0.959 | 0.983 |
| Total | 1941 | 1581 | 231 | 360 | 0.873 | 0.815 | 0.843 | 1844 | 1731 | 292 | 113 | 0.856 | 0.939 | | 0 |
| Peak | Method | Bridge | Camera | Flag | House | Peppers | Saturn | Swoosh | Average |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 4 | SPDA | 20.55 | 21.87 | 26.75 | 26.02 | 22.02 | 31.03 | 32.67 | 25.85 |
| 0.367 | 0.673 | 0.883 | 0.753 | 0.699 | 0.853 | 0.960 | 0.741 | | |
| Our | 20.92 | 22.84 | 28.35 | 27.15 | 23.68 | 31.43 | 33.71 | 26.87 | |
| 0.398 | 0.664 | 0.905 | 0.783 | 0.726 | 0.905 | 0.969 | 0.764 | | |
| Impr. | 0.37 | 0.97 | 1.60 | 1.13 | 1.66 | 0.40 | 1.03 | 1.02 | |
| 0.031 | -0.009 | 0.023 | 0.031 | 0.027 | 0.052 | 0.009 | 0.023 | | |
| 2 | SPDA | 21.14 | 21.49 | 25.41 | 25.07 | 21.17 | 29.36 | 29.24 | 24.55 |
| 0.352 | 0.651 | 0.864 | 0.716 | 0.662 | 0.820 | 0.893 | 0.708 | | |
| Our | 20.22 | 21.93 | 26.30 | 25.63 | 21.77 | 29.41 | 30.15 | 25.06 | |
| 0.362 | 0.605 | 0.894 | 0.749 | 0.684 | 0.871 | 0.930 | 0.728 | | |
| Impr. | 0.08 | 0.43 | 0.89 | 0.56 | 0.60 | 0.05 | 0.91 | 0.50 | |
| 0.010 | -0.045 | 0.029 | 0.033 | 0.022 | 0.050 | 0.038 | 0.020 | | |
| 1 | SPDA | 19.21 | 20.17 | 22.69 | 22.62 | 19.94 | 27.02 | 26.41 | 22.58 |
| 0.304 | 0.587 | 0.821 | 0.632 | 0.609 | 0.778 | 0.823 | 0.650 | | |
| Our | 19.24 | 20.46 | 22.36 | 23.20 | 19.99 | 26.93 | 27.37 | 22.79 | |
| 0.315 | 0.537 | 0.819 | 0.677 | 0.621 | 0.826 | 0.880 | 0.668 | | |
| Impr. | 0.03 | 0.28 | -0.33 | 0.57 | 0.04 | -0.09 | 0.96 | 0.21 | |
| 0.011 | -0.049 | -0.001 | 0.045 | 0.013 | 0.048 | 0.056 | 0.018 | | | | | 0.5 | SPDAbin | 18.58 | 18.94 | 19.39 | 21.23 | 18.60 | 25.89 | 26.56 | 21.31 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 0.273 | 0.548 | 0.691 | 0.627 | 0.543 | 0.756 | 0.910 | 0.621 | | |
| Our+bin | 18.69 | 19.68 | 19.63 | 21.72 | 18.92 | 26.37 | 27.55 | 21.79 | |
| 0.285 | 0.558 | 0.703 | 0.656 | 0.571 | 0.835 | 0.933 | 0.649 | | |
| Impr. | 0.10 | 0.74 | 0.24 | 0.49 | 0.32 | 0.48 | 0.98 | 0.48 | |
| 0.012 | 0.010 | 0.012 | 0.030 | 0.028 | 0.079 | 0.023 | 0.028 | | |
| 0.2 | SPDAbin | 17.88 | 17.97 | 18.60 | 19.59 | 17.57 | 24.03 | 23.70 | 19.91 |
| 0.253 | 0.478 | 0.670 | 0.521 | 0.492 | 0.691 | 0.787 | 0.556 | | |
| Our+bin | 17.83 | 18.29 | 18.58 | 20.16 | 17.56 | 24.09 | 24.88 | 20.20 | |
| 0.250 | 0.500 | 0.673 | 0.607 | 0.523 | 0.813 | 0.893 | 0.609 | | |
| Impr. | -0.05 | 0.31 | -0.02 | 0.58 | -0.01 | 0.05 | 1.17 | 0.29 | |
| -0.003 | 0.023 | 0.003 | 0.086 | 0.031 | 0.122 | 0.106 | 0.053 | | |
| 0.1 | SPDAbin | 17.04 | 16.80 | 16.22 | 18.78 | 16.29 | 21.94 | 21.99 | 18.44 |
| 0.222 | 0.493 | 0.578 | 0.567 | 0.477 | 0.656 | 0.827 | 0.546 | | |
| Our+bin | 17.10 | 17.16 | 16.03 | 18.91 | 16.28 | 21.72 | 22.38 | 18.51 | |
| 0.227 | 0.462 | 0.592 | 0.590 | 0.491 | 0.787 | 0.874 | 0.575 | | |
| Impr. | 0.06 | 0.36 | -0.19 | 0.13 | -0.01 | -0.11 | 0.38 | 0.07 | |
| 0.005 | -0.030 | 0.014 | 0.024 | 0.014 | 0.131 | 0.047 | 0.029 | | | | 1 |
| Peak | Method | Bridge | Camera | Flag | House | Peppers | Saturn | Swoosh | Average |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 4 | SPDA | 20.55 | 21.87 | 26.75 | 26.02 | 22.02 | 31.03 | 32.67 | 25.85 |
| 0.367 | 0.673 | 0.883 | 0.753 | 0.699 | 0.853 | 0.960 | 0.741 | | |
| Our | 20.92 | 22.84 | 28.35 | 27.15 | 23.68 | 31.43 | 33.71 | 26.87 | |
| 0.398 | 0.664 | 0.905 | 0.783 | 0.726 | 0.905 | 0.969 | 0.764 | | |
| Impr. | 0.37 | 0.97 | 1.60 | 1.13 | 1.66 | 0.40 | 1.03 | 1.02 | |
| 0.031 | -0.009 | 0.023 | 0.031 | 0.027 | 0.052 | 0.009 | 0.023 | | |
| 2 | SPDA | 21.14 | 21.49 | 25.41 | 25.07 | 21.17 | 29.36 | 29.24 | 24.55 |
| 0.352 | 0.651 | 0.864 | 0.716 | 0.662 | 0.820 | 0.893 | 0.708 | | |
| Our | 20.22 | 21.93 | 26.30 | 25.63 | 21.77 | 29.41 | 30.15 | 25.06 | |
| 0.362 | 0.605 | 0.894 | 0.749 | 0.684 | 0.871 | 0.930 | 0.728 | | |
| Impr. | 0.08 | 0.43 | 0.89 | 0.56 | 0.60 | 0.05 | 0.91 | 0.50 | |
| 0.010 | -0.045 | 0.029 | 0.033 | 0.022 | 0.050 | 0.038 | 0.020 | | |
| 1 | SPDA | 19.21 | 20.17 | 22.69 | 22.62 | 19.94 | 27.02 | 26.41 | 22.58 |
| 0.304 | 0.587 | 0.821 | 0.632 | 0.609 | 0.778 | 0.823 | 0.650 | | |
| Our | 19.24 | 20.46 | 22.36 | 23.20 | 19.99 | 26.93 | 27.37 | 22.79 | |
| 0.315 | 0.537 | 0.819 | 0.677 | 0.621 | 0.826 | 0.880 | 0.668 | | |
| Impr. | 0.03 | 0.28 | -0.33 | 0.57 | 0.04 | -0.09 | 0.96 | 0.21 | |
| 0.011 | -0.049 | -0.001 | 0.045 | 0.013 | 0.048 | 0.056 | 0.018 | | | | | LNA | 198 | 147 | 11 | 51 | 0.93 | 0.742 | 0.826 | 45 | 31 | 26 | 14 | 0.544 | 0.689 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| NFC | 77 | 57 | 11 | 20 | 0.838 | 0.74 | 0.786 | 121 | 115 | 8 | 6 | 0.935 | 0.95 |
| NEC | 94 | 88 | 3 | 6 | 0.967 | 0.936 | 0.951 | 74 | 57 | 5 | 17 | 0.919 | 0.77 |
| HNA | 124 | 107 | 4 | 17 | 0.964 | 0.863 | 0.911 | 24 | 21 | 8 | 3 | 0.724 | 0.875 |
| 3PGC | 228 | 171 | 32 | 57 | 0.842 | 0.75 | 0.794 | 132 | 112 | 48 | 20 | 0.7 | 0.848 |
| CLE | 123 | 98 | 22 | 25 | 0.817 | 0.797 | 0.807 | 244 | 236 | 33 | 8 | 0.877 | 0.967 |
| CDC | 302 | 231 | 27 | 71 | 0.895 | 0.765 | 0.825 | 139 | 129 | 65 | 10 | 0.665 | 0.928 |
| 8NNE | 214 | 184 | 44 | 30 | 0.807 | 0.86 | 0.833 | 424 | 418 | 36 | 6 | 0.921 | 0.986 |
| CLE | 37 | 28 | 7 | 9 | 0.8 | 0.757 | 0.778 | 57 | 54 | 7 | 3 | 0.885 | 0.947 |
| 5PGC | 190 | 155 | 44 | 35 | 0.779 | 0.816 | 0.797 | 81 | 75 | 30 | 6 | 0.714 | 0.926 |
| MNE | 181 | 156 | 11 | 25 | 0.934 | 0.862 | 0.897 | 339 | 323 | 21 | 16 | 0.939 | 0.953 |
| CLE | 27 | 25 | 4 | 2 | 0.862 | 0.926 | 0.893 | 44 | 42 | 0 | 2 | 1 | 0.955 |
| 1NNE | 146 | 134 | 11 | 12 | 0.924 | 0.918 | 0.921 | 120 | 118 | 5 | 2 | 0.959 | 0.983 |
| Total | 1941 | 1581 | 231 | 360 | 0.873 | 0.815 | 0.843 | 1844 | 1731 | 292 | 113 | 0.856 | 0.939 | | 0 |
| Methodµ=0.10.20.30.40.50.6 |
| --- |
| γ=2,β=1 | | | LMUW0.9170.8530.7690.7320.5910.486<br>LMW0.9310.8820.8170.7890.5990.444 |
| --- |
| CPUW0.8680.9010.8410.8680.6910.021<br>CPW0.8790.9000.9050.8560.8460.021 |
| OSUW0.6990.7030.7050.6940.6580.438<br>OSW0.7000.7040.7070.6950.6680.501 |
| γ=2,β=2 |
| LMUW0.8150.6330.6640.4280.5030.334<br>LMW0.8860.7040.6320.5190.4440.377 |
| CPUW0.8490.8930.8380.8090.7260.028<br>CPW0.9040.8520.8860.7590.7380.028 |
| OSUW0.6690.6370.6290.6330.5830.462<br>OSW0.6690.6370.6370.6290.6020.505 |
| γ=3,β=1 |
| LMUW0.9730.8670.8000.7730.6770.527<br>LMW0.9780.8720.8060.7390.7120.404 |
| CPUW0.9170.8880.8760.8750.7270.018<br>CPW0.9270.8920.8920.9130.7860.018 |
| OSUW0.7410.7110.7000.7120.7080.299<br>OSW0.7410.7120.7000.7120.7110.415 |
| γ=3,β=2 |
| LMUW0.9360.7880.6920.5630.5320.411<br>LMW0.9470.7450.7490.6330.5840.405 |
| CPUW0.8810.8920.9000.8850.8440.023<br>CPW0.9110.8750.8990.8890.7700.023 |
| OSUW0.6970.6720.6650.6710.6520.397<br>OSW0.6970.6720.6650.6720.6520.538 | | 1 |
| Methodµ=0.10.20.30.40.50.6 |
| --- |
| γ=2,β=1 | | | | n=70000 | n=90000 | n=110000 | n=130000 |
| --- | --- | --- | --- | --- |
| α1<br>β1<br>γ1 | 1.003105865295161<br>4.99550480505<br>1.006973943599736 | 1.004527508419694<br>4.996572933666054<br>1.005569625063884 | 1.005908384957321<br>4.996874637244825<br>1.005525834804714 | 1.004563178701584<br>4.997085464604526<br>1.005443736156998 |
| α2<br>β2<br>γ2 | 1.997899801933102<br>3.00924729807257<br>6.983912371495364 | 1.994761292346172<br>3.006009800104706<br>6.995712237697553 | 1.996505871342539<br>3.003001585321237<br>7.000067186843735 | 1.997080967404208<br>3.001073196705324<br>6.997260635821995 |
| α3<br>β3<br>γ3 | 2.992415975197417<br>3.996354421254385<br>2.011169554063575 | 2.991612914024596<br>3.997515526964327<br>2.008509722164336 | 2.992789808210174<br>3.997543539027272<br>2.00122548779379 | 2.994439000075413<br>3.998591070496656<br>2.002206053742553 |
| α4<br>β4<br>γ4 | 4.000763964265582<br>2.00318031010065<br>5.995614482020844 | 4.001485378474737<br>2.003537621477507<br>5.991712343275934 | 4.000474073657129<br>2.004098062824868<br>5.995947427021777 | 4.001167686028979<br>2.003664771868191<br>5.998250617490456 | | 0 |
