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int64
| | EC | TC | WT | | --- | --- | --- | --- | | Unetaxialslices | 71.4 | 76.6 | 87.7 | | 2Dmodel1axialslices | 71.1 | 78.4 | 88.6 | | 2Dmodel2axialslices | 68.0 | 78.3 | 88.1 | | Standard3Dmodel(without2Dfeatures) | 68.7 | 74.2 | 85.4 | | *2D-3DmodelA,featuresfrom2Dmodel1 | 76.7 | 79.5 | 89.3 | | *2D-3DmodelB,featuresfrom2Dmodel1 | 76.6 | 79.1 | 89.1 | | *2D-3DmodelC,featuresfrom2Dmodel1 | 76.9 | 78.3 | 89.4 |
| *2D-3DmodelA,featuresfrom2Dmodel2 | 73.4 | 79.5 | 89.7 | | --- | --- | --- | --- | | *2D-3DmodelB,featuresfrom2Dmodel2 | 74.1 | 79.4 | 89.5 | | *2D-3DmodelC,featuresfrom2Dmodel2 | 74.3 | 79.4 | 89.6 | | Finalsegmentation:ensemblingofmodels* | 77.2 | 80.8 | 90.0 |
1
| | EC | TC | WT | | --- | --- | --- | --- | | Unetaxialslices | 71.4 | 76.6 | 87.7 | | 2Dmodel1axialslices | 71.1 | 78.4 | 88.6 | | 2Dmodel2axialslices | 68.0 | 78.3 | 88.1 | | Standard3Dmodel(without2Dfeatures) | 68.7 | 74.2 | 85.4 | | *2D-3DmodelA,featuresfrom2Dmodel1 | 76.7 | 79.5 | 89.3 | | *2D-3DmodelB,featuresfrom2Dmodel1 | 76.6 | 79.1 | 89.1 | | *2D-3DmodelC,featuresfrom2Dmodel1 | 76.9 | 78.3 | 89.4 |
| Exp | DB | NetA | Ach | NetB | α | β | LR | Momentum | | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | db1 | 1 | 1 | B1 | 0.3 | 0.7 | 0.01 | 0.9 | | 2 | db1 | 1 | 2 | B1 | 0.3 | 0.7 | 0.01 | 0.9 | | 3 | db1 | 1 | 3 | B1 | 0.3 | 0.7 | 0.01 | 0.9 | | 4 | db1 | 1 | 4 | B1 | 0.3 | 0.7 | 0.01 | 0.9 | | 5 | db1 | 1 | 5 | B1 | 0.3 | 0.7 | 0.01 | 0.9 | | 6 | db1 | 1 | 6 | B1 | 0.3 | 0.7 | 0.01 | 0.9 | | 7 | db1 | 1 | 7 | B1 | 0.3 | 0.7 | 0.01 | 0.9 | | 8 | db1 | 1 | 8 | B1 | 0.3 | 0.7 | 0.01 | 0.9 | | 9 | db1 | 2 | 1 | B1 | 0.3 | 0.7 | 0.005 | 0.9 | | 10 | db1 | 2 | 2 | B1 | 0.3 | 0.7 | 0.005 | 0.9 | | 11 | db1 | 2 | 3 | B1 | 0.3 | 0.7 | 0.005 | 0.9 | | 12 | db1 | 2 | 4 | B1 | 0.3 | 0.7 | 0.005 | 0.9 | | 13 | db1 | 2 | 5 | B1 | 0.3 | 0.7 | 0.005 | 0.9 | | 14 | db1 | 2 | 6 | B1 | 0.3 | 0.7 | 0.005 | 0.9 | | 15 | db1 | 2 | 7 | B1 | 0.3 | 0.7 | 0.005 | 0.9 | | 16 | db1 | 2 | 8 | B1 | 0.3 | 0.7 | 0.005 | 0.9 | | 17 | db1 | NA | NA | B1 | NA | NA | 0.01 | 0.9 | | 18 | db1a | NA | NA | B1 | NA | NA | 0.01 | 0.9 | | 19 | db1a | 1 | 2 | B1 | 0.3 | 0.7 | 0.01 | 0.9 | | 20 | db1a | 2 | 2 | B1 | 0.3 | 0.7 | 0.005 | 0.9 | | 21 | db2 | NA | NA | B1 | NA | NA | 0.01 | 0.9 | | 22 | db2 | 1 | 2 | B1 | 0.3 | 0.7 | 0.01 | 0.9 | | 23 | db3 | NA | NA | B1 | NA | NA | 0.01 | 0.9 | | 24 | db3 | 1 | 2 | B1 | 0.3 | 0.7 | 0.01 | 0.9 | | 25 | db4 | NA | NA | B2 | NA | NA | 0.005 | 0.9 | | 26 | db4 | NA | NA | B1 | NA | NA | 0.005 | 0.9 | | 27 | db4 | 1 | 2 | B1 | 0.3 | 0.7 | 0.01 | 0.9 | | 28 | db4 | 1 | 2 | B1 | 0.7 | 0.3 | 0.01 | 0.9 | | 29 | db4 | 2 | 2 | B1 | 0.7 | 0.3 | 0.005 | 0.9 | | 30 | db4 | 2 | 2 | B1 | 0.3 | 0.7 | 0.005 | 0.9 |
0
| | EC | TC | WT | | --- | --- | --- | --- | | Unetaxialslices | 71.4 | 76.6 | 87.7 | | 2Dmodel1axialslices | 71.1 | 78.4 | 88.6 | | 2Dmodel2axialslices | 68.0 | 78.3 | 88.1 |
| Standard3Dmodel(without2Dfeatures) | 68.7 | 74.2 | 85.4 | | --- | --- | --- | --- | | *2D-3DmodelA,featuresfrom2Dmodel1 | 76.7 | 79.5 | 89.3 | | *2D-3DmodelB,featuresfrom2Dmodel1 | 76.6 | 79.1 | 89.1 | | *2D-3DmodelC,featuresfrom2Dmodel1 | 76.9 | 78.3 | 89.4 | | *2D-3DmodelA,featuresfrom2Dmodel2 | 73.4 | 79.5 | 89.7 | | *2D-3DmodelB,featuresfrom2Dmodel2 | 74.1 | 79.4 | 89.5 | | *2D-3DmodelC,featuresfrom2Dmodel2 | 74.3 | 79.4 | 89.6 | | Finalsegmentation:ensemblingofmodels* | 77.2 | 80.8 | 90.0 |
1
| | EC | TC | WT | | --- | --- | --- | --- | | Unetaxialslices | 71.4 | 76.6 | 87.7 | | 2Dmodel1axialslices | 71.1 | 78.4 | 88.6 | | 2Dmodel2axialslices | 68.0 | 78.3 | 88.1 |
| 28 | db4 | 1 | 2 | B1 | 0.7 | 0.3 | 0.01 | 0.9 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 29 | db4 | 2 | 2 | B1 | 0.7 | 0.3 | 0.005 | 0.9 | | 30 | db4 | 2 | 2 | B1 | 0.3 | 0.7 | 0.005 | 0.9 |
0
| Task-Dataset | SP | V2008 | SC2000 | ZWH2008 | LS2008 | All | | --- | --- | --- | --- | --- | --- | --- | | TREC-SPAM<br>(10-foldAVG) | 2100 | 56000 | 3900 | 29220 | 3160 | 56000 | | 98.33 | 98.47 | 98.41 | 98.44 | 96.63 | 98.47 | | | 20Newsgroups<br>(20-catAVG) | 678 | 181 | 1984 | 1340 | 1669 | 11280 | | 60.85 | 18.06 | 55.43 | 60.72 | 54.79 | 54.81 | | | Spamassassin<br>(10-foldAVG) | 326 | 4362 | 862 | 398 | 1176 | 5400 | | 94.57 | 95.00 | 95.53 | 95.94 | 95.62 | 95.63 | | | NER-protein<br>(10-foldAVG) | 8720 | 67220 | 17680 | 18580 | 2360 | 67220 | | 89.48 | 90.28 | 90.38 | 90.31 | 76.47 | 90.28 | | | NER-DNA<br>(10-foldAVG) | 4020 | 67220 | 10640 | 7200 | 3900 | 67220 | | 82.40 | 84.31 | 84.73 | 84.51 | 74.74 | 84.31 | | | NER-cellType<br>(10-foldAVG) | 3840 | 29600 | 5540 | 11580 | 4580 | 67220 | | 86.15 | 86.87 | 87.19 | 87.32 | 85.65 | 87.83 | | | Reuters<br>(10-catAVG) | 484 | 6762 | 1196 | 650 | 1272 | 9580 | | 74.29 | 65.81 | 73.88 | 76.77 | 74.00 | 75.64 | | | WKB-Course<br>(10-foldAVG) | 790 | 184 | 1752 | 912 | 1740 | 7420 | | 83.12 | 30.34 | 80.47 | 83.16 | 80.55 | 80.19 | | | WKB-Faculty<br>(10-foldAVG) | 808 | 892 | 1932 | 1062 | 1818 | 7420 | | 81.53 | 40.14 | 81.79 | 81.64 | 81.99 | 82.36 | |
| WKB-Project<br>(10-foldAVG) | 646 | 916 | 1358 | 794 | 1482 | 7420 | | --- | --- | --- | --- | --- | --- | --- | | 63.30 | 25.33 | 58.11 | 61.82 | 59.30 | 61.19 | | | WKB-Student<br>(10-foldAVG) | 1258 | 894 | 2400 | 1468 | 2150 | 7420 | | 84.70 | 50.66 | 83.46 | 84.39 | 83.19 | 83.30 | | | Average<br>(macro-avg) | 2152 | 21294 | 4477 | 6655 | 2301 | 28509 | | 81.70 | 62.30 | 80.85 | 82.27 | 78.45 | 81.27 | |
1
| Task-Dataset | SP | V2008 | SC2000 | ZWH2008 | LS2008 | All | | --- | --- | --- | --- | --- | --- | --- | | TREC-SPAM<br>(10-foldAVG) | 2100 | 56000 | 3900 | 29220 | 3160 | 56000 | | 98.33 | 98.47 | 98.41 | 98.44 | 96.63 | 98.47 | | | 20Newsgroups<br>(20-catAVG) | 678 | 181 | 1984 | 1340 | 1669 | 11280 | | 60.85 | 18.06 | 55.43 | 60.72 | 54.79 | 54.81 | | | Spamassassin<br>(10-foldAVG) | 326 | 4362 | 862 | 398 | 1176 | 5400 | | 94.57 | 95.00 | 95.53 | 95.94 | 95.62 | 95.63 | | | NER-protein<br>(10-foldAVG) | 8720 | 67220 | 17680 | 18580 | 2360 | 67220 | | 89.48 | 90.28 | 90.38 | 90.31 | 76.47 | 90.28 | | | NER-DNA<br>(10-foldAVG) | 4020 | 67220 | 10640 | 7200 | 3900 | 67220 | | 82.40 | 84.31 | 84.73 | 84.51 | 74.74 | 84.31 | | | NER-cellType<br>(10-foldAVG) | 3840 | 29600 | 5540 | 11580 | 4580 | 67220 | | 86.15 | 86.87 | 87.19 | 87.32 | 85.65 | 87.83 | | | Reuters<br>(10-catAVG) | 484 | 6762 | 1196 | 650 | 1272 | 9580 | | 74.29 | 65.81 | 73.88 | 76.77 | 74.00 | 75.64 | | | WKB-Course<br>(10-foldAVG) | 790 | 184 | 1752 | 912 | 1740 | 7420 | | 83.12 | 30.34 | 80.47 | 83.16 | 80.55 | 80.19 | | | WKB-Faculty<br>(10-foldAVG) | 808 | 892 | 1932 | 1062 | 1818 | 7420 | | 81.53 | 40.14 | 81.79 | 81.64 | 81.99 | 82.36 | |
| Task-Dataset | VarianceofK | | --- | --- | | NER-DNA(10-foldCV) | 0.0000223 | | NER-cellType(10-foldCV) | 0.0000211 | | NER-protein(10-foldCV) | 0.0000074 | | Reuters(10Categories) | 0.0000298 | | 20Newsgroups(20Categories) | 0.0000739 | | WebKBStudent(10-foldCV) | 0.0000137 | | WebKBProject(10-foldCV) | 0.0000190 | | WebKBFaculty(10-foldCV) | 0.0000115 | | WebKBCourse(10-foldCV) | 0.0000179 | | TC-spamassassin(10-foldCV) | 0.0000042 | | TC-TREC-SPAM(10-foldCV) | 0.0000043 | | Average(macro-avg) | 0.0000209 |
0
| Task-Dataset | SP | V2008 | SC2000 | ZWH2008 | LS2008 | All | | --- | --- | --- | --- | --- | --- | --- | | TREC-SPAM<br>(10-foldAVG) | 2100 | 56000 | 3900 | 29220 | 3160 | 56000 | | 98.33 | 98.47 | 98.41 | 98.44 | 96.63 | 98.47 | | | 20Newsgroups<br>(20-catAVG) | 678 | 181 | 1984 | 1340 | 1669 | 11280 | | 60.85 | 18.06 | 55.43 | 60.72 | 54.79 | 54.81 | | | Spamassassin<br>(10-foldAVG) | 326 | 4362 | 862 | 398 | 1176 | 5400 | | 94.57 | 95.00 | 95.53 | 95.94 | 95.62 | 95.63 | | | NER-protein<br>(10-foldAVG) | 8720 | 67220 | 17680 | 18580 | 2360 | 67220 | | 89.48 | 90.28 | 90.38 | 90.31 | 76.47 | 90.28 | | | NER-DNA<br>(10-foldAVG) | 4020 | 67220 | 10640 | 7200 | 3900 | 67220 | | 82.40 | 84.31 | 84.73 | 84.51 | 74.74 | 84.31 | | | NER-cellType<br>(10-foldAVG) | 3840 | 29600 | 5540 | 11580 | 4580 | 67220 | | 86.15 | 86.87 | 87.19 | 87.32 | 85.65 | 87.83 | | | Reuters<br>(10-catAVG) | 484 | 6762 | 1196 | 650 | 1272 | 9580 | | 74.29 | 65.81 | 73.88 | 76.77 | 74.00 | 75.64 | | | WKB-Course<br>(10-foldAVG) | 790 | 184 | 1752 | 912 | 1740 | 7420 | | 83.12 | 30.34 | 80.47 | 83.16 | 80.55 | 80.19 | | | WKB-Faculty<br>(10-foldAVG) | 808 | 892 | 1932 | 1062 | 1818 | 7420 | | 81.53 | 40.14 | 81.79 | 81.64 | 81.99 | 82.36 | | | WKB-Project<br>(10-foldAVG) | 646 | 916 | 1358 | 794 | 1482 | 7420 | | 63.30 | 25.33 | 58.11 | 61.82 | 59.30 | 61.19 | |
| WKB-Student<br>(10-foldAVG) | 1258 | 894 | 2400 | 1468 | 2150 | 7420 | | --- | --- | --- | --- | --- | --- | --- | | 84.70 | 50.66 | 83.46 | 84.39 | 83.19 | 83.30 | | | Average<br>(macro-avg) | 2152 | 21294 | 4477 | 6655 | 2301 | 28509 | | 81.70 | 62.30 | 80.85 | 82.27 | 78.45 | 81.27 | |
1
| Task-Dataset | SP | V2008 | SC2000 | ZWH2008 | LS2008 | All | | --- | --- | --- | --- | --- | --- | --- | | TREC-SPAM<br>(10-foldAVG) | 2100 | 56000 | 3900 | 29220 | 3160 | 56000 | | 98.33 | 98.47 | 98.41 | 98.44 | 96.63 | 98.47 | | | 20Newsgroups<br>(20-catAVG) | 678 | 181 | 1984 | 1340 | 1669 | 11280 | | 60.85 | 18.06 | 55.43 | 60.72 | 54.79 | 54.81 | | | Spamassassin<br>(10-foldAVG) | 326 | 4362 | 862 | 398 | 1176 | 5400 | | 94.57 | 95.00 | 95.53 | 95.94 | 95.62 | 95.63 | | | NER-protein<br>(10-foldAVG) | 8720 | 67220 | 17680 | 18580 | 2360 | 67220 | | 89.48 | 90.28 | 90.38 | 90.31 | 76.47 | 90.28 | | | NER-DNA<br>(10-foldAVG) | 4020 | 67220 | 10640 | 7200 | 3900 | 67220 | | 82.40 | 84.31 | 84.73 | 84.51 | 74.74 | 84.31 | | | NER-cellType<br>(10-foldAVG) | 3840 | 29600 | 5540 | 11580 | 4580 | 67220 | | 86.15 | 86.87 | 87.19 | 87.32 | 85.65 | 87.83 | | | Reuters<br>(10-catAVG) | 484 | 6762 | 1196 | 650 | 1272 | 9580 | | 74.29 | 65.81 | 73.88 | 76.77 | 74.00 | 75.64 | | | WKB-Course<br>(10-foldAVG) | 790 | 184 | 1752 | 912 | 1740 | 7420 | | 83.12 | 30.34 | 80.47 | 83.16 | 80.55 | 80.19 | | | WKB-Faculty<br>(10-foldAVG) | 808 | 892 | 1932 | 1062 | 1818 | 7420 | | 81.53 | 40.14 | 81.79 | 81.64 | 81.99 | 82.36 | | | WKB-Project<br>(10-foldAVG) | 646 | 916 | 1358 | 794 | 1482 | 7420 | | 63.30 | 25.33 | 58.11 | 61.82 | 59.30 | 61.19 | |
| NER-cellType(10-foldCV) | 0.0000211 | | --- | --- | | NER-protein(10-foldCV) | 0.0000074 | | Reuters(10Categories) | 0.0000298 | | 20Newsgroups(20Categories) | 0.0000739 | | WebKBStudent(10-foldCV) | 0.0000137 | | WebKBProject(10-foldCV) | 0.0000190 | | WebKBFaculty(10-foldCV) | 0.0000115 | | WebKBCourse(10-foldCV) | 0.0000179 | | TC-spamassassin(10-foldCV) | 0.0000042 | | TC-TREC-SPAM(10-foldCV) | 0.0000043 | | Average(macro-avg) | 0.0000209 |
0
| Dataset | IntrinsicDimension | | --- | --- | | MNIST | 16 |
| CIFAR-10 | 17 | | --- | --- | | SAT-6 | 115 | | HaralickFeaturesextractedfromSAT-6 | 4.2 |
1
| Dataset | IntrinsicDimension | | --- | --- | | MNIST | 16 |
| Dataset | Input | Relevance | Readability | | --- | --- | --- | --- | | MSCOCO | GroundTruth | 3.38 | 4.68 | | | SystemOutput | 3.0 | 3.84 | | Quora | GroundTruth | 4.82 | 4.94 | | | SystemOutput | 3.57 | 4.08 |
0
| Dataset | IntrinsicDimension | | --- | --- | | MNIST | 16 |
| CIFAR-10 | 17 | | --- | --- | | SAT-6 | 115 | | HaralickFeaturesextractedfromSAT-6 | 4.2 |
1
| Dataset | IntrinsicDimension | | --- | --- | | MNIST | 16 |
| Quora | GroundTruth | 4.82 | 4.94 | | --- | --- | --- | --- | | | SystemOutput | 3.57 | 4.08 |
0
| No. | ptsnum | BeltramiEquation | GeneralizedLaplace | | | | --- | --- | --- | --- | --- | --- | | collocation | EFG | collocation | EFG | | | | 1 | 24<br>2<br>32<br>2<br>48<br>2<br>64 | 3.037E-05<br>1.711E-05<br>7.668E-06<br>5.416E-06 | 2.020E-05<br>1.365E-05<br>3.056E-06<br>1.777E-06 | 3.706E-05<br>1.928E-05<br>7.926E-06<br>4.364E-06 | 3.263E-03<br>2.159E-03<br>9.497E-04<br>6.018E-04 |
| 2 | 24<br>2<br>32<br>2<br>48<br>2<br>64 | 2.588E-04<br>1.012E-04<br>3.772E-05<br>1.391E-05 | 1.928E-04<br>1.180E-04<br>3.790E-05<br>2.454E-05 | 2.545E-04<br>1.834E-04<br>5.061E-05<br>3.296E-05 | 1.372E-02<br>1.040E-02<br>6.994E-03<br>5.620E-03 | | --- | --- | --- | --- | --- | --- | | 3 | 1047<br>1807<br>4132<br>7185 | 1.479E-05<br>8.580E-06<br>4.042E-06<br>2.018E-06 | 1.444E-05<br>5.818E-06<br>2.019E-06<br>1.123E-06 | 3.101E-06<br>1.293E-06<br>1.433E-06<br>5.923E-07 | 1.303E-01<br>8.692E-02<br>6.142E-02<br>4.618E-02 |
1
| No. | ptsnum | BeltramiEquation | GeneralizedLaplace | | | | --- | --- | --- | --- | --- | --- | | collocation | EFG | collocation | EFG | | | | 1 | 24<br>2<br>32<br>2<br>48<br>2<br>64 | 3.037E-05<br>1.711E-05<br>7.668E-06<br>5.416E-06 | 2.020E-05<br>1.365E-05<br>3.056E-06<br>1.777E-06 | 3.706E-05<br>1.928E-05<br>7.926E-06<br>4.364E-06 | 3.263E-03<br>2.159E-03<br>9.497E-04<br>6.018E-04 |
| No. | ptsnum | BeltramiEquation | GeneralizedLaplace | | | | --- | --- | --- | --- | --- | --- | | collocation | EFG | collocation | EFG | | | | 1 | 24<br>2<br>32<br>2<br>48<br>2<br>64 | 4.477E-05<br>2.384E-05<br>1.015E-05<br>7.254E-06 | 9.434E-04<br>5.332E-04<br>1.454E-04<br>1.087E-04 | 6.906E-04<br>3.839E-04<br>1.686E-04<br>9.599E-05 | 1.610E-01<br>1.287E-01<br>6.291E-02<br>4.055E-02 | | 2 | 24<br>2<br>32<br>2<br>48<br>2<br>64 | 2.980E-04<br>1.664E-04<br>4.348E-05<br>1.703E-05 | 3.665E-03<br>2.732E-03<br>1.241E-03<br>1.053E-03 | 1.660E-03<br>1.458E-03<br>3.923E-04<br>2.593E-04 | 4.188E-01<br>4.190E-01<br>3.992E-01<br>3.977E-01 | | 3 | 1047<br>1807<br>4132<br>7185 | 9.719E-05<br>7.198E-05<br>5.201E-05<br>3.491E-05 | 9.882E-05<br>5.451E-05<br>2.922E-05<br>2.005E-05 | 1.907E-05<br>1.007E-05<br>4.797E-06<br>2.813E-06 | 1.934E+00<br>1.691E+00<br>2.028E+00<br>1.840E+00 |
0
| No. | ptsnum | BeltramiEquation | GeneralizedLaplace | | --- | --- | --- | --- | | collocation | EFG | collocation | EFG |
| 1 | 24<br>2<br>32<br>2<br>48<br>2<br>64 | 3.037E-05<br>1.711E-05<br>7.668E-06<br>5.416E-06 | 2.020E-05<br>1.365E-05<br>3.056E-06<br>1.777E-06 | 3.706E-05<br>1.928E-05<br>7.926E-06<br>4.364E-06 | 3.263E-03<br>2.159E-03<br>9.497E-04<br>6.018E-04 | | --- | --- | --- | --- | --- | --- | | 2 | 24<br>2<br>32<br>2<br>48<br>2<br>64 | 2.588E-04<br>1.012E-04<br>3.772E-05<br>1.391E-05 | 1.928E-04<br>1.180E-04<br>3.790E-05<br>2.454E-05 | 2.545E-04<br>1.834E-04<br>5.061E-05<br>3.296E-05 | 1.372E-02<br>1.040E-02<br>6.994E-03<br>5.620E-03 | | 3 | 1047<br>1807<br>4132<br>7185 | 1.479E-05<br>8.580E-06<br>4.042E-06<br>2.018E-06 | 1.444E-05<br>5.818E-06<br>2.019E-06<br>1.123E-06 | 3.101E-06<br>1.293E-06<br>1.433E-06<br>5.923E-07 | 1.303E-01<br>8.692E-02<br>6.142E-02<br>4.618E-02 |
1
| No. | ptsnum | BeltramiEquation | GeneralizedLaplace | | --- | --- | --- | --- | | collocation | EFG | collocation | EFG |
| 1 | 24<br>2<br>32<br>2<br>48<br>2<br>64 | 4.477E-05<br>2.384E-05<br>1.015E-05<br>7.254E-06 | 9.434E-04<br>5.332E-04<br>1.454E-04<br>1.087E-04 | 6.906E-04<br>3.839E-04<br>1.686E-04<br>9.599E-05 | 1.610E-01<br>1.287E-01<br>6.291E-02<br>4.055E-02 | | --- | --- | --- | --- | --- | --- | | 2 | 24<br>2<br>32<br>2<br>48<br>2<br>64 | 2.980E-04<br>1.664E-04<br>4.348E-05<br>1.703E-05 | 3.665E-03<br>2.732E-03<br>1.241E-03<br>1.053E-03 | 1.660E-03<br>1.458E-03<br>3.923E-04<br>2.593E-04 | 4.188E-01<br>4.190E-01<br>3.992E-01<br>3.977E-01 | | 3 | 1047<br>1807<br>4132<br>7185 | 9.719E-05<br>7.198E-05<br>5.201E-05<br>3.491E-05 | 9.882E-05<br>5.451E-05<br>2.922E-05<br>2.005E-05 | 1.907E-05<br>1.007E-05<br>4.797E-06<br>2.813E-06 | 1.934E+00<br>1.691E+00<br>2.028E+00<br>1.840E+00 |
0
| Seed | #Resources | #Users | #Tags | #Tripples | | --- | --- | --- | --- | --- | | Flytecomm | 3,562 | 34,594 | 14,297 | 2,284,308 | | Geocoder | 5,572 | 46,764 | 16,887 | 3,775,832 |
| Wunderground | 7,176 | 45,852 | 77,056 | 6,327,211 | | --- | --- | --- | --- | --- | | Whitepages | 6,455 | 12,357 | 64,591 | 2,843,427 | | Online-Resevationz | 764 | 41,003 | 9,194 | 162,763 |
1
| Seed | #Resources | #Users | #Tags | #Tripples | | --- | --- | --- | --- | --- | | Flytecomm | 3,562 | 34,594 | 14,297 | 2,284,308 | | Geocoder | 5,572 | 46,764 | 16,887 | 3,775,832 |
| 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 |
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| Seed | #Resources | #Users | #Tags | #Tripples | | --- | --- | --- | --- | --- | | Flytecomm | 3,562 | 34,594 | 14,297 | 2,284,308 | | Geocoder | 5,572 | 46,764 | 16,887 | 3,775,832 |
| Wunderground | 7,176 | 45,852 | 77,056 | 6,327,211 | | --- | --- | --- | --- | --- | | Whitepages | 6,455 | 12,357 | 64,591 | 2,843,427 | | Online-Resevationz | 764 | 41,003 | 9,194 | 162,763 |
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| Seed | #Resources | #Users | #Tags | #Tripples | | --- | --- | --- | --- | --- | | Flytecomm | 3,562 | 34,594 | 14,297 | 2,284,308 | | Geocoder | 5,572 | 46,764 | 16,887 | 3,775,832 |
| 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 |
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| SL | AminoAcid | Short | Index | | --- | --- | --- | --- | | 1 | Glycine | GLY | -0.4 | | 2 | Alanine | ALA | 1.8 | | 3 | Proline | PRO | 1.6 | | 4 | Valine | VAL | 4.2 | | 5 | Leucine | LEU | 3.8 | | 6 | Isoleucine | ILE | 4.5 | | 7 | Methionine | MET | 1.9 | | 8 | Phenylalanine | PHE | 2.8 | | 9 | Tyrosine | TYR | -1.3 | | 10 | Tryptophan | TRP | -0.9 | | 11 | Serine | SER | -0.8 |