| Methodµ=0.10.20.30.40.50.6 |
| --- |
| γ=2,β=1 |
| LMUW0.9170.8530.7690.7320.5910.486<br>LMW0.9310.8820.8170.7890.5990.444 |
| CPUW0.8680.9010.8410.8680.6910.021<br>CPW0.8790.9000.9050.8560.8460.021 |
| OSUW0.6990.7030.7050.6940.6580.438<br>OSW0.7000.7040.7070.6950.6680.501 |
| γ=2,β=2 |
| LMUW0.8150.6330.6640.4280.5030.334<br>LMW0.8860.7040.6320.5190.4440.377 |
| CPUW0.8490.8930.8380.8090.7260.028<br>CPW0.9040.8520.8860.7590.7380.028 |
| OSUW0.6690.6370.6290.6330.5830.462<br>OSW0.6690.6370.6370.6290.6020.505 |
| γ=3,β=1 | | | LMUW0.9730.8670.8000.7730.6770.527<br>LMW0.9780.8720.8060.7390.7120.404 |
| --- |
| CPUW0.9170.8880.8760.8750.7270.018<br>CPW0.9270.8920.8920.9130.7860.018 |
| OSUW0.7410.7110.7000.7120.7080.299<br>OSW0.7410.7120.7000.7120.7110.415 |
| γ=3,β=2 |
| LMUW0.9360.7880.6920.5630.5320.411<br>LMW0.9470.7450.7490.6330.5840.405 |
| CPUW0.8810.8920.9000.8850.8440.023<br>CPW0.9110.8750.8990.8890.7700.023 |
| OSUW0.6970.6720.6650.6710.6520.397<br>OSW0.6970.6720.6650.6720.6520.538 | | 1 |
| Methodµ=0.10.20.30.40.50.6 |
| --- |
| γ=2,β=1 |
| LMUW0.9170.8530.7690.7320.5910.486<br>LMW0.9310.8820.8170.7890.5990.444 |
| CPUW0.8680.9010.8410.8680.6910.021<br>CPW0.8790.9000.9050.8560.8460.021 |
| OSUW0.6990.7030.7050.6940.6580.438<br>OSW0.7000.7040.7070.6950.6680.501 |
| γ=2,β=2 |
| LMUW0.8150.6330.6640.4280.5030.334<br>LMW0.8860.7040.6320.5190.4440.377 |
| CPUW0.8490.8930.8380.8090.7260.028<br>CPW0.9040.8520.8860.7590.7380.028 |
| OSUW0.6690.6370.6290.6330.5830.462<br>OSW0.6690.6370.6370.6290.6020.505 |
| γ=3,β=1 | | | α3<br>β3<br>γ3 | 2.992415975197417<br>3.996354421254385<br>2.011169554063575 | 2.991612914024596<br>3.997515526964327<br>2.008509722164336 | 2.992789808210174<br>3.997543539027272<br>2.00122548779379 | 2.994439000075413<br>3.998591070496656<br>2.002206053742553 |
| --- | --- | --- | --- | --- |
| α4<br>β4<br>γ4 | 4.000763964265582<br>2.00318031010065<br>5.995614482020844 | 4.001485378474737<br>2.003537621477507<br>5.991712343275934 | 4.000474073657129<br>2.004098062824868<br>5.995947427021777 | 4.001167686028979<br>2.003664771868191<br>5.998250617490456 | | 0 |
| Method | Adapt | BBN | | |
| --- | --- | --- | --- | --- |
| Ma-F1 | Mi-F1 | Acc. | | |
| FIGER<br>HYENA<br>WSABIE<br>HLE<br>ProtoLE<br>Proto-HLE | NA<br>NA<br>NA<br>Y<br>N<br>Y<br>N<br>Y<br>N | 67.28<br>51.38<br>71.28<br>70.84<br>68.86<br>72.67<br>75.78<br>71.97<br>74.54 | 60.70<br>52.85<br>72.08<br>71.61<br>70.00<br>73.54<br>76.50<br>72.89<br>74.38 | 46.92<br>45.01<br>66.22<br>65.74<br>63.32<br>67.58<br>70.43<br>67.05<br>69.46 | | | | | OntoNotes | | |
| --- | --- | --- | --- | --- |
| FIGER<br>HYENA<br>WSABIE<br>HLE<br>ProtoLE<br>Proto-HLE | NA<br>NA<br>NA<br>Y<br>N<br>Y<br>N<br>Y<br>N | 58.77<br>47.65<br>62.03<br>61.54<br>59.52<br>60.90<br>65.91<br>62.71<br>68.23 | 52.37<br>43.97<br>55.83<br>49.16<br>54.01<br>54.68<br>59.08<br>56.64<br>61.27 | 38.01<br>26.56<br>43.61<br>43.25<br>41.60<br>42.82<br>46.94<br>44.81<br>49.30 |
| | | Wiki | | |
| FIGER<br>HYENA<br>WSABIE<br>HLE<br>ProtoLE<br>Proto-HLE | NA<br>NA<br>NA<br>Y<br>N<br>Y<br>N<br>Y<br>N | 68.28<br>45.51<br>67.97<br>67.09<br>65.29<br>66.96<br>68.06<br>67.85<br>66.61 | 64.71<br>43.80<br>64.49<br>65.65<br>62.53<br>65.78<br>66.53<br>65.74<br>65.29 | 47.37<br>30.67<br>48.28<br>47.01<br>45.19<br>49.18<br>53.54<br>50.27<br>50.45 | | 1 |
| Method | Adapt | BBN | | |
| --- | --- | --- | --- | --- |
| Ma-F1 | Mi-F1 | Acc. | | |
| FIGER<br>HYENA<br>WSABIE<br>HLE<br>ProtoLE<br>Proto-HLE | NA<br>NA<br>NA<br>Y<br>N<br>Y<br>N<br>Y<br>N | 67.28<br>51.38<br>71.28<br>70.84<br>68.86<br>72.67<br>75.78<br>71.97<br>74.54 | 60.70<br>52.85<br>72.08<br>71.61<br>70.00<br>73.54<br>76.50<br>72.89<br>74.38 | 46.92<br>45.01<br>66.22<br>65.74<br>63.32<br>67.58<br>70.43<br>67.05<br>69.46 | | | Object | Method | MaxF1 | Runtime[s] |
| --- | --- | --- | --- |
| Chef<br>(28940) | Ldistance2<br>Ratio<br>GC<br>GC+RANSAC<br>Voting | 0.13<br>0.22<br>0.67<br>0.64<br>0.85 | -<br>0.012<br>1.7<br>1.9<br>0.33 |
| Para<br>(16732) | Ldistance2<br>Ratio<br>GC<br>GC+RANSAC<br>Voting | 0.11<br>0.15<br>0.57<br>0.54<br>0.71 | -<br>0.0058<br>0.64<br>0.77<br>0.16 |
| T-rex<br>(15851) | Ldistance2<br>Ratio<br>GC<br>GC+RANSAC<br>Voting | 0.10<br>0.11<br>0.56<br>0.47<br>0.78 | -<br>0.0051<br>0.56<br>0.65<br>0.13 |
| Chicken<br>(12324) | Ldistance2<br>Ratio<br>GC<br>GC+RANSAC<br>Voting | 0.14<br>0.18<br>0.59<br>0.56<br>0.80 | -<br>0.0039<br>0.35<br>0.41<br>0.11 | | 0 |
| Method | Adapt | BBN | | |
| --- | --- | --- | --- | --- |
| Ma-F1 | Mi-F1 | Acc. | | |
| FIGER<br>HYENA<br>WSABIE<br>HLE<br>ProtoLE<br>Proto-HLE | NA<br>NA<br>NA<br>Y<br>N<br>Y<br>N<br>Y<br>N | 67.28<br>51.38<br>71.28<br>70.84<br>68.86<br>72.67<br>75.78<br>71.97<br>74.54 | 60.70<br>52.85<br>72.08<br>71.61<br>70.00<br>73.54<br>76.50<br>72.89<br>74.38 | 46.92<br>45.01<br>66.22<br>65.74<br>63.32<br>67.58<br>70.43<br>67.05<br>69.46 |
| | | OntoNotes | | |
| FIGER<br>HYENA<br>WSABIE<br>HLE<br>ProtoLE<br>Proto-HLE | NA<br>NA<br>NA<br>Y<br>N<br>Y<br>N<br>Y<br>N | 58.77<br>47.65<br>62.03<br>61.54<br>59.52<br>60.90<br>65.91<br>62.71<br>68.23 | 52.37<br>43.97<br>55.83<br>49.16<br>54.01<br>54.68<br>59.08<br>56.64<br>61.27 | 38.01<br>26.56<br>43.61<br>43.25<br>41.60<br>42.82<br>46.94<br>44.81<br>49.30 | | | | | Wiki | | |
| --- | --- | --- | --- | --- |
| FIGER<br>HYENA<br>WSABIE<br>HLE<br>ProtoLE<br>Proto-HLE | NA<br>NA<br>NA<br>Y<br>N<br>Y<br>N<br>Y<br>N | 68.28<br>45.51<br>67.97<br>67.09<br>65.29<br>66.96<br>68.06<br>67.85<br>66.61 | 64.71<br>43.80<br>64.49<br>65.65<br>62.53<br>65.78<br>66.53<br>65.74<br>65.29 | 47.37<br>30.67<br>48.28<br>47.01<br>45.19<br>49.18<br>53.54<br>50.27<br>50.45 | | 1 |
| Method | Adapt | BBN | | |
| --- | --- | --- | --- | --- |
| Ma-F1 | Mi-F1 | Acc. | | |
| FIGER<br>HYENA<br>WSABIE<br>HLE<br>ProtoLE<br>Proto-HLE | NA<br>NA<br>NA<br>Y<br>N<br>Y<br>N<br>Y<br>N | 67.28<br>51.38<br>71.28<br>70.84<br>68.86<br>72.67<br>75.78<br>71.97<br>74.54 | 60.70<br>52.85<br>72.08<br>71.61<br>70.00<br>73.54<br>76.50<br>72.89<br>74.38 | 46.92<br>45.01<br>66.22<br>65.74<br>63.32<br>67.58<br>70.43<br>67.05<br>69.46 |
| | | OntoNotes | | |
| FIGER<br>HYENA<br>WSABIE<br>HLE<br>ProtoLE<br>Proto-HLE | NA<br>NA<br>NA<br>Y<br>N<br>Y<br>N<br>Y<br>N | 58.77<br>47.65<br>62.03<br>61.54<br>59.52<br>60.90<br>65.91<br>62.71<br>68.23 | 52.37<br>43.97<br>55.83<br>49.16<br>54.01<br>54.68<br>59.08<br>56.64<br>61.27 | 38.01<br>26.56<br>43.61<br>43.25<br>41.60<br>42.82<br>46.94<br>44.81<br>49.30 | | | Para<br>(16732) | Ldistance2<br>Ratio<br>GC<br>GC+RANSAC<br>Voting | 0.11<br>0.15<br>0.57<br>0.54<br>0.71 | -<br>0.0058<br>0.64<br>0.77<br>0.16 |
| --- | --- | --- | --- |
| T-rex<br>(15851) | Ldistance2<br>Ratio<br>GC<br>GC+RANSAC<br>Voting | 0.10<br>0.11<br>0.56<br>0.47<br>0.78 | -<br>0.0051<br>0.56<br>0.65<br>0.13 |
| Chicken<br>(12324) | Ldistance2<br>Ratio<br>GC<br>GC+RANSAC<br>Voting | 0.14<br>0.18<br>0.59<br>0.56<br>0.80 | -<br>0.0039<br>0.35<br>0.41<br>0.11 | | 0 |
| -classe1800(attendus=169,ramenes=127.00,corrects=9.00)<br>rappel=0.053precision=0.071f-mesure=0.061 |
| --- |
| -classe1810(attendus=169,ramenes=252.00,corrects=33.00)<br>rappel=0.195precision=0.131f-mesure=0.157 | | | -classe1820(attendus=169,ramenes=258.00,corrects=29.00)<br>rappel=0.172precision=0.112f-mesure=0.136 |
| --- |
| -classe1830(attendus=169,ramenes=358.00,corrects=36.00)<br>rappel=0.213precision=0.101f-mesure=0.137 |
| -classe1840(attendus=169,ramenes=86.00,corrects=10.00)<br>rappel=0.059precision=0.116f-mesure=0.078 |
| -classe1850(attendus=169,ramenes=186.00,corrects=16.00)<br>rappel=0.095precision=0.086f-mesure=0.090 |
| -classe1860(attendus=170,ramenes=146.00,corrects=13.00)<br>rappel=0.076precision=0.089f-mesure=0.082 |
| -classe1870(attendus=169,ramenes=103.00,corrects=10.00)<br>rappel=0.059precision=0.097f-mesure=0.074 |
| -classe1880(attendus=169,ramenes=166.00,corrects=20.00)<br>rappel=0.118precision=0.120f-mesure=0.119 |
| -classe1890(attendus=197,ramenes=81.00,corrects=7.00)<br>rappel=0.036precision=0.086f-mesure=0.050 |
| -classe1900(attendus=203,ramenes=153.00,corrects=14.00)<br>rappel=0.069precision=0.092f-mesure=0.079 |
| -classe1910(attendus=201,ramenes=85.00,corrects=11.00)<br>rappel=0.055precision=0.129f-mesure=0.077 |
| -classe1920(attendus=200,ramenes=129.00,corrects=15.00)<br>rappel=0.075precision=0.116f-mesure=0.091 |
| -classe1930(attendus=200,ramenes=96.00,corrects=10.00)<br>rappel=0.050precision=0.104f-mesure=0.068 |
| -classe1940(attendus=198,ramenes=495.00,corrects=82.00)<br>rappel=0.414precision=0.166f-mesure=0.237 |
| -surl’ensembledes15classes<br>macrorappel=0.116macroprecision=0.108macroF-mesure=0.112 | | 1 |
| -classe1800(attendus=169,ramenes=127.00,corrects=9.00)<br>rappel=0.053precision=0.071f-mesure=0.061 |
| --- |
| -classe1810(attendus=169,ramenes=252.00,corrects=33.00)<br>rappel=0.195precision=0.131f-mesure=0.157 | | | -classe1800(attendus=169,ramenes=127.00,corrects=9.00)<br>rappel=0.053precision=0.071f-mesure=0.061 |
| --- |
| -classe1810(attendus=169,ramenes=252.00,corrects=33.00)<br>rappel=0.195precision=0.131f-mesure=0.157 |
| -classe1820(attendus=169,ramenes=258.00,corrects=29.00)<br>rappel=0.172precision=0.112f-mesure=0.136 |
| -classe1830(attendus=169,ramenes=358.00,corrects=36.00)<br>rappel=0.213precision=0.101f-mesure=0.137 |
| -classe1840(attendus=169,ramenes=86.00,corrects=10.00)<br>rappel=0.059precision=0.116f-mesure=0.078 |
| -classe1850(attendus=169,ramenes=186.00,corrects=16.00)<br>rappel=0.095precision=0.086f-mesure=0.090 |
| -classe1860(attendus=170,ramenes=146.00,corrects=13.00)<br>rappel=0.076precision=0.089f-mesure=0.082 |
| -classe1870(attendus=169,ramenes=103.00,corrects=10.00)<br>rappel=0.059precision=0.097f-mesure=0.074 |
| -classe1880(attendus=169,ramenes=166.00,corrects=20.00)<br>rappel=0.118precision=0.120f-mesure=0.119 |
| -classe1890(attendus=197,ramenes=81.00,corrects=7.00)<br>rappel=0.036precision=0.086f-mesure=0.050 |
| -classe1900(attendus=203,ramenes=153.00,corrects=14.00)<br>rappel=0.069precision=0.092f-mesure=0.079 |
| -classe1910(attendus=201,ramenes=85.00,corrects=11.00)<br>rappel=0.055precision=0.129f-mesure=0.077 |
| -classe1920(attendus=200,ramenes=129.00,corrects=15.00)<br>rappel=0.075precision=0.116f-mesure=0.091 |
| -classe1930(attendus=200,ramenes=96.00,corrects=10.00)<br>rappel=0.050precision=0.104f-mesure=0.068 |
| -classe1940(attendus=198,ramenes=495.00,corrects=82.00)<br>rappel=0.414precision=0.166f-mesure=0.237 |
| -surl’ensembledes15classes<br>macrorappel=0.116macroprecision=0.108macroF-mesure=0.112 | | 0 |
| -classe1800(attendus=169,ramenes=127.00,corrects=9.00)<br>rappel=0.053precision=0.071f-mesure=0.061 |
| --- |
| -classe1810(attendus=169,ramenes=252.00,corrects=33.00)<br>rappel=0.195precision=0.131f-mesure=0.157 |
| -classe1820(attendus=169,ramenes=258.00,corrects=29.00)<br>rappel=0.172precision=0.112f-mesure=0.136 |
| -classe1830(attendus=169,ramenes=358.00,corrects=36.00)<br>rappel=0.213precision=0.101f-mesure=0.137 |
| -classe1840(attendus=169,ramenes=86.00,corrects=10.00)<br>rappel=0.059precision=0.116f-mesure=0.078 |
| -classe1850(attendus=169,ramenes=186.00,corrects=16.00)<br>rappel=0.095precision=0.086f-mesure=0.090 |
| -classe1860(attendus=170,ramenes=146.00,corrects=13.00)<br>rappel=0.076precision=0.089f-mesure=0.082 |
| -classe1870(attendus=169,ramenes=103.00,corrects=10.00)<br>rappel=0.059precision=0.097f-mesure=0.074 |
| -classe1880(attendus=169,ramenes=166.00,corrects=20.00)<br>rappel=0.118precision=0.120f-mesure=0.119 |
| -classe1890(attendus=197,ramenes=81.00,corrects=7.00)<br>rappel=0.036precision=0.086f-mesure=0.050 |
| -classe1900(attendus=203,ramenes=153.00,corrects=14.00)<br>rappel=0.069precision=0.092f-mesure=0.079 | | | -classe1910(attendus=201,ramenes=85.00,corrects=11.00)<br>rappel=0.055precision=0.129f-mesure=0.077 |
| --- |
| -classe1920(attendus=200,ramenes=129.00,corrects=15.00)<br>rappel=0.075precision=0.116f-mesure=0.091 |
| -classe1930(attendus=200,ramenes=96.00,corrects=10.00)<br>rappel=0.050precision=0.104f-mesure=0.068 |
| -classe1940(attendus=198,ramenes=495.00,corrects=82.00)<br>rappel=0.414precision=0.166f-mesure=0.237 |
| -surl’ensembledes15classes<br>macrorappel=0.116macroprecision=0.108macroF-mesure=0.112 | | 1 |
| -classe1800(attendus=169,ramenes=127.00,corrects=9.00)<br>rappel=0.053precision=0.071f-mesure=0.061 |
| --- |
| -classe1810(attendus=169,ramenes=252.00,corrects=33.00)<br>rappel=0.195precision=0.131f-mesure=0.157 |
| -classe1820(attendus=169,ramenes=258.00,corrects=29.00)<br>rappel=0.172precision=0.112f-mesure=0.136 |
| -classe1830(attendus=169,ramenes=358.00,corrects=36.00)<br>rappel=0.213precision=0.101f-mesure=0.137 |
| -classe1840(attendus=169,ramenes=86.00,corrects=10.00)<br>rappel=0.059precision=0.116f-mesure=0.078 |
| -classe1850(attendus=169,ramenes=186.00,corrects=16.00)<br>rappel=0.095precision=0.086f-mesure=0.090 |
| -classe1860(attendus=170,ramenes=146.00,corrects=13.00)<br>rappel=0.076precision=0.089f-mesure=0.082 |
| -classe1870(attendus=169,ramenes=103.00,corrects=10.00)<br>rappel=0.059precision=0.097f-mesure=0.074 |
| -classe1880(attendus=169,ramenes=166.00,corrects=20.00)<br>rappel=0.118precision=0.120f-mesure=0.119 |
| -classe1890(attendus=197,ramenes=81.00,corrects=7.00)<br>rappel=0.036precision=0.086f-mesure=0.050 |
| -classe1900(attendus=203,ramenes=153.00,corrects=14.00)<br>rappel=0.069precision=0.092f-mesure=0.079 | | | -classe1860(attendus=170,ramenes=146.00,corrects=13.00)<br>rappel=0.076precision=0.089f-mesure=0.082 |
| --- |
| -classe1870(attendus=169,ramenes=103.00,corrects=10.00)<br>rappel=0.059precision=0.097f-mesure=0.074 |
| -classe1880(attendus=169,ramenes=166.00,corrects=20.00)<br>rappel=0.118precision=0.120f-mesure=0.119 |
| -classe1890(attendus=197,ramenes=81.00,corrects=7.00)<br>rappel=0.036precision=0.086f-mesure=0.050 |
| -classe1900(attendus=203,ramenes=153.00,corrects=14.00)<br>rappel=0.069precision=0.092f-mesure=0.079 |
| -classe1910(attendus=201,ramenes=85.00,corrects=11.00)<br>rappel=0.055precision=0.129f-mesure=0.077 |
| -classe1920(attendus=200,ramenes=129.00,corrects=15.00)<br>rappel=0.075precision=0.116f-mesure=0.091 |
| -classe1930(attendus=200,ramenes=96.00,corrects=10.00)<br>rappel=0.050precision=0.104f-mesure=0.068 |
| -classe1940(attendus=198,ramenes=495.00,corrects=82.00)<br>rappel=0.414precision=0.166f-mesure=0.237 |
| -surl’ensembledes15classes<br>macrorappel=0.116macroprecision=0.108macroF-mesure=0.112 | | 0 |
| Algorithm | ζ=0T | 0<ζ<nT | | |
| --- | --- | --- | --- | --- |
| nData=5 | nData=10 | nData=5 | nData=10 | |
| He-Geng | 28,375±2280 | 55,287±4347 | 24,574±3231 | 53,525±2705 | | | Baseline | 2,584±126 | 3,483±518 | 1,308±432 | 3,174±675 |
| --- | --- | --- | --- | --- |
| MIMB | 1,102±85 | 1,843±210 | 922±204 | 1,738±184 | | 1 |
| Algorithm | ζ=0T | 0<ζ<nT | | |
| --- | --- | --- | --- | --- |
| nData=5 | nData=10 | nData=5 | nData=10 | |
| He-Geng | 28,375±2280 | 55,287±4347 | 24,574±3231 | 53,525±2705 | | | Algorithm | ζ=0T | 0<ζ<nT | | |
| --- | --- | --- | --- | --- |
| nData=5 | nData=10 | nData=5 | nData=10 | |
| He-Geng | 28,342±2248 | 54,454±3959 | 24,714±3336 | 52,042±3010 |
| Baseline | 2,568±303 | 4,983±528 | 1,805±486 | 3,837±598 |
| MIMB | 1,390±196 | 2,400±747 | 1,332±179 | 2,166±307 | | 0 |
| Algorithm | ζ=0T | 0<ζ<nT | | |
| --- | --- | --- | --- | --- |
| nData=5 | nData=10 | nData=5 | nData=10 | |
| He-Geng | 28,375±2280 | 55,287±4347 | 24,574±3231 | 53,525±2705 | | | Baseline | 2,584±126 | 3,483±518 | 1,308±432 | 3,174±675 |