| 12 | Threonine | THR | -0.7 | | --- | --- | --- | --- | | 13 | Cysteine | CYS | 2.5 | | 14 | Asparagine | ASN | -3.5 | | 15 | Glutamine | GLN | -3.5 | | 16 | Lysine | LYS | -3.9 | | 17 | Histidine | HIS | -3.2 | | 18 | Arginine | ARG | -4.5 | | 19 | Aspartate | ASP | -3.5 | | 20 | Glutamate | GLU | -3.5 |
1
| SL | AminoAcid | Short | Index | | --- | --- | --- | --- | | 1 | Glycine | GLY | -0.4 | | 2 | Alanine | ALA | 1.8 | | 3 | Proline | PRO | 1.6 | | 4 | Valine | VAL | 4.2 | | 5 | Leucine | LEU | 3.8 | | 6 | Isoleucine | ILE | 4.5 | | 7 | Methionine | MET | 1.9 | | 8 | Phenylalanine | PHE | 2.8 | | 9 | Tyrosine | TYR | -1.3 | | 10 | Tryptophan | TRP | -0.9 | | 11 | Serine | SER | -0.8 |
| word1 | word2 | similarities(cosine-dist) | remark | | --- | --- | --- | --- | | dilantin | tegretol | 0.75135758 | drug-drug | | phenytoin | dilantin | 0.62360351 | drug-drug | | phenytoin | tegretol | 0.51322415 | drug-drug | | cholestyramine | dilantin | 0.24557819 | drug-drug | | cholestyramine | phenytoin | 0.23701277 | drug-drug | | administration | patients | 0.20459694 | non-drug-non-drug | | tegretol | may | 0.11605539 | drug-non-drug | | cholestyramine | patients | 0.08827197 | drug-non-drug | | evaluated | end | 0.07379115 | non-drug-non-drug | | within | controlled | 0.06111103 | non-drug-non-drug | | cholestyramine | evaluated | 0.04024139 | drug-non-drug | | dilantin | end | 0.02234770 | drug-non-drug |
0
| SL | AminoAcid | Short | Index | | --- | --- | --- | --- | | 1 | Glycine | GLY | -0.4 | | 2 | Alanine | ALA | 1.8 | | 3 | Proline | PRO | 1.6 | | 4 | Valine | VAL | 4.2 | | 5 | Leucine | LEU | 3.8 | | 6 | Isoleucine | ILE | 4.5 | | 7 | Methionine | MET | 1.9 | | 8 | Phenylalanine | PHE | 2.8 | | 9 | Tyrosine | TYR | -1.3 |
| 10 | Tryptophan | TRP | -0.9 | | --- | --- | --- | --- | | 11 | Serine | SER | -0.8 | | 12 | Threonine | THR | -0.7 | | 13 | Cysteine | CYS | 2.5 | | 14 | Asparagine | ASN | -3.5 | | 15 | Glutamine | GLN | -3.5 | | 16 | Lysine | LYS | -3.9 | | 17 | Histidine | HIS | -3.2 | | 18 | Arginine | ARG | -4.5 | | 19 | Aspartate | ASP | -3.5 | | 20 | Glutamate | GLU | -3.5 |
1
| SL | AminoAcid | Short | Index | | --- | --- | --- | --- | | 1 | Glycine | GLY | -0.4 | | 2 | Alanine | ALA | 1.8 | | 3 | Proline | PRO | 1.6 | | 4 | Valine | VAL | 4.2 | | 5 | Leucine | LEU | 3.8 | | 6 | Isoleucine | ILE | 4.5 | | 7 | Methionine | MET | 1.9 | | 8 | Phenylalanine | PHE | 2.8 | | 9 | Tyrosine | TYR | -1.3 |
| phenytoin | dilantin | 0.62360351 | drug-drug | | --- | --- | --- | --- | | phenytoin | tegretol | 0.51322415 | drug-drug | | cholestyramine | dilantin | 0.24557819 | drug-drug | | cholestyramine | phenytoin | 0.23701277 | drug-drug | | administration | patients | 0.20459694 | non-drug-non-drug | | tegretol | may | 0.11605539 | drug-non-drug | | cholestyramine | patients | 0.08827197 | drug-non-drug | | evaluated | end | 0.07379115 | non-drug-non-drug | | within | controlled | 0.06111103 | non-drug-non-drug | | cholestyramine | evaluated | 0.04024139 | drug-non-drug | | dilantin | end | 0.02234770 | drug-non-drug |
0
| N | pressureerrors<br>21<br>LH | displacementserrors<br>21<br>LH | | --- | --- | --- | | withoutoversampling,ω=ωi | | | | 4<br>8<br>12<br>16 | 0.050.04<br>0.050.03<br>0.020.02<br>0.0060.01 | 0.360.31<br>0.350.31<br>0.340.31<br>0.340.31 | | withoversampling,ω=ω+2i | | | | 4<br>8<br>12<br>16 | 0.050.03<br>0.040.03<br>0.010.01<br>0.0090.009 | 0.330.31<br>0.300.30<br>0.250.27<br>0.220.25 | | withoversampling,ω=ω+4i | | |
| 4<br>8<br>12<br>16 | 0.050.03<br>0.030.02<br>0.0070.01<br>0.0020.008 | 0.280.29<br>0.190.24<br>0.110.20<br>0.070.15 | | --- | --- | --- | | withoversampling,ω=ω+6i | | | | 4<br>8<br>12<br>16 | 0.050.03<br>0.040.02<br>0.010.01<br>0.0020.007 | 0.240.27<br>0.140.22<br>0.070.17<br>0.060.14 |
1
| N | pressureerrors<br>21<br>LH | displacementserrors<br>21<br>LH | | --- | --- | --- | | withoutoversampling,ω=ωi | | | | 4<br>8<br>12<br>16 | 0.050.04<br>0.050.03<br>0.020.02<br>0.0060.01 | 0.360.31<br>0.350.31<br>0.340.31<br>0.340.31 | | withoversampling,ω=ω+2i | | | | 4<br>8<br>12<br>16 | 0.050.03<br>0.040.03<br>0.010.01<br>0.0090.009 | 0.330.31<br>0.300.30<br>0.250.27<br>0.220.25 | | withoversampling,ω=ω+4i | | |
| | Evaluationmetric | MM | ALS | B-NFM | PGM | DRCC | | --- | --- | --- | --- | --- | --- | --- | | K=3 | AC<br>NMI | 0.9173<br>(2.800e-4)<br>0.7351<br>(2.488e-3) | 0.9133<br>(2.6111e-4)<br>0.7344<br>(1.654e-3) | 0.8820<br>(1.644e-4)<br>0.6806<br>(6.069e-4) | 0.9160<br>(1.800e-4)<br>0.7307<br>(1.792e-3) | 0.9013<br>(3.589e-4)<br>0.7115<br>(1.704e-3) | | K=4 | AC<br>NMI | 0.7140<br>(8.518e-4)<br>0.4654<br>(1.726e-3) | 0.6520<br>(8.611e-3)<br>0.4181<br>(3.279e-3) | 0.6780<br>(4.138e-4)<br>0.4446<br>(5.964e-4) | 0.7195<br>(5.325e-4)<br>0.4680<br>(1.181e-3) | 0.6575<br>(3.237e-3)<br>0.4071<br>(3.278e-3) | | K=5 | AC<br>NMI | 0.6216<br>(7.731e-3)<br>0.5201<br>(2.080e-3) | 0.7112<br>(3.292e-4)<br>0.5590<br>(1.018e-3) | 0.6104<br>(3.839e-3)<br>0.4992<br>(2.921e-3) | 0.6764<br>(1.533e-3)<br>0.5373<br>(9.196e-4) | 0.6632<br>(2.792e-4)<br>0.5198<br>(2.156e-4) | | K=6 | AC<br>NMI | 0.5370<br>(4.249e-3)<br>0.4007<br>(9.891e-4) | 0.5337<br>(3.626e-3)<br>0.3852<br>(6.482e-4) | 0.5156<br>(3.812e-3)<br>0.3980<br>(1.197e-3) | 0.5466<br>(4.257e-3)<br>0.3962<br>(1.507e-3) | 0.4983<br>(1.061e-3)<br>0.3670<br>(1.348e-3) | | K=7 | AC<br>NMI | 0.5988<br>(8.816e-5)<br>0.5382<br>(7.593e-4) | 0.5974<br>(3.295e-3)<br>0.5378<br>(1.607e-3) | 0.5762<br>(1.051e-3)<br>0.4972<br>(7.238e-4) | 0.5940<br>(3.704e-3)<br>0.5342<br>(9.776e-4) | 0.6585<br>(1.789e-3)<br>0.5629<br>(9.366e-4) | | K=8 | AC<br>NMI | 0.6455<br>(3.217e-3)<br>0.5427<br>(5.694e-4) | 0.6162<br>(8.523e-4)<br>0.5496<br>(6.968e-4) | 0.5930<br>(3.880e-3)<br>0.4979<br>(1.329e-3) | 0.5942<br>(3.267e-3)<br>0.5152<br>(2.243e-3) | 0.6270<br>(2.312e-3)<br>0.5033<br>(3.711e-3) | | K=9 | AC<br>NMI | 0.5211<br>(1.251e-3)<br>0.4621<br>(3.209e-4) | 0.5567<br>(8.173e-4)<br>0.4716<br>(3.473e-4) | 0.5137<br>(5.528e-4)<br>0.4343<br>(3.890e-4) | 0.5302<br>(1.816e-3)<br>0.4720<br>(5.279e-4) | 0.5240<br>(7.867e-4)<br>0.4493<br>(8.811e-4) | | K=10 | AC<br>NMI | 0.4980<br>(1.154e-3)<br>0.4470<br>(7.543e-4) | 0.4800<br>(9.220e-4)<br>0.4505<br>(5.267e-4) | 0.4474<br>(5.823e-4)<br>0.4089<br>(3.474e-4) | 0.4958<br>(1.833e-3)<br>0.4516<br>(2.051e-3) | 0.4668<br>(2.846e-3)<br>0.4053<br>(3.402e-3) |
0
| N | pressureerrors<br>21<br>LH | displacementserrors<br>21<br>LH | | --- | --- | --- | | withoutoversampling,ω=ωi | | | | 4<br>8<br>12<br>16 | 0.050.04<br>0.050.03<br>0.020.02<br>0.0060.01 | 0.360.31<br>0.350.31<br>0.340.31<br>0.340.31 |
| withoversampling,ω=ω+2i | | | | --- | --- | --- | | 4<br>8<br>12<br>16 | 0.050.03<br>0.040.03<br>0.010.01<br>0.0090.009 | 0.330.31<br>0.300.30<br>0.250.27<br>0.220.25 | | withoversampling,ω=ω+4i | | | | 4<br>8<br>12<br>16 | 0.050.03<br>0.030.02<br>0.0070.01<br>0.0020.008 | 0.280.29<br>0.190.24<br>0.110.20<br>0.070.15 | | withoversampling,ω=ω+6i | | | | 4<br>8<br>12<br>16 | 0.050.03<br>0.040.02<br>0.010.01<br>0.0020.007 | 0.240.27<br>0.140.22<br>0.070.17<br>0.060.14 |
1
| N | pressureerrors<br>21<br>LH | displacementserrors<br>21<br>LH | | --- | --- | --- | | withoutoversampling,ω=ωi | | | | 4<br>8<br>12<br>16 | 0.050.04<br>0.050.03<br>0.020.02<br>0.0060.01 | 0.360.31<br>0.350.31<br>0.340.31<br>0.340.31 |
| K=8 | AC<br>NMI | 0.6455<br>(3.217e-3)<br>0.5427<br>(5.694e-4) | 0.6162<br>(8.523e-4)<br>0.5496<br>(6.968e-4) | 0.5930<br>(3.880e-3)<br>0.4979<br>(1.329e-3) | 0.5942<br>(3.267e-3)<br>0.5152<br>(2.243e-3) | 0.6270<br>(2.312e-3)<br>0.5033<br>(3.711e-3) | | --- | --- | --- | --- | --- | --- | --- | | K=9 | AC<br>NMI | 0.5211<br>(1.251e-3)<br>0.4621<br>(3.209e-4) | 0.5567<br>(8.173e-4)<br>0.4716<br>(3.473e-4) | 0.5137<br>(5.528e-4)<br>0.4343<br>(3.890e-4) | 0.5302<br>(1.816e-3)<br>0.4720<br>(5.279e-4) | 0.5240<br>(7.867e-4)<br>0.4493<br>(8.811e-4) | | K=10 | AC<br>NMI | 0.4980<br>(1.154e-3)<br>0.4470<br>(7.543e-4) | 0.4800<br>(9.220e-4)<br>0.4505<br>(5.267e-4) | 0.4474<br>(5.823e-4)<br>0.4089<br>(3.474e-4) | 0.4958<br>(1.833e-3)<br>0.4516<br>(2.051e-3) | 0.4668<br>(2.846e-3)<br>0.4053<br>(3.402e-3) |
0