| --- | --- | --- | --- | --- |
| MIMB | 1,102±85 | 1,843±210 | 922±204 | 1,738±184 | | 1 |
| Algorithm | ζ=0T | 0<ζ<nT | | |
| --- | --- | --- | --- | --- |
| nData=5 | nData=10 | nData=5 | nData=10 | |
| He-Geng | 28,375±2280 | 55,287±4347 | 24,574±3231 | 53,525±2705 | | | Baseline | 2,568±303 | 4,983±528 | 1,805±486 | 3,837±598 |
| --- | --- | --- | --- | --- |
| MIMB | 1,390±196 | 2,400±747 | 1,332±179 | 2,166±307 | | 0 |
| Space(MB) | k=s11 | k2 | s2 |
| --- | --- | --- | --- |
| 1.009 | 4,200 | 63,000 | 20 |
| 3.941 | 8,400 | 252,000 | 40 | | | 15.573 | 16,800 | 1,008,000 | 80 |
| --- | --- | --- | --- |
| 61.908 | 33,600 | 4,032,000 | 160 | | 1 |
| Space(MB) | k=s11 | k2 | s2 |
| --- | --- | --- | --- |
| 1.009 | 4,200 | 63,000 | 20 |
| 3.941 | 8,400 | 252,000 | 40 | | | N | exp | s,i1 | s,i2 | s,s,i | f,i |
| --- | --- | --- | --- | --- | --- |
| 64 | 1 | 0.4 | 2 | 7 | 9 |
| 128 | 5 | 0.7 | 3 | 30 | 39 |
| 256 | 30 | 1.3 | 7 | 139 | 206 |
| 512 | 344 | 4.2 | 19 | 611 | 1200 | | 0 |
| Space(MB) | k=s11 | k2 | s2 |
| --- | --- | --- | --- |
| 1.009 | 4,200 | 63,000 | 20 | | | 3.941 | 8,400 | 252,000 | 40 |
| --- | --- | --- | --- |
| 15.573 | 16,800 | 1,008,000 | 80 |
| 61.908 | 33,600 | 4,032,000 | 160 | | 1 |
| Space(MB) | k=s11 | k2 | s2 |
| --- | --- | --- | --- |
| 1.009 | 4,200 | 63,000 | 20 | | | 128 | 5 | 0.7 | 3 | 30 | 39 |
| --- | --- | --- | --- | --- | --- |
| 256 | 30 | 1.3 | 7 | 139 | 206 |
| 512 | 344 | 4.2 | 19 | 611 | 1200 | | 0 |
| ResultsforhighSNRandfinermesh | | | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| | VolumeRatio | HausdorffDistance | MASD(×10) | | | |
| | LR | SRR | LR | SRR | LR | SRR |
| NOSER | 0.78 | 0.91/0.83 | 0.083 | 0.033/0.036 | 0.23 | 0.05/0.11 |
| TV | 0.70 | 0.87/0.80 | 0.174 | 0.086/0.081 | 0.81 | 0.30/0.31 |
| TS | 0.83 | 0.92/0.84 | 0.064 | 0.030/0.035 | 0.13 | 0.04/0.10 | | | ResultsforlowSNRandcoarsermesh | | | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| | VolumeRatio | HausdorffDistance | MASD(×10) | | | |
| | LR | SRR | LR | SRR | LR | SRR |
| NOSER | 0.51 | 0.81/0.75 | 0.154 | 0.076/0.081 | 1.14 | 0.25/0.33 |
| TV | 0.46 | 0.79/0.73 | 0.216 | 0.085/0.087 | 1.85 | 0.31/0.39 |
| TS | 0.69 | 0.84/0.78 | 0.100 | 0.064/0.067 | 0.46 | 0.18/0.24 | | 1 |
| ResultsforhighSNRandfinermesh | | | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| | VolumeRatio | HausdorffDistance | MASD(×10) | | | |
| | LR | SRR | LR | SRR | LR | SRR |
| NOSER | 0.78 | 0.91/0.83 | 0.083 | 0.033/0.036 | 0.23 | 0.05/0.11 |
| TV | 0.70 | 0.87/0.80 | 0.174 | 0.086/0.081 | 0.81 | 0.30/0.31 |
| TS | 0.83 | 0.92/0.84 | 0.064 | 0.030/0.035 | 0.13 | 0.04/0.10 | | | l | 100 | 200 | 400 | 800 | 1600 | 3200 | 6400 | 12800 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| BEGK | 4.7 | 51 | 110 | 340 | - | - | - | - |
| DL | 0.11 | 6.4 | 44 | 210 | - | - | - | - |
| BMR | 0.047 | 2.2 | 5.1 | 16 | 130 | - | - | - |
| HBC | 110 | - | - | - | - | - | - | - |
| KS | 0.057 | 2.6 | 4.6 | 20 | 97 | - | - | - |
| RS | 0.009 | 0.052 | 0.14 | 0.41 | 1.6 | 15 | 98 | 420 |
| DFS | 0.006 | 0.044 | 0.09 | 0.28 | 0.94 | 12 | 40 | 180 |
| \|F\| | 100 | 200 | 400 | 800 | 1600 | 3200 | 6400 | 12800 |
| \|F\| | 8 | 8 | 8 | 8 | 8 | 8 | 8 | 8 |
| \|dual(F)\| | 2341 | 22760 | 33087 | 79632 | 212761 | 2396735 | 4707877 | 16405082 |
| \|S\| | 11.19 | 12.43 | 13.59 | 14.62 | 15.73 | 17.06 | 17.41 | 19.09 | | 0 |
| ResultsforhighSNRandfinermesh | | | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| | VolumeRatio | HausdorffDistance | MASD(×10) | | | |
| | LR | SRR | LR | SRR | LR | SRR |
| NOSER | 0.78 | 0.91/0.83 | 0.083 | 0.033/0.036 | 0.23 | 0.05/0.11 |
| TV | 0.70 | 0.87/0.80 | 0.174 | 0.086/0.081 | 0.81 | 0.30/0.31 |
| TS | 0.83 | 0.92/0.84 | 0.064 | 0.030/0.035 | 0.13 | 0.04/0.10 |
| ResultsforlowSNRandcoarsermesh | | | | | | |
| | VolumeRatio | HausdorffDistance | MASD(×10) | | | |
| | LR | SRR | LR | SRR | LR | SRR | | | NOSER | 0.51 | 0.81/0.75 | 0.154 | 0.076/0.081 | 1.14 | 0.25/0.33 |
| --- | --- | --- | --- | --- | --- | --- |
| TV | 0.46 | 0.79/0.73 | 0.216 | 0.085/0.087 | 1.85 | 0.31/0.39 |
| TS | 0.69 | 0.84/0.78 | 0.100 | 0.064/0.067 | 0.46 | 0.18/0.24 | | 1 |
| ResultsforhighSNRandfinermesh | | | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| | VolumeRatio | HausdorffDistance | MASD(×10) | | | |
| | LR | SRR | LR | SRR | LR | SRR |
| NOSER | 0.78 | 0.91/0.83 | 0.083 | 0.033/0.036 | 0.23 | 0.05/0.11 |
| TV | 0.70 | 0.87/0.80 | 0.174 | 0.086/0.081 | 0.81 | 0.30/0.31 |
| TS | 0.83 | 0.92/0.84 | 0.064 | 0.030/0.035 | 0.13 | 0.04/0.10 |
| ResultsforlowSNRandcoarsermesh | | | | | | |
| | VolumeRatio | HausdorffDistance | MASD(×10) | | | |
| | LR | SRR | LR | SRR | LR | SRR | | | BMR | 0.047 | 2.2 | 5.1 | 16 | 130 | - | - | - |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| HBC | 110 | - | - | - | - | - | - | - |
| KS | 0.057 | 2.6 | 4.6 | 20 | 97 | - | - | - |
| RS | 0.009 | 0.052 | 0.14 | 0.41 | 1.6 | 15 | 98 | 420 |
| DFS | 0.006 | 0.044 | 0.09 | 0.28 | 0.94 | 12 | 40 | 180 |
| \|F\| | 100 | 200 | 400 | 800 | 1600 | 3200 | 6400 | 12800 |
| \|F\| | 8 | 8 | 8 | 8 | 8 | 8 | 8 | 8 |
| \|dual(F)\| | 2341 | 22760 | 33087 | 79632 | 212761 | 2396735 | 4707877 | 16405082 |
| \|S\| | 11.19 | 12.43 | 13.59 | 14.62 | 15.73 | 17.06 | 17.41 | 19.09 | | 0 |
| Period | Mean(·) | Median(·) | Variance(·) | MAX(·) | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| LB | UB | LB | UB | LB | UB | LB | UB | | | I | 30.2 | 67.8 | 4 | 45 | 1498.1 | 4094.3 | 225 | 432 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| II | 48.6 | 100.8 | 42 | 93 | 1195.1 | 6298.3 | 306 | 621 |
| III | 11.1 | 33.0 | 2 | 29 | 223.6 | 270.8 | 64 | 100 |
| IV | 1.9 | 23.8 | 1 | 23 | 26.32 | 92.7 | 40 | 65 |
| V | 33.4 | 127.9 | 8 | 105 | 1132.7 | 7465.2 | 266 | 605 | | 1 |
| Period | Mean(·) | Median(·) | Variance(·) | MAX(·) | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| LB | UB | LB | UB | LB | UB | LB | UB | | | N | Range | AverageExpSup |
| --- | --- | --- |
| 1 | [0.0,0.2) | 1,558.9 |
| 2 | [0.2,0.4) | 1,355.3 |
| 3 | [0.4,0.6) | 1,017.1 |
| 4 | [0.6,0.8) | 649.9 |
| 5 | [0.8,1.0) | 353.3 |
| 6 | [1.0,1.2) | 155.9 |
| 7 | [1.2,1.4) | 52.8 |
| 8 | [1.4,1.6) | 16.6 |
| 9 | [1.6,1.8) | 8.3 |
| 10 | [1.8,2.0) | 5.7 | | 0 |
| Period | Mean(·) | Median(·) | Variance(·) | MAX(·) | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| LB | UB | LB | UB | LB | UB | LB | UB | |
| I | 30.2 | 67.8 | 4 | 45 | 1498.1 | 4094.3 | 225 | 432 |
| II | 48.6 | 100.8 | 42 | 93 | 1195.1 | 6298.3 | 306 | 621 |
| III | 11.1 | 33.0 | 2 | 29 | 223.6 | 270.8 | 64 | 100 | | | IV | 1.9 | 23.8 | 1 | 23 | 26.32 | 92.7 | 40 | 65 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| V | 33.4 | 127.9 | 8 | 105 | 1132.7 | 7465.2 | 266 | 605 | | 1 |
| Period | Mean(·) | Median(·) | Variance(·) | MAX(·) | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| LB | UB | LB | UB | LB | UB | LB | UB | |
| I | 30.2 | 67.8 | 4 | 45 | 1498.1 | 4094.3 | 225 | 432 |
| II | 48.6 | 100.8 | 42 | 93 | 1195.1 | 6298.3 | 306 | 621 |
| III | 11.1 | 33.0 | 2 | 29 | 223.6 | 270.8 | 64 | 100 | | | 9 | [1.6,1.8) | 8.3 |
| --- | --- | --- |
| 10 | [1.8,2.0) | 5.7 | | 0 |
| | p=10 | p=20 | p=30 | p=40 | p=50 | p=60 |
| --- | --- | --- | --- | --- | --- | --- |
| n=10 | 15 | 15 | 16 | 32 | 31 | 32 |
| n=20 | 109 | 250 | 391 | 531 | 687 | 843 | | | n=30 | 609 | 1484 | 2468 | 3406 | 4469 | 5610 |
| --- | --- | --- | --- | --- | --- | --- |
| n=40 | 2219 | 7391 | 12828 | 18219 | 24484 | 29625 |
| n=50 | 5500 | 17874 | 34078 | 49952 | 66749 | 82328 |
| n=60 | 12203 | 42625 | 87922 | 138906 | 192843 | 242734 |
| n=70 | 22734 | 81453 | 169250 | 286188 | 405500 | 536641 |
| n=80 | 46015 | 165875 | 350641 | 619921 | 911781 | 1202375 |
| n=90 | 92125 | 332641 | 708859 | 1262938 | 1894657 | 2525360 |