| Year | IDs | Images | Videos | Subject | | --- | --- | --- | --- | --- | | 1997<br>1998<br>1999<br>2001<br>2002<br>2010 | 15<br>25<br>295<br>10<br>68<br>337 | 165<br>4,450<br>0<br>5,760<br>41,368<br>750,000 | 0<br>5<br>1,180<br>0<br>0<br>0 | Cooperative<br>Cooperative<br>Cooperative<br>Cooperative<br>Cooperative<br>Cooperative | | 2006<br>2007<br>2011<br>2012<br>2014<br>2014<br>2014<br>2015<br>2015<br>2016<br>2016<br>2016<br>2016<br>2017<br>2017<br>2017<br>2017 | 13,618<br>5,749<br>1,595<br>2,995<br>530<br>10,575<br>10,177<br>500<br>2,622<br>8,277<br>500<br>8,277<br>99,892<br>3,107<br>1,845<br>9,131<br>672,057 | 55,134<br>13,233<br>0<br>99,773<br>100,000<br>494,414<br>202,599<br>5,712<br>2.6M<br>367,888<br>7,000<br>367,888<br>8,456,240<br>0<br>11,754<br>3.31M<br>4,753,320 | 0<br>0<br>3,425<br>0<br>0<br>0<br>0<br>2,085<br>0<br>0<br>0<br>0<br>0<br>22,075<br>7,011<br>0<br>0 | Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Non-Celeb(Web) |
| 1996<br>2004<br>2013<br>2017<br>2017<br>2017<br>2017<br>2017<br>2017 | 1,199<br>466+<br>293<br>5<br>O(10)<br>5<br>O(10)<br><500<br><1,500<br>3<br>O(10)<br>3<br>O(10) | 14,126<br>50,000+<br>9,376<br>5<br>O(10)<br>6<br>O(10)<br><500<br><1,500<br>5<br>O(10)<br>4<br>O(10) | 0<br>0<br>2,802<br>0<br>0<br>0<br>0<br>0<br>0 | Cooperative<br>Cooperative<br>Cooperative<br>Cooperative<br>Cooperative<br>Cooperative<br>Cooperative<br>Uncooperative<br>Uncooperative | | --- | --- | --- | --- | --- | | 2011<br>2017<br>2018 | 130<br>1,732<br>15,573 | 4,160<br>14,016+<br>463,507 | 0<br>0<br>0 | Cooperative<br>Uncooperative<br>Uncooperative |
1
| Year | IDs | Images | Videos | Subject | | --- | --- | --- | --- | --- | | 1997<br>1998<br>1999<br>2001<br>2002<br>2010 | 15<br>25<br>295<br>10<br>68<br>337 | 165<br>4,450<br>0<br>5,760<br>41,368<br>750,000 | 0<br>5<br>1,180<br>0<br>0<br>0 | Cooperative<br>Cooperative<br>Cooperative<br>Cooperative<br>Cooperative<br>Cooperative | | 2006<br>2007<br>2011<br>2012<br>2014<br>2014<br>2014<br>2015<br>2015<br>2016<br>2016<br>2016<br>2016<br>2017<br>2017<br>2017<br>2017 | 13,618<br>5,749<br>1,595<br>2,995<br>530<br>10,575<br>10,177<br>500<br>2,622<br>8,277<br>500<br>8,277<br>99,892<br>3,107<br>1,845<br>9,131<br>672,057 | 55,134<br>13,233<br>0<br>99,773<br>100,000<br>494,414<br>202,599<br>5,712<br>2.6M<br>367,888<br>7,000<br>367,888<br>8,456,240<br>0<br>11,754<br>3.31M<br>4,753,320 | 0<br>0<br>3,425<br>0<br>0<br>0<br>0<br>2,085<br>0<br>0<br>0<br>0<br>0<br>22,075<br>7,011<br>0<br>0 | Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Non-Celeb(Web) |
| | | | | | | | --- | --- | --- | --- | --- | --- | | frb30-15-1 | t<br>c<br>r<br>n | 22,3<br>16,5M<br>105626<br>3863 | 20,9<br>11,1M<br>70924<br>3858 | 29,3<br>16,4M<br>102724<br>4138 | 14,1<br>7,5M<br>46727<br>2499 | | frb30-15-2 | t<br>c<br>r<br>n | 84,9<br>45,7M<br>311040<br>15457 | 29,7<br>21,8M<br>149119<br>7935 | 118,9<br>90M<br>624360<br>25148 | 95<br>68,9M<br>472124<br>24467 | | frb35-17-1 | t<br>c<br>r<br>n | 125,8<br>93,9M<br>533694<br>18587 | 193,7<br>144M<br>836462<br>40698 | 118<br>89,7M<br>514258<br>19167 | 250,9<br>180,9M<br>1,03M<br>50611 | | rand-2-30-15 | t<br>c<br>r<br>n | 1240<br>114,5M<br>922251<br>28725 | 74,4<br>53M<br>443792<br>19846 | 98<br>72,5M<br>602582<br>20192 | 108,1<br>78,1M<br>642665<br>28766 | | geo50-20-d4-75-2 | t<br>c<br>r<br>n | 226,1<br>191,8M<br>778758<br>20069 | 401,8<br>310,3M<br>1,3M<br>60182 | 34,8<br>28,2M<br>117241<br>3735 | 39,5<br>28,8M<br>124163<br>5484 |
0
| Year | IDs | Images | Videos | Subject | | --- | --- | --- | --- | --- | | 1997<br>1998<br>1999<br>2001<br>2002<br>2010 | 15<br>25<br>295<br>10<br>68<br>337 | 165<br>4,450<br>0<br>5,760<br>41,368<br>750,000 | 0<br>5<br>1,180<br>0<br>0<br>0 | Cooperative<br>Cooperative<br>Cooperative<br>Cooperative<br>Cooperative<br>Cooperative | | 2006<br>2007<br>2011<br>2012<br>2014<br>2014<br>2014<br>2015<br>2015<br>2016<br>2016<br>2016<br>2016<br>2017<br>2017<br>2017<br>2017 | 13,618<br>5,749<br>1,595<br>2,995<br>530<br>10,575<br>10,177<br>500<br>2,622<br>8,277<br>500<br>8,277<br>99,892<br>3,107<br>1,845<br>9,131<br>672,057 | 55,134<br>13,233<br>0<br>99,773<br>100,000<br>494,414<br>202,599<br>5,712<br>2.6M<br>367,888<br>7,000<br>367,888<br>8,456,240<br>0<br>11,754<br>3.31M<br>4,753,320 | 0<br>0<br>3,425<br>0<br>0<br>0<br>0<br>2,085<br>0<br>0<br>0<br>0<br>0<br>22,075<br>7,011<br>0<br>0 | Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Non-Celeb(Web) |
| 1996<br>2004<br>2013<br>2017<br>2017<br>2017<br>2017<br>2017<br>2017 | 1,199<br>466+<br>293<br>5<br>O(10)<br>5<br>O(10)<br><500<br><1,500<br>3<br>O(10)<br>3<br>O(10) | 14,126<br>50,000+<br>9,376<br>5<br>O(10)<br>6<br>O(10)<br><500<br><1,500<br>5<br>O(10)<br>4<br>O(10) | 0<br>0<br>2,802<br>0<br>0<br>0<br>0<br>0<br>0 | Cooperative<br>Cooperative<br>Cooperative<br>Cooperative<br>Cooperative<br>Cooperative<br>Cooperative<br>Uncooperative<br>Uncooperative | | --- | --- | --- | --- | --- | | 2011<br>2017<br>2018 | 130<br>1,732<br>15,573 | 4,160<br>14,016+<br>463,507 | 0<br>0<br>0 | Cooperative<br>Uncooperative<br>Uncooperative |
1
| Year | IDs | Images | Videos | Subject | | --- | --- | --- | --- | --- | | 1997<br>1998<br>1999<br>2001<br>2002<br>2010 | 15<br>25<br>295<br>10<br>68<br>337 | 165<br>4,450<br>0<br>5,760<br>41,368<br>750,000 | 0<br>5<br>1,180<br>0<br>0<br>0 | Cooperative<br>Cooperative<br>Cooperative<br>Cooperative<br>Cooperative<br>Cooperative | | 2006<br>2007<br>2011<br>2012<br>2014<br>2014<br>2014<br>2015<br>2015<br>2016<br>2016<br>2016<br>2016<br>2017<br>2017<br>2017<br>2017 | 13,618<br>5,749<br>1,595<br>2,995<br>530<br>10,575<br>10,177<br>500<br>2,622<br>8,277<br>500<br>8,277<br>99,892<br>3,107<br>1,845<br>9,131<br>672,057 | 55,134<br>13,233<br>0<br>99,773<br>100,000<br>494,414<br>202,599<br>5,712<br>2.6M<br>367,888<br>7,000<br>367,888<br>8,456,240<br>0<br>11,754<br>3.31M<br>4,753,320 | 0<br>0<br>3,425<br>0<br>0<br>0<br>0<br>2,085<br>0<br>0<br>0<br>0<br>0<br>22,075<br>7,011<br>0<br>0 | Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Non-Celeb(Web) |
| frb30-15-2 | t<br>c<br>r<br>n | 84,9<br>45,7M<br>311040<br>15457 | 29,7<br>21,8M<br>149119<br>7935 | 118,9<br>90M<br>624360<br>25148 | 95<br>68,9M<br>472124<br>24467 | | --- | --- | --- | --- | --- | --- | | frb35-17-1 | t<br>c<br>r<br>n | 125,8<br>93,9M<br>533694<br>18587 | 193,7<br>144M<br>836462<br>40698 | 118<br>89,7M<br>514258<br>19167 | 250,9<br>180,9M<br>1,03M<br>50611 | | rand-2-30-15 | t<br>c<br>r<br>n | 1240<br>114,5M<br>922251<br>28725 | 74,4<br>53M<br>443792<br>19846 | 98<br>72,5M<br>602582<br>20192 | 108,1<br>78,1M<br>642665<br>28766 | | geo50-20-d4-75-2 | t<br>c<br>r<br>n | 226,1<br>191,8M<br>778758<br>20069 | 401,8<br>310,3M<br>1,3M<br>60182 | 34,8<br>28,2M<br>117241<br>3735 | 39,5<br>28,8M<br>124163<br>5484 |
0
| Dataset | F1score | accuracy | precision | recall | | | | | --- | --- | --- | --- | --- | --- | --- | --- | | before | after | before | after | before | after | before | after |
| Healthy | 0.669 | 0.712 | 0.836 | 0.843 | 0.606 | 0.675 | 0.746 | 0.753 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | | Diabeticretinopathy | 0.495 | 0.532 | 0.819 | 0.822 | 0.524 | 0.588 | 0.468 | 0.486 | | Glaucomatous | 0.495 | 0.584 | 0.838 | 0.841 | 0.477 | 0.562 | 0.608 | 0.618 | | Wholedataset | 0.612 | 0.672 | 0.847 | 0.855 | 0.603 | 0.675 | 0.623 | 0.670 |
1
| Dataset | F1score | accuracy | precision | recall | | | | | --- | --- | --- | --- | --- | --- | --- | --- | | before | after | before | after | before | after | before | after |
| Patient | Jaccard | Precision | Recall | F1score | HD(pix.) | | --- | --- | --- | --- | --- | --- | | 1 | 0.44,0.19 | 0.96,0.08 | 0.46,0.21 | 0.58,0.22 | 34.3,19.1 | | 0.38,0.18 | 0.97,0.07 | 0.40,0.20 | 0.53,0.20 | 34.6,18.7 | | | 0.75,0.20 | 0.86,0.18 | 0.86,0.17 | 0.84,0.17 | 22.0,25.6 | | | 0.81,0.14 | 0.93,0.13 | 0.87,0.11 | 0.89,0.11 | 15.0,19.6 | | | 2 | 0.60,0.16 | 0.96,0.11 | 0.62,0.16 | 0.73,0.16 | 20.2,15.5 | | 0.64,0.16 | 0.98,0.07 | 0.66,0.16 | 0.77,0.13 | 24.3,17.9 | | | 0.80,0.15 | 0.90,0.13 | 0.89,0.12 | 0.88,0.11 | 13.8,18.4 | | | 0.83,0.15 | 0.91,0.12 | 0.91,0.12 | 0.90,0.11 | 13.6,20.1 | | | 3 | 0.49,0.18 | 0.94,0.11 | 0.52,0.21 | 0.63,0.19 | 32.2,23.5 | | 0.54,0.17 | 0.97,0.10 | 0.55,0.17 | 0.68,0.15 | 31.7,20.3 | | | 0.70,0.23 | 0.89,0.14 | 0.79,0.25 | 0.80,0.21 | 21.7,24.3 | | | 0.77,0.17 | 0.89,0.11 | 0.85,0.16 | 0.86,0.13 | 13.8,18.2 | | | 4 | 0.44,0.18 | 0.94,0.13 | 0.46,0.20 | 0.59,0.20 | 33.6,22.0 | | 0.47,0.15 | 0.97,0.09 | 0.48,0.16 | 0.62,0.16 | 34.5,17.9 | | | 0.75,0.18 | 0.80,0.19 | 0.93,0.11 | 0.84,0.14 | 27.1,29.3 | | | 0.80,0.19 | 0.87,0.15 | 0.92,0.16 | 0.88,0.15 | 22.0,29.0 | | | 5 | 0.57,0.16 | 0.95,0.10 | 0.59,0.17 | 0.71,0.15 | 28.9,19.3 | | 0.49,0.16 | 0.97,0.10 | 0.50,0.16 | 0.64,0.17 | 36.4,19.6 | | | 0.80,0.17 | 0.85,0.16 | 0.93,0.13 | 0.88,0.14 | 21.4,30.8 | | | 0.86,0.12 | 0.90,0.10 | 0.95,0.09 | 0.92,0.08 | 15.5,20.4 | | | 6 | 0.51,0.19 | 0.93,0.13 | 0.55,0.21 | 0.65,0.19 | 26.6,19.5 | | 0.67,0.20 | 0.93,0.17 | 0.71,0.20 | 0.78,0.19 | 22.2,24.7 | | | 0.71,0.21 | 0.84,0.18 | 0.84,0.20 | 0.81,0.17 | 23.8,25.4 | | | 0.82,0.14 | 0.88,0.13 | 0.93,0.09 | 0.90,0.10 | 13.1,18.1 | | | 7 | 0.58,0.20 | 0.95,0.11 | 0.61,0.21 | 0.71,0.19 | 33.3,25.0 | | 0.44,0.20 | 0.96,0.08 | 0.45,0.21 | 0.58,0.22 | 33.0,18.7 | | | 0.78,0.18 | 0.86,0.14 | 0.91,0.16 | 0.86,0.14 | 19.2,30.3 | | | 0.78,0.17 | 0.86,0.15 | 0.90,0.14 | 0.86,0.14 | 18.5,26.1 | |