| n=100 | 159250 | 587282 | 1282610 | 2220610 | 3505532 | 4899657 | | 1 |
| | p=10 | p=20 | p=30 | p=40 | p=50 | p=60 |
| --- | --- | --- | --- | --- | --- | --- |
| n=10 | 15 | 15 | 16 | 32 | 31 | 32 |
| n=20 | 109 | 250 | 391 | 531 | 687 | 843 | | | N= | K=10 | K=15 | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| PTP | RTP | VBP | PTP | RTP | VBP | |
| 10 | 32959 | 28147 | 31048 | 42093 | 38372 | 38727 |
| 20 | 21440 | 18449 | 21562 | 26905 | 24586 | 28958 |
| 30 | 17557 | 15756 | 16635 | 20421 | 18963 | 22486 |
| 40 | 15634 | 14004 | 14412 | 17458 | 16464 | 18394 |
| 50 | 14269 | 12931 | 13028 | 15377 | 14690 | 16037 |
| 60 | 13189 | 12179 | 11968 | 14148 | 13542 | 14380 |
| 70 | 12294 | 11361 | 11240 | 13230 | 12652 | 13194 |
| 80 | 11381 | 10680 | 10559 | 12433 | 11982 | 12254 |
| 90 | 10617 | 9873 | 10109 | 11677 | 11313 | 11472 | | 0 |
| | p=10 | p=20 | p=30 | p=40 | p=50 | p=60 |
| --- | --- | --- | --- | --- | --- | --- |
| n=10 | 15 | 15 | 16 | 32 | 31 | 32 | | | n=20 | 109 | 250 | 391 | 531 | 687 | 843 |
| --- | --- | --- | --- | --- | --- | --- |
| n=30 | 609 | 1484 | 2468 | 3406 | 4469 | 5610 |
| n=40 | 2219 | 7391 | 12828 | 18219 | 24484 | 29625 |
| n=50 | 5500 | 17874 | 34078 | 49952 | 66749 | 82328 |
| n=60 | 12203 | 42625 | 87922 | 138906 | 192843 | 242734 |
| n=70 | 22734 | 81453 | 169250 | 286188 | 405500 | 536641 |
| n=80 | 46015 | 165875 | 350641 | 619921 | 911781 | 1202375 |
| n=90 | 92125 | 332641 | 708859 | 1262938 | 1894657 | 2525360 |
| n=100 | 159250 | 587282 | 1282610 | 2220610 | 3505532 | 4899657 | | 1 |
| | p=10 | p=20 | p=30 | p=40 | p=50 | p=60 |
| --- | --- | --- | --- | --- | --- | --- |
| n=10 | 15 | 15 | 16 | 32 | 31 | 32 | | | 30 | 17557 | 15756 | 16635 | 20421 | 18963 | 22486 |
| --- | --- | --- | --- | --- | --- | --- |
| 40 | 15634 | 14004 | 14412 | 17458 | 16464 | 18394 |
| 50 | 14269 | 12931 | 13028 | 15377 | 14690 | 16037 |
| 60 | 13189 | 12179 | 11968 | 14148 | 13542 | 14380 |
| 70 | 12294 | 11361 | 11240 | 13230 | 12652 | 13194 |
| 80 | 11381 | 10680 | 10559 | 12433 | 11982 | 12254 |
| 90 | 10617 | 9873 | 10109 | 11677 | 11313 | 11472 | | 0 |
| Advantages | Disadvantages |
| --- | --- |
| EmpoweredProcessing | DependencytoHighPerformanceNetworkingInfrastructure |
| ProlongedBattery | ExcessiveCommunicationOverheadandTraffic | | | ExpandedStorage | UnauthorizedAccesstooffloadedData |
| --- | --- |
| IncreasedDataSafety | ApplicationDevelopmentComplexity |
| UbiquitousDataAccess<br>andContentSharing | PaidInfrastructures |
| ProtectedOffloadedContents | InconsistentCloudPoliciesandRestrictions |
| EnrichedUserInterface | ServiceNegotiationandControl |
| EnhancedApplicationGeneration | Nil | | 1 |
| Advantages | Disadvantages |
| --- | --- |
| EmpoweredProcessing | DependencytoHighPerformanceNetworkingInfrastructure |
| ProlongedBattery | ExcessiveCommunicationOverheadandTraffic | | | CloudSim[24] | GreenCloud[9] | iCanCloud[3] |
| --- | --- | --- |
| any | NS2 | OMNET,MPI |
| Java | C++/OTcl | C++ |
| OpenSource | OpenSource | OpenSource |
| Limited(ViaCloudAnalyst) | N | N |
| N | Limited(ViaPlug-in) | Y |
| N | N | Y |
| N | N | Y |
| Y | Y | N |
| Y | N | N |
| Seconds | Tensofminutes | seconds |
| small | large | medium | | 0 |
| Advantages | Disadvantages |
| --- | --- |
| EmpoweredProcessing | DependencytoHighPerformanceNetworkingInfrastructure |
| ProlongedBattery | ExcessiveCommunicationOverheadandTraffic |
| ExpandedStorage | UnauthorizedAccesstooffloadedData |
| IncreasedDataSafety | ApplicationDevelopmentComplexity |
| UbiquitousDataAccess<br>andContentSharing | PaidInfrastructures | | | ProtectedOffloadedContents | InconsistentCloudPoliciesandRestrictions |
| --- | --- |
| EnrichedUserInterface | ServiceNegotiationandControl |
| EnhancedApplicationGeneration | Nil | | 1 |
| Advantages | Disadvantages |
| --- | --- |
| EmpoweredProcessing | DependencytoHighPerformanceNetworkingInfrastructure |
| ProlongedBattery | ExcessiveCommunicationOverheadandTraffic |
| ExpandedStorage | UnauthorizedAccesstooffloadedData |
| IncreasedDataSafety | ApplicationDevelopmentComplexity |
| UbiquitousDataAccess<br>andContentSharing | PaidInfrastructures | | | N | N | Y |
| --- | --- | --- |
| N | N | Y |
| Y | Y | N |
| Y | N | N |
| Seconds | Tensofminutes | seconds |
| small | large | medium | | 0 |
| Dataset | NumberofRecords | NumberofItems |
| --- | --- | --- |
| BMS-POS | 515,597 | 1,657 | | | Kosarak | 990,002 | 41,270 |
| --- | --- | --- |
| AOL | 647,377 | 2,290,685 |
| Zipf | 1,000,000 | 10,000 | | 1 |
| Dataset | NumberofRecords | NumberofItems |
| --- | --- | --- |
| BMS-POS | 515,597 | 1,657 | | | Dataset | Size | Dataset | Size |
| --- | --- | --- | --- |
| Coffeeshops1 | 1733 | Inn1 | 1108 |
| Coffeeshops2 | 1807 | Inn2 | 1265 |
| Starbucks | 149 | Home-Inn | 235 |
| Costa | 75 | JinJiang | 57 | | 0 |
| Dataset | NumberofRecords | NumberofItems |
| --- | --- | --- |
| BMS-POS | 515,597 | 1,657 | | | Kosarak | 990,002 | 41,270 |
| --- | --- | --- |
| AOL | 647,377 | 2,290,685 |
| Zipf | 1,000,000 | 10,000 | | 1 |
| Dataset | NumberofRecords | NumberofItems |
| --- | --- | --- |
| BMS-POS | 515,597 | 1,657 | | | Coffeeshops2 | 1807 | Inn2 | 1265 |
| --- | --- | --- | --- |
| Starbucks | 149 | Home-Inn | 235 |
| Costa | 75 | JinJiang | 57 | | 0 |
| measure | P@5 | P@10 | P@20 | NDCG@5 | NDCG@10 | NDCG@20 | MAP | bpref |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | 0.4941 | 0.3824 | 0.2853 | 0.5068 | 0.4248 | 0.3416 | 0.1608 | 0.8536 |
| | 0.3176 | 0.2706 | 0.2118 | 0.3525 | 0.3075 | 0.253 | 0.1151 | 0.7303 |
| | 0.4353 | 0.3471 | 0.2912 | 0.4553 | 0.3871 | 0.3336 | 0.1548 | 0.7590 |
| | 0.6941 | 0.5741 | 0.4235 | 0.7181 | 0.6386 | 0.5024 | 0.291 | 0.8843 |
| | 0.0353 | 0.0294 | 0.0265 | 0.0354 | 0.0317 | 0.0289 | 0.005 | 0.6331 | | | | 0.6235 | 0.4176 | 0.2882 | 0.6447 | 0.4913 | 0.3725 | 0.1579 | 0.9704 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | 0.7059 | 0.5882 | 0.4529 | 0.7548 | 0.6549 | 0.5361 | 0.311 | 0.8676 |
| RankClass | 0.7529 | 0.6647 | 0.5176 | 0.7666 | 0.7026 | 0.5867 | 0.3598 | 0.8981 |
| LE-expert | 0.8118 | 0.7118 | 0.5559 | 0.8027 | 0.7361 | 0.618 | 0.3826 | 0.9451 | | 1 |
| measure | P@5 | P@10 | P@20 | NDCG@5 | NDCG@10 | NDCG@20 | MAP | bpref |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | 0.4941 | 0.3824 | 0.2853 | 0.5068 | 0.4248 | 0.3416 | 0.1608 | 0.8536 |
| | 0.3176 | 0.2706 | 0.2118 | 0.3525 | 0.3075 | 0.253 | 0.1151 | 0.7303 |
| | 0.4353 | 0.3471 | 0.2912 | 0.4553 | 0.3871 | 0.3336 | 0.1548 | 0.7590 |
| | 0.6941 | 0.5741 | 0.4235 | 0.7181 | 0.6386 | 0.5024 | 0.291 | 0.8843 |
| | 0.0353 | 0.0294 | 0.0265 | 0.0354 | 0.0317 | 0.0289 | 0.005 | 0.6331 | | | 0.414 | 0.245 | 0.033 | 0.018 | 0.012 | 0.032 | 0.043 | 0.064 | 0.075 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 0.058 | 0.297 | 0.246 | 0.037 | 0.021 | 0.043 | 0.051 | 0.089 | 0.091 |
| 0.031 | 0.053 | 0.298 | 0.227 | 0.049 | 0.042 | 0.042 | 0.049 | 0.132 |
| 0.031 | 0.041 | 0.089 | 0.345 | 0.182 | 0.057 | 0.037 | 0.039 | 0.116 |
| 0.037 | 0.057 | 0.056 | 0.063 | 0.337 | 0.212 | 0.047 | 0.038 | 0.082 |
| 0.056 | 0.049 | 0.061 | 0.041 | 0.053 | 0.339 | 0.23 | 0.041 | 0.065 |
| 0.08 | 0.067 | 0.054 | 0.035 | 0.03 | 0.041 | 0.332 | 0.204 | 0.077 |
| 0.065 | 0.074 | 0.082 | 0.043 | 0.03 | 0.04 | 0.048 | 0.339 | 0.203 |
| 0.05 | 0.044 | 0.066 | 0.065 | 0.048 | 0.033 | 0.048 | 0.044 | 0.488 |
| 0.035 | 0.036 | 0.055 | 0.048 | 0.039 | 0.048 | 0.061 | 0.06 | 0.106 | | 0 |
| measure | P@5 | P@10 | P@20 | NDCG@5 | NDCG@10 | NDCG@20 | MAP | bpref |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | 0.4941 | 0.3824 | 0.2853 | 0.5068 | 0.4248 | 0.3416 | 0.1608 | 0.8536 |
| | 0.3176 | 0.2706 | 0.2118 | 0.3525 | 0.3075 | 0.253 | 0.1151 | 0.7303 |