0
| Dataset | F1score | accuracy | precision | recall | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | | before | after | before | after | before | after | before | after | | | Healthy | 0.669 | 0.712 | 0.836 | 0.843 | 0.606 | 0.675 | 0.746 | 0.753 |
| Diabeticretinopathy | 0.495 | 0.532 | 0.819 | 0.822 | 0.524 | 0.588 | 0.468 | 0.486 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | | Glaucomatous | 0.495 | 0.584 | 0.838 | 0.841 | 0.477 | 0.562 | 0.608 | 0.618 | | Wholedataset | 0.612 | 0.672 | 0.847 | 0.855 | 0.603 | 0.675 | 0.623 | 0.670 |
1
| Dataset | F1score | accuracy | precision | recall | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | | before | after | before | after | before | after | before | after | | | Healthy | 0.669 | 0.712 | 0.836 | 0.843 | 0.606 | 0.675 | 0.746 | 0.753 |
| 0.80,0.19 | 0.87,0.15 | 0.92,0.16 | 0.88,0.15 | 22.0,29.0 | | | --- | --- | --- | --- | --- | --- | | 5 | 0.57,0.16 | 0.95,0.10 | 0.59,0.17 | 0.71,0.15 | 28.9,19.3 | | 0.49,0.16 | 0.97,0.10 | 0.50,0.16 | 0.64,0.17 | 36.4,19.6 | | | 0.80,0.17 | 0.85,0.16 | 0.93,0.13 | 0.88,0.14 | 21.4,30.8 | | | 0.86,0.12 | 0.90,0.10 | 0.95,0.09 | 0.92,0.08 | 15.5,20.4 | | | 6 | 0.51,0.19 | 0.93,0.13 | 0.55,0.21 | 0.65,0.19 | 26.6,19.5 | | 0.67,0.20 | 0.93,0.17 | 0.71,0.20 | 0.78,0.19 | 22.2,24.7 | | | 0.71,0.21 | 0.84,0.18 | 0.84,0.20 | 0.81,0.17 | 23.8,25.4 | | | 0.82,0.14 | 0.88,0.13 | 0.93,0.09 | 0.90,0.10 | 13.1,18.1 | | | 7 | 0.58,0.20 | 0.95,0.11 | 0.61,0.21 | 0.71,0.19 | 33.3,25.0 | | 0.44,0.20 | 0.96,0.08 | 0.45,0.21 | 0.58,0.22 | 33.0,18.7 | | | 0.78,0.18 | 0.86,0.14 | 0.91,0.16 | 0.86,0.14 | 19.2,30.3 | | | 0.78,0.17 | 0.86,0.15 | 0.90,0.14 | 0.86,0.14 | 18.5,26.1 | |
0
| | Pearson | Spearman | KendalTao | Distancecorrelation | MutualInfo | | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | | before | after | before | after | before | after | before | after | before | after | | UniGram | 0.302 | 0.751 | 0.215 | 0.425 | 0.205 | 0.376 | 0.264 | 0.808 | 0.811 | 0.863 | | Bi-gram | 0.314 | 0.714 | 0.241 | 0.464 | 0.231 | 0.425 | 0.291 | 0.723 | 0.533 | 0.827 | | Tri-gram | 0.284 | 0.648 | 0.214 | 0.381 | 0.205 | 0.346 | 0.252 | 0.691 | 0.512 | 0.723 | | Skip-gram-2 | 0.308 | 0.645 | 0.241 | 0.650 | 0.231 | 0.542 | 0.286 | 0.744 | 0.705 | 0.854 |
| Skip-gram-3 | 0.308 | 0.632 | 0.224 | 0.580 | 0.214 | 0.541 | 0.258 | 0.707 | 0.551 | 0.873 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | BOW-2 | 0.310 | 0.669 | 0.260 | 0.621 | 0.244 | 0.525 | 0.299 | 0.759 | 0.702 | 0.851 | | BOW-3 | 0.327 | 0.515 | 0.274 | 0.720 | 0.261 | 0.683 | 0.284 | 0.814 | 0.699 | 0.850 |
1
| | Pearson | Spearman | KendalTao | Distancecorrelation | MutualInfo | | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | | before | after | before | after | before | after | before | after | before | after | | UniGram | 0.302 | 0.751 | 0.215 | 0.425 | 0.205 | 0.376 | 0.264 | 0.808 | 0.811 | 0.863 | | Bi-gram | 0.314 | 0.714 | 0.241 | 0.464 | 0.231 | 0.425 | 0.291 | 0.723 | 0.533 | 0.827 | | Tri-gram | 0.284 | 0.648 | 0.214 | 0.381 | 0.205 | 0.346 | 0.252 | 0.691 | 0.512 | 0.723 | | Skip-gram-2 | 0.308 | 0.645 | 0.241 | 0.650 | 0.231 | 0.542 | 0.286 | 0.744 | 0.705 | 0.854 |
| | Pearson | Spearman | KendalTao | Distancecorrelation | MutualInfo | | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | | before | after | before | after | before | after | before | after | before | after | | UniGram | 0.228 | 0.221 | 0.182 | 0.207 | 0.173 | 0.189 | 0.1993 | 0.213 | 0.687 | 0.732 | | Bi-gram | 0.244 | 0.285 | 0.183 | 0.310 | 0.175 | 0.292 | 0.205 | 0.383 | 0.314 | 0.420 | | Tri-gram | 0.230 | 0.188 | 0.172 | 0.246 | 0.164 | 0.221 | 0.197 | 0.269 | 0.178 | 0.249 | | Skip-gram-2 | 0.269 | 0.433 | 0.206 | 0.437 | 0.197 | 0.411 | 0.228 | 0.537 | 0.445 | 0.620 | | Skip-gram-3 | 0.268 | 0.374 | 0.200 | 0.439 | 0.192 | 0.411 | 0.223 | 0.425 | 0.496 | 0.293 | | BOW-2 | 0.270 | 0.434 | 0.210 | 0.414 | 0.200 | 0.394 | 0.231 | 0.520 | 0.472 | 0.659 | | BOW-3 | 0.286 | 0.457 | 0.219 | 0.593 | 0.209 | 0.563 | 0.247 | 0.590 | 0.490 | 0.643 |
0
| | Pearson | Spearman | KendalTao | Distancecorrelation | MutualInfo | | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | | before | after | before | after | before | after | before | after | before | after | | UniGram | 0.302 | 0.751 | 0.215 | 0.425 | 0.205 | 0.376 | 0.264 | 0.808 | 0.811 | 0.863 | | Bi-gram | 0.314 | 0.714 | 0.241 | 0.464 | 0.231 | 0.425 | 0.291 | 0.723 | 0.533 | 0.827 | | Tri-gram | 0.284 | 0.648 | 0.214 | 0.381 | 0.205 | 0.346 | 0.252 | 0.691 | 0.512 | 0.723 |
| Skip-gram-2 | 0.308 | 0.645 | 0.241 | 0.650 | 0.231 | 0.542 | 0.286 | 0.744 | 0.705 | 0.854 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | Skip-gram-3 | 0.308 | 0.632 | 0.224 | 0.580 | 0.214 | 0.541 | 0.258 | 0.707 | 0.551 | 0.873 | | BOW-2 | 0.310 | 0.669 | 0.260 | 0.621 | 0.244 | 0.525 | 0.299 | 0.759 | 0.702 | 0.851 | | BOW-3 | 0.327 | 0.515 | 0.274 | 0.720 | 0.261 | 0.683 | 0.284 | 0.814 | 0.699 | 0.850 |
1
| | Pearson | Spearman | KendalTao | Distancecorrelation | MutualInfo | | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | | before | after | before | after | before | after | before | after | before | after | | UniGram | 0.302 | 0.751 | 0.215 | 0.425 | 0.205 | 0.376 | 0.264 | 0.808 | 0.811 | 0.863 | | Bi-gram | 0.314 | 0.714 | 0.241 | 0.464 | 0.231 | 0.425 | 0.291 | 0.723 | 0.533 | 0.827 | | Tri-gram | 0.284 | 0.648 | 0.214 | 0.381 | 0.205 | 0.346 | 0.252 | 0.691 | 0.512 | 0.723 |
| UniGram | 0.228 | 0.221 | 0.182 | 0.207 | 0.173 | 0.189 | 0.1993 | 0.213 | 0.687 | 0.732 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | Bi-gram | 0.244 | 0.285 | 0.183 | 0.310 | 0.175 | 0.292 | 0.205 | 0.383 | 0.314 | 0.420 | | Tri-gram | 0.230 | 0.188 | 0.172 | 0.246 | 0.164 | 0.221 | 0.197 | 0.269 | 0.178 | 0.249 | | Skip-gram-2 | 0.269 | 0.433 | 0.206 | 0.437 | 0.197 | 0.411 | 0.228 | 0.537 | 0.445 | 0.620 | | Skip-gram-3 | 0.268 | 0.374 | 0.200 | 0.439 | 0.192 | 0.411 | 0.223 | 0.425 | 0.496 | 0.293 | | BOW-2 | 0.270 | 0.434 | 0.210 | 0.414 | 0.200 | 0.394 | 0.231 | 0.520 | 0.472 | 0.659 | | BOW-3 | 0.286 | 0.457 | 0.219 | 0.593 | 0.209 | 0.563 | 0.247 | 0.590 | 0.490 | 0.643 |
0
| [137×137×3] | | --- | | Conv(7×7)<br>[69×69×32] | | Conv(3×3)<br>[35×35×32] | | Conv(3×3)<br>[18×18×64] | | Conv(3×3)<br>[9×9×64] |
| Conv(3×3)<br>[5×5×128] | | --- | | FC<br>[1024] | | FC<br>[1024] | | FC<br>3<br>[4×c] |
1
| [137×137×3] | | --- | | Conv(7×7)<br>[69×69×32] | | Conv(3×3)<br>[35×35×32] | | Conv(3×3)<br>[18×18×64] | | Conv(3×3)<br>[9×9×64] |
| 32 | 64(2filters) | 64(4filters) | 64(InvConv) | | --- | --- | --- | --- | | | 3<br>[64×1] | | | | 3<br>[32×1] | Conv(3)<br>3<br>[32×32] | | | | Conv(3)<br>3<br>[16×32] | Conv(3)<br>3<br>[16×48] | | | | Conv(3)<br>3<br>[8×48] | Conv(3)<br>3<br>[8×64] | | | | Conv(3)<br>3<br>[4×64] | Conv(3)<br>3<br>[4×80] | | | | FC<br>[1024] | FC<br>[1024] | | | | FC<br>[1024] | FC<br>[1024] | | | | FC<br>3<br>[4×80] | FC<br>3<br>[4×96] | | | | Deconv(2)<br>3<br>[8×64] | Deconv(2)<br>3<br>[8×80] | | | | Conv(3)→l1<br>3<br>[8×64] | Conv(3)<br>3<br>[8×80] | | | | OGNProp<br>3<br>OGNConv(2)→l2<br>3<br>[16×48] | 3<br>Deconv(2)<br>3<br>[16×64] | | | | OGNProp<br>3<br>OGNConv(2)→l3<br>3<br>[32×32] | 3<br>Conv(3)→l1<br>3<br>[16×64] | | | | | OGNProp<br>3<br>OGNConv(2)→l2<br>3<br>[32×48] | OGNProp<br>3<br>OGNConv(4)→l2<br>3<br>[32×48] | OGNProp<br>3<br>OGNConv(2)<br>3<br>[32×48]<br>3<br>OGNConv*(3)→l2<br>3<br>[32×48] | | | OGNProp<br>3<br>OGNConv(2)→l3<br>3<br>[64×32] | OGNProp<br>3<br>OGNConv(4)→l3<br>3<br>[64×32] | OGNProp<br>3<br>OGNConv(2)<br>3<br>[64×32]<br>3<br>OGNConv*(3)→l3<br>3<br>[64×32] |
0
| [137×137×3] | | --- | | Conv(7×7)<br>[69×69×32] | | Conv(3×3)<br>[35×35×32] | | Conv(3×3)<br>[18×18×64] | | Conv(3×3)<br>[9×9×64] |
| Conv(3×3)<br>[5×5×128] | | --- | | FC<br>[1024] | | FC<br>[1024] | | FC<br>3<br>[4×c] |
1
| [137×137×3] | | --- | | Conv(7×7)<br>[69×69×32] | | Conv(3×3)<br>[35×35×32] | | Conv(3×3)<br>[18×18×64] | | Conv(3×3)<br>[9×9×64] |