| | 0.4353 | 0.3471 | 0.2912 | 0.4553 | 0.3871 | 0.3336 | 0.1548 | 0.7590 |
| | 0.6941 | 0.5741 | 0.4235 | 0.7181 | 0.6386 | 0.5024 | 0.291 | 0.8843 |
| | 0.0353 | 0.0294 | 0.0265 | 0.0354 | 0.0317 | 0.0289 | 0.005 | 0.6331 |
| | 0.6235 | 0.4176 | 0.2882 | 0.6447 | 0.4913 | 0.3725 | 0.1579 | 0.9704 |
| | 0.7059 | 0.5882 | 0.4529 | 0.7548 | 0.6549 | 0.5361 | 0.311 | 0.8676 | | | RankClass | 0.7529 | 0.6647 | 0.5176 | 0.7666 | 0.7026 | 0.5867 | 0.3598 | 0.8981 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| LE-expert | 0.8118 | 0.7118 | 0.5559 | 0.8027 | 0.7361 | 0.618 | 0.3826 | 0.9451 | | 1 |
| measure | P@5 | P@10 | P@20 | NDCG@5 | NDCG@10 | NDCG@20 | MAP | bpref |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | 0.4941 | 0.3824 | 0.2853 | 0.5068 | 0.4248 | 0.3416 | 0.1608 | 0.8536 |
| | 0.3176 | 0.2706 | 0.2118 | 0.3525 | 0.3075 | 0.253 | 0.1151 | 0.7303 |
| | 0.4353 | 0.3471 | 0.2912 | 0.4553 | 0.3871 | 0.3336 | 0.1548 | 0.7590 |
| | 0.6941 | 0.5741 | 0.4235 | 0.7181 | 0.6386 | 0.5024 | 0.291 | 0.8843 |
| | 0.0353 | 0.0294 | 0.0265 | 0.0354 | 0.0317 | 0.0289 | 0.005 | 0.6331 |
| | 0.6235 | 0.4176 | 0.2882 | 0.6447 | 0.4913 | 0.3725 | 0.1579 | 0.9704 |
| | 0.7059 | 0.5882 | 0.4529 | 0.7548 | 0.6549 | 0.5361 | 0.311 | 0.8676 | | | 0.056 | 0.049 | 0.061 | 0.041 | 0.053 | 0.339 | 0.23 | 0.041 | 0.065 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 0.08 | 0.067 | 0.054 | 0.035 | 0.03 | 0.041 | 0.332 | 0.204 | 0.077 |
| 0.065 | 0.074 | 0.082 | 0.043 | 0.03 | 0.04 | 0.048 | 0.339 | 0.203 |
| 0.05 | 0.044 | 0.066 | 0.065 | 0.048 | 0.033 | 0.048 | 0.044 | 0.488 |
| 0.035 | 0.036 | 0.055 | 0.048 | 0.039 | 0.048 | 0.061 | 0.06 | 0.106 | | 0 |
| Datasets | BMM | PND | Zhuetal. | Kumaretal. | Ours |
| --- | --- | --- | --- | --- | --- |
| p2free2 | 0.1973 | 0.1544 | 0.1142 | 0.1992 | 0.1171 |
| p2grab2 | 0.2018 | 0.1570 | 0.0960 | 0.2080 | 0.0822 |
| p3ball1 | 0.1356 | 0.1477 | 0.0832 | 0.1348 | 0.0810 | | | p4meet12 | 0.0802 | 0.0862 | 0.0972 | 0.0821 | 0.0815 |
| --- | --- | --- | --- | --- | --- |
| p4table12 | 0.2313 | 0.1588 | 0.1322 | 0.2313 | 0.0994 | | 1 |
| Datasets | BMM | PND | Zhuetal. | Kumaretal. | Ours |
| --- | --- | --- | --- | --- | --- |
| p2free2 | 0.1973 | 0.1544 | 0.1142 | 0.1992 | 0.1171 |
| p2grab2 | 0.2018 | 0.1570 | 0.0960 | 0.2080 | 0.0822 |
| p3ball1 | 0.1356 | 0.1477 | 0.0832 | 0.1348 | 0.0810 | | | 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 |
| Datasets | BMM | PND | Zhuetal. | Kumaretal. | Ours |
| --- | --- | --- | --- | --- | --- |
| p2free2 | 0.1973 | 0.1544 | 0.1142 | 0.1992 | 0.1171 |
| p2grab2 | 0.2018 | 0.1570 | 0.0960 | 0.2080 | 0.0822 |
| p3ball1 | 0.1356 | 0.1477 | 0.0832 | 0.1348 | 0.0810 | | | p4meet12 | 0.0802 | 0.0862 | 0.0972 | 0.0821 | 0.0815 |
| --- | --- | --- | --- | --- | --- |
| p4table12 | 0.2313 | 0.1588 | 0.1322 | 0.2313 | 0.0994 | | 1 |
| Datasets | BMM | PND | Zhuetal. | Kumaretal. | Ours |
| --- | --- | --- | --- | --- | --- |
| p2free2 | 0.1973 | 0.1544 | 0.1142 | 0.1992 | 0.1171 |
| p2grab2 | 0.2018 | 0.1570 | 0.0960 | 0.2080 | 0.0822 |
| p3ball1 | 0.1356 | 0.1477 | 0.0832 | 0.1348 | 0.0810 | | | 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 |
| Method | Book-AuthorDataset | | | | |
| --- | --- | --- | --- | --- | --- |
| | | | | | |
| Voting<br>Sums<br>Avg-Log<br>TruthFinder<br>2-Estimates | 0.840.630.72<br>0.840.640.73<br>0.830.600.70<br>0.840.600.70<br>0.810.700.75 | 0.830.640.72<br>0.830.640.72<br>0.830.640.72<br>0.830.600.70<br>0.800.680.74 | 0.07<br>0.85<br>0.61<br>0.74<br>0.38 | 0.880.850.87<br>0.900.890.90<br>0.900.890.89<br>0.900.890.90<br>0.910.890.90 | 0.690.680.69<br>0.880.860.87<br>0.880.860.87<br>0.880.850.86<br>0.880.860.87 | | | LTM<br>MBM<br>MTD-hrd | 0.820.650.73<br>0.830.740.78<br>0.830.580.68 | 0.820.620.71<br>0.820.710.76<br>0.820.590.69 | 0.98<br>0.67<br>0.72 | 0.870.900.88<br>0.900.920.91<br>0.900.900.90 | 0.860.890.87<br>0.870.900.88<br>0.870.890.88 |
| --- | --- | --- | --- | --- | --- |
| SmartMTD | 0.830.750.79 | 0.830.780.80 | 0.43 | 0.900.930.91 | 0.930.920.93 | | 1 |
| Method | Book-AuthorDataset | | | | |
| --- | --- | --- | --- | --- | --- |
| | | | | | |
| Voting<br>Sums<br>Avg-Log<br>TruthFinder<br>2-Estimates | 0.840.630.72<br>0.840.640.73<br>0.830.600.70<br>0.840.600.70<br>0.810.700.75 | 0.830.640.72<br>0.830.640.72<br>0.830.640.72<br>0.830.600.70<br>0.800.680.74 | 0.07<br>0.85<br>0.61<br>0.74<br>0.38 | 0.880.850.87<br>0.900.890.90<br>0.900.890.89<br>0.900.890.90<br>0.910.890.90 | 0.690.680.69<br>0.880.860.87<br>0.880.860.87<br>0.880.850.86<br>0.880.860.87 | | | Dataset | Method | Prec. | Rec. | Acc. | Spec. | F. | Avg. | Cm |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Book | Voting<br>Sums<br>AvgLog<br>Inv<br>PInv<br>Tru<br>Est2<br>Est3<br>Accu<br>CRH<br>SLCA<br>GLCA | 0.749<br>0.851<br>0.841<br>0.815<br>0.812<br>0.847<br>0.863<br>0.828<br>0.858<br>0.850<br>0.861<br>0.846 | 0.712<br>0.685<br>0.663<br>0.745<br>0.750<br>0.663<br>0.755<br>0.734<br>0.788<br>0.679<br>0.810<br>0.658 | 0.576<br>0.651<br>0.629<br>0.659<br>0.659<br>0.633<br>0.707<br>0.664<br>0.725<br>0.646<br>0.742<br>0.629 | 0.022<br>0.511<br>0.489<br>0.311<br>0.289<br>0.511<br>0.511<br>0.378<br>0.467<br>0.511<br>0.467<br>0.511 | 0.730<br>0.759<br>0.742<br>0.778<br>0.780<br>0.744<br>0.806<br>0.778<br>0.822<br>0.755<br>0.835<br>0.740 | 0.515<br>0.674<br>0.656<br>0.633<br>0.628<br>0.664<br>0.709<br>0.651<br>0.709<br>0.672<br>0.720<br>0.661 | -26258<br>-23011<br>-23477<br>-23860<br>-23435<br>-23303<br>-21915<br>-24907<br>-21390<br>-22751<br>-21670<br>-23243 |
| Cos | 0.980 | 0.865 | 0.901 | 0.861 | 0.909 | 0.985 | 1.000 | |
| Children | Voting<br>Sums<br>AvgLog<br>Inv<br>PInv<br>Tru<br>Est2<br>Est3<br>Accu<br>CRH<br>SLCA<br>GLCA | 0.919<br>0.938<br>0.938<br>0.915<br>0.912<br>0.938<br>0.940<br>0.905<br>0.941<br>0.938<br>0.942<br>0.938 | 0.901<br>0.927<br>0.926<br>0.919<br>0.912<br>0.926<br>0.927<br>0.889<br>0.928<br>0.927<br>0.927<br>0.924 | 0.845<br>0.883<br>0.882<br>0.841<br>0.839<br>0.881<br>0.885<br>0.822<br>0.885<br>0.883<br>0.886<br>0.876 | 0.462<br>0.585<br>0.581<br>0.457<br>0.454<br>0.581<br>0.595<br>0.366<br>0.588<br>0.586<br>0.601<br>0.578 | 0.910<br>0.933<br>0.932<br>0.917<br>0.912<br>0.932<br>0.933<br>0.897<br>0.934<br>0.932<br>0.935<br>0.931 | 0.782<br>0.833<br>0.832<br>0.783<br>0.779<br>0.832<br>0.836<br>0.746<br>0.836<br>0.833<br>0.839<br>0.829 | -330234<br>-314582<br>-314124<br>-331351<br>-331523<br>-315231<br>-309873<br>-340031<br>-310314<br>-313421<br>-302873<br>-321098 |
| Cos. | 0.994 | 0.989 | 0.997 | 0.999 | 0.992 | 0.998 | 1.000 | | | 0 |
| Method | Book-AuthorDataset | | | | |
| --- | --- | --- | --- | --- | --- |
| | | | | | |
| Voting<br>Sums<br>Avg-Log<br>TruthFinder<br>2-Estimates | 0.840.630.72<br>0.840.640.73<br>0.830.600.70<br>0.840.600.70<br>0.810.700.75 | 0.830.640.72<br>0.830.640.72<br>0.830.640.72<br>0.830.600.70<br>0.800.680.74 | 0.07<br>0.85<br>0.61<br>0.74<br>0.38 | 0.880.850.87<br>0.900.890.90<br>0.900.890.89<br>0.900.890.90<br>0.910.890.90 | 0.690.680.69<br>0.880.860.87<br>0.880.860.87<br>0.880.850.86<br>0.880.860.87 | | | LTM<br>MBM<br>MTD-hrd | 0.820.650.73<br>0.830.740.78<br>0.830.580.68 | 0.820.620.71<br>0.820.710.76<br>0.820.590.69 | 0.98<br>0.67<br>0.72 | 0.870.900.88<br>0.900.920.91<br>0.900.900.90 | 0.860.890.87<br>0.870.900.88<br>0.870.890.88 |
| --- | --- | --- | --- | --- | --- |
| SmartMTD | 0.830.750.79 | 0.830.780.80 | 0.43 | 0.900.930.91 | 0.930.920.93 | | 1 |
| Method | Book-AuthorDataset | | | | |
| --- | --- | --- | --- | --- | --- |
| | | | | | |
| Voting<br>Sums<br>Avg-Log<br>TruthFinder<br>2-Estimates | 0.840.630.72<br>0.840.640.73<br>0.830.600.70<br>0.840.600.70<br>0.810.700.75 | 0.830.640.72<br>0.830.640.72<br>0.830.640.72<br>0.830.600.70<br>0.800.680.74 | 0.07<br>0.85<br>0.61<br>0.74<br>0.38 | 0.880.850.87<br>0.900.890.90<br>0.900.890.89<br>0.900.890.90<br>0.910.890.90 | 0.690.680.69<br>0.880.860.87<br>0.880.860.87<br>0.880.850.86<br>0.880.860.87 | | | Children | Voting<br>Sums<br>AvgLog<br>Inv<br>PInv<br>Tru<br>Est2<br>Est3<br>Accu<br>CRH<br>SLCA<br>GLCA | 0.919<br>0.938<br>0.938<br>0.915<br>0.912<br>0.938<br>0.940<br>0.905<br>0.941<br>0.938<br>0.942<br>0.938 | 0.901<br>0.927<br>0.926<br>0.919<br>0.912<br>0.926<br>0.927<br>0.889<br>0.928<br>0.927<br>0.927<br>0.924 | 0.845<br>0.883<br>0.882<br>0.841<br>0.839<br>0.881<br>0.885<br>0.822<br>0.885<br>0.883<br>0.886<br>0.876 | 0.462<br>0.585<br>0.581<br>0.457<br>0.454<br>0.581<br>0.595<br>0.366<br>0.588<br>0.586<br>0.601<br>0.578 | 0.910<br>0.933<br>0.932<br>0.917<br>0.912<br>0.932<br>0.933<br>0.897<br>0.934<br>0.932<br>0.935<br>0.931 | 0.782<br>0.833<br>0.832<br>0.783<br>0.779<br>0.832<br>0.836<br>0.746<br>0.836<br>0.833<br>0.839<br>0.829 | -330234<br>-314582<br>-314124<br>-331351<br>-331523<br>-315231<br>-309873<br>-340031<br>-310314<br>-313421<br>-302873<br>-321098 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Cos. | 0.994 | 0.989 | 0.997 | 0.999 | 0.992 | 0.998 | 1.000 | | | 0 |
| BlockingOps | NonblockingOps | Classes |
| --- | --- | --- |
| rbc::Bcast | rbc::Ibcast | rbc::Request |
| rbc::Reduce | rbc::Ireduce | rbc::Comm |
| rbc::Scan | rbc::Iscan | | | | rbc::Gather<br>rbc::Gatherv | rbc::Igather<br>rbc::Igatherv | |
| --- | --- | --- |
| rbc::Barrier | rbc::Ibarrier | |
| rbc::Send<br>rbc::Recv | rbc::Isend<br>rbc::Irecv | |
| rbc::Probe<br>rbc::Wait<br>rbc::Waitall | rbc::Iprobe<br>rbc::Test | |
| | rbc::CreateRBCComm<br>rbc::SplitRBCComm<br>rbc::Commrank<br>rbc::Commsize | | | 1 |
| BlockingOps | NonblockingOps | Classes |
| --- | --- | --- |
| rbc::Bcast | rbc::Ibcast | rbc::Request |
| rbc::Reduce | rbc::Ireduce | rbc::Comm |
| rbc::Scan | rbc::Iscan | | | | instance | sizeoptprfails | sizeoptprfails | sizeoptprfails |
| --- | --- | --- | --- |
| rbg010a<br>rbg016a<br>rbg016b<br>rbg017.2<br>rbg017<br>rbg017a<br>rbg019a<br>rbg019b<br>rbg019c<br>rbg019d<br>rbg020a<br>rbg021.2<br>rbg021.3<br>rbg021.4<br>rbg021.5<br>rbg021.6<br>rbg021.7<br>rbg021.8<br>rbg021.9<br>rbg021<br>rbg027a | 0.81127<br>0.761437<br>0.621454<br>0.38012<br>0.5319112<br>0.640110<br>0.890117<br>0.681383<br>0.5214186<br>0.91025<br>0.78013<br>0.500223<br>0.4815106<br>0.4714152<br>0.4913160<br>0.41128k<br>0.4013518<br>0.391313k<br>0.391313k<br>0.5214186<br>0.440315 | 0.94015<br>0.880241<br>0.720354<br>0.49019<br>0.661570<br>0.720113<br>0.980127<br>0.781385<br>0.6013137<br>0.97016<br>0.84013<br>0.590148<br>0.5514185<br>0.530333<br>0.5502103<br>0.4812233<br>0.490291<br>0.4812518<br>0.4812574<br>0.6013137<br>0.590235 | 0.99017<br>0.930244<br>0.840243<br>0.570114<br>0.790347<br>0.800142<br>10130<br>0.870171<br>0.6812158<br>1016<br>0.89015<br>0.660166<br>0.6203158<br>0.610340<br>0.6102125<br>0.5902110<br>0.590170<br>0.560188<br>0.5601108<br>0.6812158<br>0.660153 |
| average | 0.570.673.051725 | 0.660.382.14114 | 0.740.101.5769 |
| ratio=0.25ratio=0.3ratio=0.35 | | | |
| instance | sizeoptprfails | sizeoptprfails | sizeoptprfails |
| rbg010a<br>rbg016a<br>rbg016b<br>rbg017.2<br>rbg017<br>rbg017a<br>rbg019a<br>rbg019b<br>rbg019c<br>rbg019d<br>rbg020a<br>rbg021.2<br>rbg021.3<br>rbg021.4<br>rbg021.5<br>rbg021.6<br>rbg021.7<br>rbg021.8<br>rbg021.9<br>rbg021<br>rbg027a | 1018<br>10149<br>0.970136<br>0.740131<br>0.950258<br>0.9301143<br>10130<br>0.970172<br>0.8202106<br>1016<br>0.99015<br>0.8001185<br>0.7802128<br>0.7402114<br>0.7401193<br>0.7301132<br>0.710171<br>0.710189<br>0.7101115<br>0.8202106<br>0.8301245 | 1018<br>10149<br>0.990138<br>0.840120<br>0.990156<br>0.9701165<br>10130<br>10172<br>0.9201112<br>1016<br>1015<br>0.9101227<br>0.9002142<br>0.880167<br>0.8801172<br>0.8901145<br>0.820178<br>0.830191<br>0.8301121<br>0.9201112<br>0.9001407 | 1018<br>10149<br>10138<br>0.900120<br>10156<br>101236<br>10130<br>10172<br>0.9501119<br>1016<br>1015<br>0.9501240<br>0.9401129<br>0.940170<br>0.9401173<br>0.9501148<br>0.890178<br>0.900195<br>0.9001122<br>0.9501119<br>0.96011k |
| average | 0.8501.2492 | 0.9301.05101 | 0.9601139 | | 0 |
| BlockingOps | NonblockingOps | Classes |
| --- | --- | --- |
| rbc::Bcast | rbc::Ibcast | rbc::Request |
| rbc::Reduce | rbc::Ireduce | rbc::Comm |
| rbc::Scan | rbc::Iscan | |
| rbc::Gather<br>rbc::Gatherv | rbc::Igather<br>rbc::Igatherv | |
| rbc::Barrier | rbc::Ibarrier | | | | rbc::Send<br>rbc::Recv | rbc::Isend<br>rbc::Irecv | |
| --- | --- | --- |
| rbc::Probe<br>rbc::Wait<br>rbc::Waitall | rbc::Iprobe<br>rbc::Test | |
| | rbc::CreateRBCComm<br>rbc::SplitRBCComm<br>rbc::Commrank<br>rbc::Commsize | | | 1 |
| BlockingOps | NonblockingOps | Classes |
| --- | --- | --- |
| rbc::Bcast | rbc::Ibcast | rbc::Request |
| rbc::Reduce | rbc::Ireduce | rbc::Comm |
| rbc::Scan | rbc::Iscan | |
| rbc::Gather<br>rbc::Gatherv | rbc::Igather<br>rbc::Igatherv | |
| rbc::Barrier | rbc::Ibarrier | | | | rbg010a<br>rbg016a<br>rbg016b<br>rbg017.2<br>rbg017<br>rbg017a<br>rbg019a<br>rbg019b<br>rbg019c<br>rbg019d<br>rbg020a<br>rbg021.2<br>rbg021.3<br>rbg021.4<br>rbg021.5<br>rbg021.6<br>rbg021.7<br>rbg021.8<br>rbg021.9<br>rbg021<br>rbg027a | 1018<br>10149<br>0.970136<br>0.740131<br>0.950258<br>0.9301143<br>10130<br>0.970172<br>0.8202106<br>1016<br>0.99015<br>0.8001185<br>0.7802128<br>0.7402114<br>0.7401193<br>0.7301132<br>0.710171<br>0.710189<br>0.7101115<br>0.8202106<br>0.8301245 | 1018<br>10149<br>0.990138<br>0.840120<br>0.990156<br>0.9701165<br>10130<br>10172<br>0.9201112<br>1016<br>1015<br>0.9101227<br>0.9002142<br>0.880167<br>0.8801172<br>0.8901145<br>0.820178<br>0.830191<br>0.8301121<br>0.9201112<br>0.9001407 | 1018<br>10149<br>10138<br>0.900120<br>10156<br>101236<br>10130<br>10172<br>0.9501119<br>1016<br>1015<br>0.9501240<br>0.9401129<br>0.940170<br>0.9401173<br>0.9501148<br>0.890178<br>0.900195<br>0.9001122<br>0.9501119<br>0.96011k |
| --- | --- | --- | --- |
| average | 0.8501.2492 | 0.9301.05101 | 0.9601139 | | 0 |
| MethodNameDescription |
| --- |
| ExtractSynonymWordreturnssynonymsofaword |
| ExtractHypernymWordreturnshyponymsofaword | | | ExtractSynonymSentencereturnssynonymsofwordsinasentence |
| --- |
| ExtractSynonymFilereturnssynonymsofwordsinafile | | 1 |
| MethodNameDescription |
| --- |
| ExtractSynonymWordreturnssynonymsofaword |
| ExtractHypernymWordreturnshyponymsofaword | | | MethodNameDescription |
| --- |
| ExtractEmailAddressFileReturnsEmailaddressesexistinfile |
| ExtractEmailAddressSentenceReturnsEmailaddressesexistinasentence |
| ExtractIPAddressSentenceReturnsIPaddressesexistinasentence |
| ExtractIPAddressFileReturnsIPaddressesexistinfile | | 0 |
| MethodNameDescription |
| --- |
| ExtractSynonymWordreturnssynonymsofaword | | | ExtractHypernymWordreturnshyponymsofaword |
| --- |
| ExtractSynonymSentencereturnssynonymsofwordsinasentence |
| ExtractSynonymFilereturnssynonymsofwordsinafile | | 1 |
| MethodNameDescription |
| --- |
| ExtractSynonymWordreturnssynonymsofaword | | | ExtractEmailAddressSentenceReturnsEmailaddressesexistinasentence |
| --- |
| ExtractIPAddressSentenceReturnsIPaddressesexistinasentence |
| ExtractIPAddressFileReturnsIPaddressesexistinfile | | 0 |
| 20,000 | 0.452 |
| --- | --- |
| 200,000 | 0.540 |
| 16,384 | 0.626 | | | 8,192 | 0.526 |
| --- | --- |
| 16,384 | 0.598 |
| 32,768 | - |
| 32,768 | 0.646 |
| 65,536 | 0.812 | | 1 |
| 20,000 | 0.452 |
| --- | --- |
| 200,000 | 0.540 |
| 16,384 | 0.626 | | | 3.813 | 4.856 |
| --- | --- |
| 4.960 | 5.494 |
| 4.587 | 5.116 |
| 4.813 | 5.255 |
| 7.609 | 9.448 |
| 4.533 | 4.550 |
| 5.573 | 6.151 | | 0 |
| 20,000 | 0.452 |
| --- | --- |
| 200,000 | 0.540 |
| 16,384 | 0.626 | | | 8,192 | 0.526 |
| --- | --- |
| 16,384 | 0.598 |
| 32,768 | - |
| 32,768 | 0.646 |
| 65,536 | 0.812 | | 1 |
| 20,000 | 0.452 |