| FC<br>[1024] | FC<br>[1024] | | | | --- | --- | --- | --- | | FC<br>3<br>[4×80] | FC<br>3<br>[4×96] | | | | Deconv(2)<br>3<br>[8×64] | Deconv(2)<br>3<br>[8×80] | | | | Conv(3)→l1<br>3<br>[8×64] | Conv(3)<br>3<br>[8×80] | | | | OGNProp<br>3<br>OGNConv(2)→l2<br>3<br>[16×48] | 3<br>Deconv(2)<br>3<br>[16×64] | | | | OGNProp<br>3<br>OGNConv(2)→l3<br>3<br>[32×32] | 3<br>Conv(3)→l1<br>3<br>[16×64] | | | | | OGNProp<br>3<br>OGNConv(2)→l2<br>3<br>[32×48] | OGNProp<br>3<br>OGNConv(4)→l2<br>3<br>[32×48] | OGNProp<br>3<br>OGNConv(2)<br>3<br>[32×48]<br>3<br>OGNConv*(3)→l2<br>3<br>[32×48] | | | OGNProp<br>3<br>OGNConv(2)→l3<br>3<br>[64×32] | OGNProp<br>3<br>OGNConv(4)→l3<br>3<br>[64×32] | OGNProp<br>3<br>OGNConv(2)<br>3<br>[64×32]<br>3<br>OGNConv*(3)→l3<br>3<br>[64×32] |
0
| Method | S→U | E→H | | --- | --- | --- | | MKL<br>TJM<br>TKL<br>CORAL<br>LRSR<br>ATI | 0.889<br>0.898<br>0.902<br>0.904<br>0.893<br>0.905 | 0.392<br>0.314<br>0.391<br>0.398<br>0.380<br>0.330 |
| HiGAN(nolabeledvideo) | 0.954 | 0.446 | | --- | --- | --- | | KCCA<br>HEMAP<br>DAMA<br>HFA<br>CDLS | 0.853<br>0.432<br>0.860<br>0.885<br>0.885 | 0.366<br>0.213<br>0.438<br>0.459<br>0.435 | | HiGAN(threelabeledvideos) | 0.967 | 0.526 |
1
| Method | S→U | E→H | | --- | --- | --- | | MKL<br>TJM<br>TKL<br>CORAL<br>LRSR<br>ATI | 0.889<br>0.898<br>0.902<br>0.904<br>0.893<br>0.905 | 0.392<br>0.314<br>0.391<br>0.398<br>0.380<br>0.330 |
| Image | Method | CSr | | | | | | --- | --- | --- | --- | --- | --- | --- | | 0.02 | 0.04 | 0.06 | 0.08 | 0.10 | | | | Barbara | BM3D-CS<br>TVAL3<br>NLR-CS<br>D-AMP<br>Ours | 16.44,0.389<br>21.32,0.588<br>16.79,0.400<br>15.08,0.354<br>26.15,0.812 | 18.03,0.422<br>22.58,0.620<br>18.90,0.433<br>17.76,0.417<br>27.29,0.835 | 19.70,0.470<br>23.28,0.639<br>20.56,0.501<br>20.44,0.496<br>27.40,0.837 | 21.85,0.561<br>23.78,0.654<br>24.00,0.659<br>22.66,0.623<br>28.05,0.848 | 23.70,0.635<br>24.25,0.667<br>25.13,0.725<br>24.05,0.660<br>28.30,0.852 | | Boats | BM3D-CS<br>TVAL3<br>NLR-CS<br>D-AMP<br>Ours | 16.76,0.398<br>21.58,0.634<br>17.20,0.409<br>15.52,0.365<br>30.79,0.898 | 17.98,0.440<br>23.66,0.681<br>19.41,0.489<br>18.41,0.456<br>31.73,0.909 | 20.11,0.507<br>24.57,0.699<br>21.76,0.559<br>20.76,0.528<br>31.84,0.910 | 23.21,0.624<br>25.22,0.713<br>23.76,0.638<br>22.85,0.600<br>32.35,0.916 | 24.65,0.687<br>25.75,0.725<br>25.52,0.711<br>25.22,0.703<br>32.33,0.912 | | Cameraman | BM3D-CS<br>TVAL3<br>NLR-CS<br>D-AMP<br>Ours | 16.84,0.432<br>20.33,0.557<br>17.00,0.436<br>16.13,0.401<br>25.88,0.828 | 18.34,0.496<br>21.53,0.579<br>19.10,0.531<br>17.51,0.461<br>26.47,0.829 | 20.62,0.585<br>22.02,0.580<br>21.60,0.620<br>19.84,0.562<br>26.66,0.823 | 22.32,0.654<br>22.37,0.578<br>23.99,0.709<br>21.74,0.629<br>27.16,0.824 | 23.85,0.711<br>23.19,0.688<br>26.25,0.789<br>23.61,0.705<br>27.64,0.819 | | Foreman | BM3D-CS<br>TVAL3<br>NLR-CS<br>D-AMP<br>Ours | 18.96,0.610<br>23.35,0.777<br>19.64,0.645<br>19.42,0.639<br>34.01,0.934 | 21.06,0.680<br>26.81,0.808<br>22.33,0.695<br>22.07,0.687<br>34.61,0.936 | 25.48,0.726<br>28.47,0.821<br>28.09,0.809<br>26.31,0.750<br>35.18,0.937 | 29.80,0.831<br>29.45,0.828<br>31.68,0.865<br>29.12,0.813<br>35.33,0.939 | 31.69,0.866<br>30.02,0.833<br>34.15,0.900<br>31.90,0.872<br>36.02,0.939 | | House | BM3D-CS<br>TVAL3<br>NLR-CS<br>D-AMP<br>Ours | 18.12,0.518<br>22.57,0.706<br>18.80,0.554<br>17.74,0.492<br>30.42,0.873 | 20.35,0.590<br>24.58,0.724<br>21.77,0.620<br>19.93,0.577<br>31.76,0.884 | 25.79,0.755<br>26.36,0.740<br>27.16,0.761<br>24.00,0.693<br>33.07,0.898 | 29.78,0.816<br>27.63,0.766<br>31.23,0.835<br>27.39,0.758<br>34.32,0.910 | 30.50,0.824<br>28.68,0.814<br>33.66,0.869<br>29.84,0.818<br>34.80,0.913 | | Lena | BM3D-CS<br>TVAL3<br>NLR-CS<br>D-AMP<br>Ours | 16.09,0.427<br>21.60,0.671<br>16.71,0.461<br>15.53,0.399<br>28.51,0.881 | 18.22,0.511<br>23.23,0.693<br>19.07,0.545<br>17.21,0.485<br>29.70,0.894 | 20.47,0.603<br>23.88,0.697<br>21.36,0.649<br>19.93,0.567<br>29.85,0.889 | 23.55,0.694<br>24.41,0.701<br>25.47,0.746<br>22.29,0.681<br>30.42,0.898 | 24.63,0.729<br>24.81,0.705<br>25.82,0.771<br>24.60,0.733<br>30.65,0.896 | | Monarch | BM3D-CS<br>TVAL3<br>NLR-CS<br>D-AMP<br>Ours | 14.55,0.352<br>17.31,0.537<br>14.69,0.357<br>14.01,0.334<br>26.14,0.884 | 15.24,0.390<br>18.91,0.577<br>16.03,0.413<br>14.86,0.366<br>27.28,0.895 | 17.65,0.500<br>19.82,0.595<br>18.53,0.552<br>17.55,0.497<br>28.21,0.901 | 19.75,0.581<br>20.56,0.611<br>21.84,0.686<br>19.84,0.587<br>28.97,0.904 | 21.64,0.666<br>21.24,0.624<br>25.12,0.796<br>21.77,0.675<br>29.25,0.904 | | Parrots | BM3D-CS<br>TVAL3<br>NLR-CS<br>D-AMP<br>Ours | 16.62,0.506<br>21.11,0.714<br>17.39,0.550<br>16.89,0.520<br>28.28,0.899 | 19.32,0.613<br>22.90,0.722<br>20.84,0.681<br>19.55,0.619<br>28.88,0.893 | 23.070.693<br>23.47,0.714<br>24.95,0.782<br>22.62,0.684<br>29.22,0.890 | 25.04,0.761<br>24.38,0.770<br>28.18,0.835<br>24.10,0.711<br>29.55,0.887 | 26.10,0.787<br>25.84,0.804<br>30.35,0.875<br>26.31,0.792<br>29.84,0.885 | | Average | BM3D-CS<br>TVAL3<br>NLR-CS<br>D-AMP<br>Ours | 16.80,0.454<br>21.15,0.648<br>17.28,0.477<br>16.29,0.438<br>28.77,0.876 | 18.57,0.518<br>23.02,0.676<br>19.68,0.551<br>18.41,0.509<br>29.71,0.884 | 21.61,0.605<br>23.98,0.685<br>23.00,0.654<br>21.43,0.610<br>30.18,0.886 | 24.42,0.690<br>24.72,0.703<br>26.27,0.747<br>23.75,0.675<br>30.77,0.891 | 25.85,0.738<br>25.47,0.732<br>28.25,0.805<br>25.91,0.745<br>31.10,0.890 |
0
| Method | S→U | E→H | | --- | --- | --- | | MKL<br>TJM<br>TKL<br>CORAL<br>LRSR<br>ATI | 0.889<br>0.898<br>0.902<br>0.904<br>0.893<br>0.905 | 0.392<br>0.314<br>0.391<br>0.398<br>0.380<br>0.330 | | HiGAN(nolabeledvideo) | 0.954 | 0.446 |
| KCCA<br>HEMAP<br>DAMA<br>HFA<br>CDLS | 0.853<br>0.432<br>0.860<br>0.885<br>0.885 | 0.366<br>0.213<br>0.438<br>0.459<br>0.435 | | --- | --- | --- | | HiGAN(threelabeledvideos) | 0.967 | 0.526 |
1
| Method | S→U | E→H | | --- | --- | --- | | MKL<br>TJM<br>TKL<br>CORAL<br>LRSR<br>ATI | 0.889<br>0.898<br>0.902<br>0.904<br>0.893<br>0.905 | 0.392<br>0.314<br>0.391<br>0.398<br>0.380<br>0.330 | | HiGAN(nolabeledvideo) | 0.954 | 0.446 |
| Barbara | BM3D-CS<br>TVAL3<br>NLR-CS<br>D-AMP<br>Ours | 16.44,0.389<br>21.32,0.588<br>16.79,0.400<br>15.08,0.354<br>26.15,0.812 | 18.03,0.422<br>22.58,0.620<br>18.90,0.433<br>17.76,0.417<br>27.29,0.835 | 19.70,0.470<br>23.28,0.639<br>20.56,0.501<br>20.44,0.496<br>27.40,0.837 | 21.85,0.561<br>23.78,0.654<br>24.00,0.659<br>22.66,0.623<br>28.05,0.848 | 23.70,0.635<br>24.25,0.667<br>25.13,0.725<br>24.05,0.660<br>28.30,0.852 | | --- | --- | --- | --- | --- | --- | --- | | Boats | BM3D-CS<br>TVAL3<br>NLR-CS<br>D-AMP<br>Ours | 16.76,0.398<br>21.58,0.634<br>17.20,0.409<br>15.52,0.365<br>30.79,0.898 | 17.98,0.440<br>23.66,0.681<br>19.41,0.489<br>18.41,0.456<br>31.73,0.909 | 20.11,0.507<br>24.57,0.699<br>21.76,0.559<br>20.76,0.528<br>31.84,0.910 | 23.21,0.624<br>25.22,0.713<br>23.76,0.638<br>22.85,0.600<br>32.35,0.916 | 24.65,0.687<br>25.75,0.725<br>25.52,0.711<br>25.22,0.703<br>32.33,0.912 | | Cameraman | BM3D-CS<br>TVAL3<br>NLR-CS<br>D-AMP<br>Ours | 16.84,0.432<br>20.33,0.557<br>17.00,0.436<br>16.13,0.401<br>25.88,0.828 | 18.34,0.496<br>21.53,0.579<br>19.10,0.531<br>17.51,0.461<br>26.47,0.829 | 20.62,0.585<br>22.02,0.580<br>21.60,0.620<br>19.84,0.562<br>26.66,0.823 | 22.32,0.654<br>22.37,0.578<br>23.99,0.709<br>21.74,0.629<br>27.16,0.824 | 23.85,0.711<br>23.19,0.688<br>26.25,0.789<br>23.61,0.705<br>27.64,0.819 | | Foreman | BM3D-CS<br>TVAL3<br>NLR-CS<br>D-AMP<br>Ours | 18.96,0.610<br>23.35,0.777<br>19.64,0.645<br>19.42,0.639<br>34.01,0.934 | 21.06,0.680<br>26.81,0.808<br>22.33,0.695<br>22.07,0.687<br>34.61,0.936 | 25.48,0.726<br>28.47,0.821<br>28.09,0.809<br>26.31,0.750<br>35.18,0.937 | 29.80,0.831<br>29.45,0.828<br>31.68,0.865<br>29.12,0.813<br>35.33,0.939 | 31.69,0.866<br>30.02,0.833<br>34.15,0.900<br>31.90,0.872<br>36.02,0.939 | | House | BM3D-CS<br>TVAL3<br>NLR-CS<br>D-AMP<br>Ours | 18.12,0.518<br>22.57,0.706<br>18.80,0.554<br>17.74,0.492<br>30.42,0.873 | 20.35,0.590<br>24.58,0.724<br>21.77,0.620<br>19.93,0.577<br>31.76,0.884 | 25.79,0.755<br>26.36,0.740<br>27.16,0.761<br>24.00,0.693<br>33.07,0.898 | 29.78,0.816<br>27.63,0.766<br>31.23,0.835<br>27.39,0.758<br>34.32,0.910 | 30.50,0.824<br>28.68,0.814<br>33.66,0.869<br>29.84,0.818<br>34.80,0.913 | | Lena | BM3D-CS<br>TVAL3<br>NLR-CS<br>D-AMP<br>Ours | 16.09,0.427<br>21.60,0.671<br>16.71,0.461<br>15.53,0.399<br>28.51,0.881 | 18.22,0.511<br>23.23,0.693<br>19.07,0.545<br>17.21,0.485<br>29.70,0.894 | 20.47,0.603<br>23.88,0.697<br>21.36,0.649<br>19.93,0.567<br>29.85,0.889 | 23.55,0.694<br>24.41,0.701<br>25.47,0.746<br>22.29,0.681<br>30.42,0.898 | 24.63,0.729<br>24.81,0.705<br>25.82,0.771<br>24.60,0.733<br>30.65,0.896 | | Monarch | BM3D-CS<br>TVAL3<br>NLR-CS<br>D-AMP<br>Ours | 14.55,0.352<br>17.31,0.537<br>14.69,0.357<br>14.01,0.334<br>26.14,0.884 | 15.24,0.390<br>18.91,0.577<br>16.03,0.413<br>14.86,0.366<br>27.28,0.895 | 17.65,0.500<br>19.82,0.595<br>18.53,0.552<br>17.55,0.497<br>28.21,0.901 | 19.75,0.581<br>20.56,0.611<br>21.84,0.686<br>19.84,0.587<br>28.97,0.904 | 21.64,0.666<br>21.24,0.624<br>25.12,0.796<br>21.77,0.675<br>29.25,0.904 | | Parrots | BM3D-CS<br>TVAL3<br>NLR-CS<br>D-AMP<br>Ours | 16.62,0.506<br>21.11,0.714<br>17.39,0.550<br>16.89,0.520<br>28.28,0.899 | 19.32,0.613<br>22.90,0.722<br>20.84,0.681<br>19.55,0.619<br>28.88,0.893 | 23.070.693<br>23.47,0.714<br>24.95,0.782<br>22.62,0.684<br>29.22,0.890 | 25.04,0.761<br>24.38,0.770<br>28.18,0.835<br>24.10,0.711<br>29.55,0.887 | 26.10,0.787<br>25.84,0.804<br>30.35,0.875<br>26.31,0.792<br>29.84,0.885 | | Average | BM3D-CS<br>TVAL3<br>NLR-CS<br>D-AMP<br>Ours | 16.80,0.454<br>21.15,0.648<br>17.28,0.477<br>16.29,0.438<br>28.77,0.876 | 18.57,0.518<br>23.02,0.676<br>19.68,0.551<br>18.41,0.509<br>29.71,0.884 | 21.61,0.605<br>23.98,0.685<br>23.00,0.654<br>21.43,0.610<br>30.18,0.886 | 24.42,0.690<br>24.72,0.703<br>26.27,0.747<br>23.75,0.675<br>30.77,0.891 | 25.85,0.738<br>25.47,0.732<br>28.25,0.805<br>25.91,0.745<br>31.10,0.890 |