| --- | --- |
| 200,000 | 0.540 |
| 16,384 | 0.626 | | | 7.609 | 9.448 |
| --- | --- |
| 4.533 | 4.550 |
| 5.573 | 6.151 | | 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 |
| -classe1830(attendus=169,ramenes=478.00,corrects=47.00)<br>rappel=0.278precision=0.098f-mesure=0.145 |
| -classe1840(attendus=169,ramenes=72.00,corrects=10.00)<br>rappel=0.059precision=0.139f-mesure=0.083 |
| -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 |
| -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 |
| -classe1910(attendus=201,ramenes=61.00,corrects=5.00)<br>rappel=0.025precision=0.082f-mesure=0.038 | | | -classe1920(attendus=200,ramenes=189.00,corrects=16.00)<br>rappel=0.080precision=0.085f-mesure=0.082 |
| --- |
| -classe1930(attendus=200,ramenes=71.00,corrects=7.00)<br>rappel=0.035precision=0.099f-mesure=0.052 |
| -classe1940(attendus=198,ramenes=584.00,corrects=84.00)<br>rappel=0.424precision=0.144f-mesure=0.215 |
| -surl’ensembledes15classes<br>macrorappel=0.109macroprecision=0.102macroF-mesure=0.105 | | 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 |
| -classe1830(attendus=169,ramenes=478.00,corrects=47.00)<br>rappel=0.278precision=0.098f-mesure=0.145 |
| -classe1840(attendus=169,ramenes=72.00,corrects=10.00)<br>rappel=0.059precision=0.139f-mesure=0.083 |
| -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 |
| -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 |
| -classe1910(attendus=201,ramenes=61.00,corrects=5.00)<br>rappel=0.025precision=0.082f-mesure=0.038 | | | -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 |
| -classe1830(attendus=169,ramenes=478.00,corrects=47.00)<br>rappel=0.278precision=0.098f-mesure=0.145 |
| -classe1840(attendus=169,ramenes=72.00,corrects=10.00)<br>rappel=0.059precision=0.139f-mesure=0.083 |
| -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 |
| -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 |
| -classe1910(attendus=201,ramenes=61.00,corrects=5.00)<br>rappel=0.025precision=0.082f-mesure=0.038 |
| -classe1920(attendus=200,ramenes=189.00,corrects=16.00)<br>rappel=0.080precision=0.085f-mesure=0.082 |
| -classe1930(attendus=200,ramenes=71.00,corrects=7.00)<br>rappel=0.035precision=0.099f-mesure=0.052 |
| -classe1940(attendus=198,ramenes=584.00,corrects=84.00)<br>rappel=0.424precision=0.144f-mesure=0.215 |
| -surl’ensembledes15classes<br>macrorappel=0.109macroprecision=0.102macroF-mesure=0.105 | | 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 | | | -classe1830(attendus=169,ramenes=478.00,corrects=47.00)<br>rappel=0.278precision=0.098f-mesure=0.145 |
| --- |
| -classe1840(attendus=169,ramenes=72.00,corrects=10.00)<br>rappel=0.059precision=0.139f-mesure=0.083 |
| -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 |
| -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 |
| -classe1910(attendus=201,ramenes=61.00,corrects=5.00)<br>rappel=0.025precision=0.082f-mesure=0.038 |
| -classe1920(attendus=200,ramenes=189.00,corrects=16.00)<br>rappel=0.080precision=0.085f-mesure=0.082 |
| -classe1930(attendus=200,ramenes=71.00,corrects=7.00)<br>rappel=0.035precision=0.099f-mesure=0.052 |
| -classe1940(attendus=198,ramenes=584.00,corrects=84.00)<br>rappel=0.424precision=0.144f-mesure=0.215 |
| -surl’ensembledes15classes<br>macrorappel=0.109macroprecision=0.102macroF-mesure=0.105 | | 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 | | | -classe1840(attendus=169,ramenes=72.00,corrects=10.00)<br>rappel=0.059precision=0.139f-mesure=0.083 |
| --- |
| -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 |
| -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 |
| -classe1910(attendus=201,ramenes=61.00,corrects=5.00)<br>rappel=0.025precision=0.082f-mesure=0.038 |
| -classe1920(attendus=200,ramenes=189.00,corrects=16.00)<br>rappel=0.080precision=0.085f-mesure=0.082 |
| -classe1930(attendus=200,ramenes=71.00,corrects=7.00)<br>rappel=0.035precision=0.099f-mesure=0.052 |
| -classe1940(attendus=198,ramenes=584.00,corrects=84.00)<br>rappel=0.424precision=0.144f-mesure=0.215 |
| -surl’ensembledes15classes<br>macrorappel=0.109macroprecision=0.102macroF-mesure=0.105 | | 0 |
| Year | dataset | #Subjects | #Real/Fake | Typesofattacks |
| --- | --- | --- | --- | --- |
| 2012 | Pintoetal. | 50 | 100/600 | 1.Videoplayback | | | 2012 | BERCWebcam | 25 | 1408/7461 | 1.Flatprintedphoto |
| --- | --- | --- | --- | --- |
| 2012 | BERCATM | 20 | 1797/5802 | 1.Flatprintedphoto |
| 2013 | Wangetal. | 50 | 750/2250 | 1.Flatprintedphoto<br>2.Warpedphoto | | 1 |
| Year | dataset | #Subjects | #Real/Fake | Typesofattacks |
| --- | --- | --- | --- | --- |
| 2012 | Pintoetal. | 50 | 100/600 | 1.Videoplayback | | | Dataset | #ofsamples | #ofclasses | #ofattributes |
| --- | --- | --- | --- |
| Breastcancer | 286 | 2 | 9 |
| Diabetes | 768 | 2 | 8 |
| SolarFlare | 144 | 3 | 9 |
| German | 1000 | 2 | 20 |
| Heart | 270 | 2 | 13 |
| Image | 2310 | 7 | 19 |
| Ringnorm | 7400 | 2 | 20 |
| Splice | 3190 | 3 | 60 |
| Thyroid | 215 | 3 | 5 |
| Twonorm | 7400 | 2 | 20 |
| Waveform | 5000 | 3 | 21 | | 0 |
| Year | dataset | #Subjects | #Real/Fake | Typesofattacks |
| --- | --- | --- | --- | --- |
| 2012 | Pintoetal. | 50 | 100/600 | 1.Videoplayback | | | 2012 | BERCWebcam | 25 | 1408/7461 | 1.Flatprintedphoto |
| --- | --- | --- | --- | --- |
| 2012 | BERCATM | 20 | 1797/5802 | 1.Flatprintedphoto |
| 2013 | Wangetal. | 50 | 750/2250 | 1.Flatprintedphoto<br>2.Warpedphoto | | 1 |
| Year | dataset | #Subjects | #Real/Fake | Typesofattacks |
| --- | --- | --- | --- | --- |
| 2012 | Pintoetal. | 50 | 100/600 | 1.Videoplayback | | | Twonorm | 7400 | 2 | 20 |
| --- | --- | --- | --- |
| Waveform | 5000 | 3 | 21 | | 0 |
| Names | Expected | January | February | March |
| --- | --- | --- | --- | --- |
| JeanKam | 450000 | 80000 | 25000 | 60000 | | | Menwick | 50000 | 20000 | 20000 | 70000 |
| --- | --- | --- | --- | --- |
| SarahDong | 180000 | 5000 | 5000 | 80000 |
| FaridAL | 45000 | 15000 | 500000 | 30000 |
| SlyDolce | 150000 | 150000 | 30000 | 10000 |
| LyneWirl | 200000 | 100000 | 250000 | 100000 |
| EddyEko | 35000 | 25000 | 10000 | 5000 |
| JackFack | 70000 | 35000 | 40000 | 15000 | | 1 |
| Names | Expected | January | February | March |
| --- | --- | --- | --- | --- |
| JeanKam | 450000 | 80000 | 25000 | 60000 | | | Names | Expected | January | February | March |
| --- | --- | --- | --- | --- |
| JeanKam | 150000 | 20000 | 30000 | 80000 |
| SlyDolce | 35000 | 5000 | 25000 | 15000 |
| Menwick | 70000 | 35000 | 5000 | 10000 |
| SarahDong | 45000 | 25000 | 10000 | 5000 |
| EddyEko | 50000 | 15000 | 20000 | 30000 |
| LyneWirl | 180000 | 100000 | 50000 | 70000 |
| JackFack | 200000 | 80000 | 40000 | 60000 |
| FaridAl | 450000 | 150000 | 200000 | 100000 | | 0 |
| Names | Expected | January | February | March |
| --- | --- | --- | --- | --- |
| JeanKam | 450000 | 80000 | 25000 | 60000 |
| Menwick | 50000 | 20000 | 20000 | 70000 | | | SarahDong | 180000 | 5000 | 5000 | 80000 |
| --- | --- | --- | --- | --- |
| FaridAL | 45000 | 15000 | 500000 | 30000 |
| SlyDolce | 150000 | 150000 | 30000 | 10000 |
| LyneWirl | 200000 | 100000 | 250000 | 100000 |
| EddyEko | 35000 | 25000 | 10000 | 5000 |
| JackFack | 70000 | 35000 | 40000 | 15000 | | 1 |
| Names | Expected | January | February | March |
| --- | --- | --- | --- | --- |
| JeanKam | 450000 | 80000 | 25000 | 60000 |
| Menwick | 50000 | 20000 | 20000 | 70000 | | | SlyDolce | 35000 | 5000 | 25000 | 15000 |
| --- | --- | --- | --- | --- |
| Menwick | 70000 | 35000 | 5000 | 10000 |
| SarahDong | 45000 | 25000 | 10000 | 5000 |
| EddyEko | 50000 | 15000 | 20000 | 30000 |
| LyneWirl | 180000 | 100000 | 50000 | 70000 |
| JackFack | 200000 | 80000 | 40000 | 60000 |
| FaridAl | 450000 | 150000 | 200000 | 100000 | | 0 |
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