0
| date | truepositives | falsepositives | falsenegatives | | --- | --- | --- | --- | | 2012-07-02 | 1 | 0 | 0 | | 2012-07-03 | 3 | 0 | 0 |
| 2012-07-04 | 2 | 0 | 0 | | --- | --- | --- | --- | | 2012-07-05 | 2 | 0 | 0 | | 2012-07-06 | 3 | 0 | 0 | | 2012-07-08 | 0 | 0 | 2 | | 2012-07-09 | 2 | 0 | 0 | | 2012-07-10 | 2 | 0 | 0 | | 2012-07-11 | 0 | 0 | 1 | | 2012-07-14 | 1 | 0 | 0 | | 2012-07-29 | 1 | 0 | 0 | | 2012-07-30 | 1 | 0 | 0 | | total | 18 | 0 | 3 |
1
| date | truepositives | falsepositives | falsenegatives | | --- | --- | --- | --- | | 2012-07-02 | 1 | 0 | 0 | | 2012-07-03 | 3 | 0 | 0 |
| Date | 1 | 2 | 3 | 4 | 5 | 5+ | Total | | --- | --- | --- | --- | --- | --- | --- | --- | | 29.05.2015 | 144 | 190 | 53 | 33 | 11 | 4 | 435 | | 30.05.2015 | 98 | 263 | 62 | 54 | 15 | 3 | 495 | | 31.05.2015 | 210 | 526 | 158 | 98 | 36 | 2 | 1030 | | Total | 452 | 979 | 273 | 185 | 62 | 9 | 1960 |
0
| date | truepositives | falsepositives | falsenegatives | | --- | --- | --- | --- | | 2012-07-02 | 1 | 0 | 0 | | 2012-07-03 | 3 | 0 | 0 | | 2012-07-04 | 2 | 0 | 0 | | 2012-07-05 | 2 | 0 | 0 | | 2012-07-06 | 3 | 0 | 0 | | 2012-07-08 | 0 | 0 | 2 | | 2012-07-09 | 2 | 0 | 0 |
| 2012-07-10 | 2 | 0 | 0 | | --- | --- | --- | --- | | 2012-07-11 | 0 | 0 | 1 | | 2012-07-14 | 1 | 0 | 0 | | 2012-07-29 | 1 | 0 | 0 | | 2012-07-30 | 1 | 0 | 0 | | total | 18 | 0 | 3 |
1
| date | truepositives | falsepositives | falsenegatives | | --- | --- | --- | --- | | 2012-07-02 | 1 | 0 | 0 | | 2012-07-03 | 3 | 0 | 0 | | 2012-07-04 | 2 | 0 | 0 | | 2012-07-05 | 2 | 0 | 0 | | 2012-07-06 | 3 | 0 | 0 | | 2012-07-08 | 0 | 0 | 2 | | 2012-07-09 | 2 | 0 | 0 |
| 31.05.2015 | 210 | 526 | 158 | 98 | 36 | 2 | 1030 | | --- | --- | --- | --- | --- | --- | --- | --- | | Total | 452 | 979 | 273 | 185 | 62 | 9 | 1960 |
0
| Rank(withKISSME) | 1 | 5 | 10 | 20 | 30 | | --- | --- | --- | --- | --- | --- | | No-structure<br>Simple-average<br>AC+global<br>No-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 39.6<br>38.2<br>40.5<br>42.7<br>44.4<br>45.8<br>45.6<br>46.1 | 64.9<br>63.6<br>66.3<br>69.3<br>71.6<br>72.8<br>72.5<br>73.3 | 76.0<br>75.1<br>76.3<br>78.2<br>82.2<br>82.8<br>82.4<br>83.3 | 85.3<br>84.9<br>87.8<br>87.4<br>89.8<br>90.3<br>90.3<br>90.7 | 89.3<br>88.9<br>90.4<br>91.1<br>93.3<br>93.4<br>93.5<br>93.8 |
| Rank(withkLFDA) | 1 | 5 | 10 | 20 | 30 | | --- | --- | --- | --- | --- | --- | | No-structure<br>Simple-average<br>AC+global<br>No-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 46.5<br>44.7<br>47.7<br>49.3<br>51.1<br>52.9<br>52.7<br>53.2 | 74.5<br>73.7<br>75.4<br>76.5<br>77.7<br>79.3<br>78.8<br>79.0 | 82.2<br>81.4<br>82.7<br>84.3<br>85.1<br>86.2<br>85.7<br>86.9 | 88.1<br>87.4<br>88.9<br>89.6<br>91.2<br>92.2<br>91.8<br>92.7 | 92.7<br>91.6<br>92.5<br>93.3<br>94.4<br>95.0<br>94.8<br>95.6 | | 2Rank(withKMFA-R)χ | 1 | 5 | 10 | 20 | 30 | | Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 57.8<br>57.3<br>58.2<br>61.5<br>63.2<br>65.1<br>65.3<br>65.7 | 79.0<br>78.5<br>79.5<br>80.4<br>82.7<br>84.9<br>84.9<br>84.6 | 87.3<br>86.7<br>88.2<br>89.7<br>90.5<br>91.2<br>91.4<br>91.8 | 92.8<br>92.6<br>93.4<br>94.2<br>94.8<br>95.4<br>95.1<br>95.8 | 96.2<br>95.8<br>96.7<br>96.9<br>97.3<br>97.7<br>97.4<br>96.9 |
1
| Rank(withKISSME) | 1 | 5 | 10 | 20 | 30 | | --- | --- | --- | --- | --- | --- | | No-structure<br>Simple-average<br>AC+global<br>No-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 39.6<br>38.2<br>40.5<br>42.7<br>44.4<br>45.8<br>45.6<br>46.1 | 64.9<br>63.6<br>66.3<br>69.3<br>71.6<br>72.8<br>72.5<br>73.3 | 76.0<br>75.1<br>76.3<br>78.2<br>82.2<br>82.8<br>82.4<br>83.3 | 85.3<br>84.9<br>87.8<br>87.4<br>89.8<br>90.3<br>90.3<br>90.7 | 89.3<br>88.9<br>90.4<br>91.1<br>93.3<br>93.4<br>93.5<br>93.8 |
| Rank(withKISSME) | 1 | 5 | 10 | 15 | 20 | 30 | | --- | --- | --- | --- | --- | --- | --- | | Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 33.5<br>32.3<br>33.9<br>36.7<br>38.6<br>43.3<br>43.0<br>43.8 | 70.1<br>68.9<br>69.3<br>71.7<br>73.1<br>76.2<br>75.7<br>76.8 | 80.0<br>78.9<br>78.1<br>81.7<br>83.7<br>83.9<br>83.5<br>84.2 | 83.4<br>82.6<br>83.8<br>84.3<br>85.2<br>86.1<br>86.3<br>86.9 | 88.8<br>87.6<br>88.9<br>88.4<br>90.4<br>90.7<br>90.4<br>90.7 | 92.8<br>91.2<br>91.8<br>92.4<br>92.7<br>93.4<br>92.8<br>93.2 | | Rank(withkLFDA) | 1 | 5 | 10 | 15 | 20 | 30 | | Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 35.8<br>36.0<br>36.8<br>39.0<br>41.2<br>45.4<br>45.1<br>45.8 | 70.5<br>69.7<br>70.9<br>71.9<br>73.6<br>75.8<br>75.5<br>76.3 | 83.7<br>81.7<br>83.4<br>84.3<br>84.8<br>86.7<br>86.5<br>87.2 | 87.9<br>86.4<br>87.3<br>88.6<br>89.2<br>91.4<br>91.6<br>92.3 | 92.0<br>91.6<br>91.6<br>92.8<br>93.2<br>94.6<br>95.0<br>94.3 | 95.6<br>96.1<br>95.4<br>95.6<br>96.3<br>96.5<br>97.2<br>96.8 | | 2Rank(withKMFA-R)χ | 1 | 5 | 10 | 15 | 20 | 30 | | Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 42.3<br>41.5<br>42.7<br>44.5<br>46.2<br>49.3<br>49.1<br>49.6 | 71.3<br>71.0<br>72.6<br>74.3<br>76.4<br>77.9<br>77.5<br>78.6 | 84.5<br>84.3<br>84.8<br>85.6<br>87.2<br>88.1<br>87.7<br>88.9 | 88.5<br>88.2<br>88.8<br>89.7<br>90.8<br>92.7<br>92.3<br>93.5 | 91.8<br>92.1<br>92.4<br>93.3<br>94.2<br>94.7<br>95.0<br>95.4 | 95.2<br>95.7<br>96.3<br>96.0<br>96.7<br>97.4<br>97.2<br>97.8 |
0
| Rank(withKISSME) | 1 | 5 | 10 | 20 | 30 | | --- | --- | --- | --- | --- | --- | | No-structure<br>Simple-average<br>AC+global<br>No-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 39.6<br>38.2<br>40.5<br>42.7<br>44.4<br>45.8<br>45.6<br>46.1 | 64.9<br>63.6<br>66.3<br>69.3<br>71.6<br>72.8<br>72.5<br>73.3 | 76.0<br>75.1<br>76.3<br>78.2<br>82.2<br>82.8<br>82.4<br>83.3 | 85.3<br>84.9<br>87.8<br>87.4<br>89.8<br>90.3<br>90.3<br>90.7 | 89.3<br>88.9<br>90.4<br>91.1<br>93.3<br>93.4<br>93.5<br>93.8 | | Rank(withkLFDA) | 1 | 5 | 10 | 20 | 30 | | No-structure<br>Simple-average<br>AC+global<br>No-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 46.5<br>44.7<br>47.7<br>49.3<br>51.1<br>52.9<br>52.7<br>53.2 | 74.5<br>73.7<br>75.4<br>76.5<br>77.7<br>79.3<br>78.8<br>79.0 | 82.2<br>81.4<br>82.7<br>84.3<br>85.1<br>86.2<br>85.7<br>86.9 | 88.1<br>87.4<br>88.9<br>89.6<br>91.2<br>92.2<br>91.8<br>92.7 | 92.7<br>91.6<br>92.5<br>93.3<br>94.4<br>95.0<br>94.8<br>95.6 |
| 2Rank(withKMFA-R)χ | 1 | 5 | 10 | 20 | 30 | | --- | --- | --- | --- | --- | --- | | Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 57.8<br>57.3<br>58.2<br>61.5<br>63.2<br>65.1<br>65.3<br>65.7 | 79.0<br>78.5<br>79.5<br>80.4<br>82.7<br>84.9<br>84.9<br>84.6 | 87.3<br>86.7<br>88.2<br>89.7<br>90.5<br>91.2<br>91.4<br>91.8 | 92.8<br>92.6<br>93.4<br>94.2<br>94.8<br>95.4<br>95.1<br>95.8 | 96.2<br>95.8<br>96.7<br>96.9<br>97.3<br>97.7<br>97.4<br>96.9 |
1
| Rank(withKISSME) | 1 | 5 | 10 | 20 | 30 | | --- | --- | --- | --- | --- | --- | | No-structure<br>Simple-average<br>AC+global<br>No-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 39.6<br>38.2<br>40.5<br>42.7<br>44.4<br>45.8<br>45.6<br>46.1 | 64.9<br>63.6<br>66.3<br>69.3<br>71.6<br>72.8<br>72.5<br>73.3 | 76.0<br>75.1<br>76.3<br>78.2<br>82.2<br>82.8<br>82.4<br>83.3 | 85.3<br>84.9<br>87.8<br>87.4<br>89.8<br>90.3<br>90.3<br>90.7 | 89.3<br>88.9<br>90.4<br>91.1<br>93.3<br>93.4<br>93.5<br>93.8 | | Rank(withkLFDA) | 1 | 5 | 10 | 20 | 30 | | No-structure<br>Simple-average<br>AC+global<br>No-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 46.5<br>44.7<br>47.7<br>49.3<br>51.1<br>52.9<br>52.7<br>53.2 | 74.5<br>73.7<br>75.4<br>76.5<br>77.7<br>79.3<br>78.8<br>79.0 | 82.2<br>81.4<br>82.7<br>84.3<br>85.1<br>86.2<br>85.7<br>86.9 | 88.1<br>87.4<br>88.9<br>89.6<br>91.2<br>92.2<br>91.8<br>92.7 | 92.7<br>91.6<br>92.5<br>93.3<br>94.4<br>95.0<br>94.8<br>95.6 |
| 2Rank(withKMFA-R)χ | 1 | 5 | 10 | 15 | 20 | 30 | | --- | --- | --- | --- | --- | --- | --- | | Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 42.3<br>41.5<br>42.7<br>44.5<br>46.2<br>49.3<br>49.1<br>49.6 | 71.3<br>71.0<br>72.6<br>74.3<br>76.4<br>77.9<br>77.5<br>78.6 | 84.5<br>84.3<br>84.8<br>85.6<br>87.2<br>88.1<br>87.7<br>88.9 | 88.5<br>88.2<br>88.8<br>89.7<br>90.8<br>92.7<br>92.3<br>93.5 | 91.8<br>92.1<br>92.4<br>93.3<br>94.2<br>94.7<br>95.0<br>95.4 | 95.2<br>95.7<br>96.3<br>96.0<br>96.7<br>97.4<br>97.2<br>97.8 |
0
| | Precision | Recall | F-measure | | --- | --- | --- | --- | | Analysis1 | 0.71 | 0.5 | 0.59 |
| Analysis2 | 1 | 0.6 | 0.75 | | --- | --- | --- | --- | | Analysis3 | 1 | 0.5 | 0.67 | | Analysis4 | 0.7 | 0.3 | 0.42 | | Average | 0.85 | 0.48 | 0.61 |
1
| | Precision | Recall | F-measure | | --- | --- | --- | --- | | Analysis1 | 0.71 | 0.5 | 0.59 |
| Precision | Recall | F-measure | MAE | | --- | --- | --- | --- | | 0.892 | 0.811 | 0.872 | 0.084 | | 0.852 | 0.746 | 0.825 | 0.132 | | 0.912 | 0.740 | 0.865 | 0.107 | | 0.873 | 0.730 | 0.836 | 0.129 |
0
| | Precision | Recall | F-measure | | --- | --- | --- | --- | | Analysis1 | 0.71 | 0.5 | 0.59 |
| Analysis2 | 1 | 0.6 | 0.75 | | --- | --- | --- | --- | | Analysis3 | 1 | 0.5 | 0.67 | | Analysis4 | 0.7 | 0.3 | 0.42 | | Average | 0.85 | 0.48 | 0.61 |
1
| | Precision | Recall | F-measure | | --- | --- | --- | --- | | Analysis1 | 0.71 | 0.5 | 0.59 |
| 0.912 | 0.740 | 0.865 | 0.107 | | --- | --- | --- | --- | | 0.873 | 0.730 | 0.836 | 0.129 |
0
| Topic1 | Topic3 | | --- | --- | | web[0.0048] | set[0.0047] | | search[0.0048] | software[0.0032] | | online[0.0047] | virus[0.0028] | | news[0.0046] | users[0.0027] | | google[0.0033] | firms[0.0025] | | people[0.0032] | microsoft[0.0025] | | information[0.0032] | security[0.0022] | | internet[0.0029] | windows[0.0022] | | website[0.0027] | file[0.0013] | | users[0.0020] | programs[0.0011] | | Topic2 | Topic4 | | system[0.0064] | site[0.0042] | | music[0.0045] | net[0.0038] | | devices[0.0043] | spam[0.0035] | | players[0.0035] | mail[0.0028] | | media[0.0032] | firm[0.0027] | | digital[0.0027] | data[0.0024] |
| market[0.0024] | attacks[0.0019] | | --- | --- | | technology[0.0022] | network[0.0018] | | consumer[0.0021] | web[0.0016] | | technologies[0.0018] | research[0.0014] |
1
| Topic1 | Topic3 | | --- | --- | | web[0.0048] | set[0.0047] | | search[0.0048] | software[0.0032] | | online[0.0047] | virus[0.0028] | | news[0.0046] | users[0.0027] | | google[0.0033] | firms[0.0025] | | people[0.0032] | microsoft[0.0025] | | information[0.0032] | security[0.0022] | | internet[0.0029] | windows[0.0022] | | website[0.0027] | file[0.0013] | | users[0.0020] | programs[0.0011] | | Topic2 | Topic4 | | system[0.0064] | site[0.0042] | | music[0.0045] | net[0.0038] | | devices[0.0043] | spam[0.0035] | | players[0.0035] | mail[0.0028] | | media[0.0032] | firm[0.0027] | | digital[0.0027] | data[0.0024] |
| Type | Feature | InformationGain | | | --- | --- | --- | --- | | Anonymous | Identifiable | | | | Numeric | #offriends | 0.015026 | 0.04283 | | #offollowers | 0.009373 | 0.04705 | | | followers-to-friendsratio | 0.000822 | 0.00468 | | | #ofuserlistmemberships | 0.002298 | 0.02168 | | | #oftweets | 0.005205 | 0.02584 | | | #offavoritetweets | 0.016624 | 0.0166 | | | numberofparts/wordsinthenamestring | 0.033509 | 0.19704 | | | popularityrankofoccurringfirstnameinthe<br>namelist | 0.156569 | 0.23648 | | | popularityrankofoccurringlastnameinthe<br>namelist | 0.062874 | 0.2413 | | | #ofScrabblewordspresentinthename | 0.023888 | 0.06242 | | | wordfrequencyrankofoccurringfirstnameinthe<br>Scrabblelist | 0.040174 | 0.06794 | | | wordfrequencyrankofoccurringlastnamein<br>Scrabblelist | 0.033384 | 0.07316 | | | Boolean | enabledprotectedprivacyfeature | 0.00023 | 0.00129 | | enabledgeo-taggingfortweets | 0.002429 | 0.00105 | | | includesaurlintheprofile | 0.091024 | 0.00821 | | | namefollowsstructuralconstraints | 0.044985 | 0.185 | |
0
| Topic1 | Topic3 | | --- | --- | | web[0.0048] | set[0.0047] | | search[0.0048] | software[0.0032] | | online[0.0047] | virus[0.0028] | | news[0.0046] | users[0.0027] | | google[0.0033] | firms[0.0025] | | people[0.0032] | microsoft[0.0025] | | information[0.0032] | security[0.0022] | | internet[0.0029] | windows[0.0022] | | website[0.0027] | file[0.0013] | | users[0.0020] | programs[0.0011] | | Topic2 | Topic4 | | system[0.0064] | site[0.0042] | | music[0.0045] | net[0.0038] | | devices[0.0043] | spam[0.0035] | | players[0.0035] | mail[0.0028] | | media[0.0032] | firm[0.0027] | | digital[0.0027] | data[0.0024] | | market[0.0024] | attacks[0.0019] |
| technology[0.0022] | network[0.0018] | | --- | --- | | consumer[0.0021] | web[0.0016] | | technologies[0.0018] | research[0.0014] |
1
| Topic1 | Topic3 | | --- | --- | | web[0.0048] | set[0.0047] | | search[0.0048] | software[0.0032] | | online[0.0047] | virus[0.0028] | | news[0.0046] | users[0.0027] | | google[0.0033] | firms[0.0025] | | people[0.0032] | microsoft[0.0025] | | information[0.0032] | security[0.0022] | | internet[0.0029] | windows[0.0022] | | website[0.0027] | file[0.0013] | | users[0.0020] | programs[0.0011] | | Topic2 | Topic4 | | system[0.0064] | site[0.0042] | | music[0.0045] | net[0.0038] | | devices[0.0043] | spam[0.0035] | | players[0.0035] | mail[0.0028] | | media[0.0032] | firm[0.0027] | | digital[0.0027] | data[0.0024] | | market[0.0024] | attacks[0.0019] |
| #ofuserlistmemberships | 0.002298 | 0.02168 | | | --- | --- | --- | --- | | #oftweets | 0.005205 | 0.02584 | | | #offavoritetweets | 0.016624 | 0.0166 | | | numberofparts/wordsinthenamestring | 0.033509 | 0.19704 | | | popularityrankofoccurringfirstnameinthe<br>namelist | 0.156569 | 0.23648 | | | popularityrankofoccurringlastnameinthe<br>namelist | 0.062874 | 0.2413 | | | #ofScrabblewordspresentinthename | 0.023888 | 0.06242 | | | wordfrequencyrankofoccurringfirstnameinthe<br>Scrabblelist | 0.040174 | 0.06794 | | | wordfrequencyrankofoccurringlastnamein<br>Scrabblelist | 0.033384 | 0.07316 | | | Boolean | enabledprotectedprivacyfeature | 0.00023 | 0.00129 | | enabledgeo-taggingfortweets | 0.002429 | 0.00105 | | | includesaurlintheprofile | 0.091024 | 0.00821 | | | namefollowsstructuralconstraints | 0.044985 | 0.185 | |
0
| Similar | | | | | | --- | --- | --- | --- | --- | | | K | N.TFT | B. | C. | | Averse<br>Neutral<br>Mix<br>Seeker<br>SBV | 0.241<br>0.259<br>0.250<br>0.169<br>0.181 | 0.160<br>0.164<br>0.216<br>0.248<br>0.150 | 0.238<br>0.224<br>0.267<br>0.283<br>0.184 | 0.372<br>0.557<br>0.520<br>0.615<br>0.552 | | AverageSimilarity | | | | | | | K | N.TFT | B. | C. | | Averse<br>Neutral<br>Mix<br>Seeker<br>SBV | 0.188<br>0.248<br>0.231<br>0.149<br>0.168 | 0.147<br>0.158<br>0.171<br>0.162<br>0.137 | 0.186<br>0.224<br>0.222<br>0.224<br>0.170 | 0.308<br>0.390<br>0.383<br>0.477<br>0.324 | | Dissimilar | | | | |
| | K | N.TFT | B. | C. | | --- | --- | --- | --- | --- | | Averse<br>Neutral<br>Mix<br>Seeker<br>SBV | 0.203<br>0.209<br>0.228<br>0.060<br>0.07 | 0.167<br>0.196<br>0.183<br>0.247<br>0.16 | 0.245<br>0.271<br>0.265<br>0.294<br>0.128 | 0.373<br>0.475<br>0.452<br>0.566<br>0.257 |
1
| Similar | | | | | | --- | --- | --- | --- | --- | | | K | N.TFT | B. | C. | | Averse<br>Neutral<br>Mix<br>Seeker<br>SBV | 0.241<br>0.259<br>0.250<br>0.169<br>0.181 | 0.160<br>0.164<br>0.216<br>0.248<br>0.150 | 0.238<br>0.224<br>0.267<br>0.283<br>0.184 | 0.372<br>0.557<br>0.520<br>0.615<br>0.552 | | AverageSimilarity | | | | | | | K | N.TFT | B. | C. | | Averse<br>Neutral<br>Mix<br>Seeker<br>SBV | 0.188<br>0.248<br>0.231<br>0.149<br>0.168 | 0.147<br>0.158<br>0.171<br>0.162<br>0.137 | 0.186<br>0.224<br>0.222<br>0.224<br>0.170 | 0.308<br>0.390<br>0.383<br>0.477<br>0.324 | | Dissimilar | | | | |
| #Params | RVD | | | --- | --- | --- | | @1 | @10 | | | 0.09m<br>1.82m | 0.106<br>0.190 | 0.316<br>0.452 | | 10.2m<br>10.6m<br>10.4m<br>10.8m | 0.175<br>0.187<br>0.286<br>0.293 | 0.465<br>0.492<br>0.573<br>0.581 | | 11.1m<br>11.7m | 0.307<br>0.308 | 0.600<br>0.608 |
0
| Similar | | | | | | --- | --- | --- | --- | --- | | | K | N.TFT | B. | C. | | Averse<br>Neutral<br>Mix<br>Seeker<br>SBV | 0.241<br>0.259<br>0.250<br>0.169<br>0.181 | 0.160<br>0.164<br>0.216<br>0.248<br>0.150 | 0.238<br>0.224<br>0.267<br>0.283<br>0.184 | 0.372<br>0.557<br>0.520<br>0.615<br>0.552 | | AverageSimilarity | | | | | | | K | N.TFT | B. | C. | | Averse<br>Neutral<br>Mix<br>Seeker<br>SBV | 0.188<br>0.248<br>0.231<br>0.149<br>0.168 | 0.147<br>0.158<br>0.171<br>0.162<br>0.137 | 0.186<br>0.224<br>0.222<br>0.224<br>0.170 | 0.308<br>0.390<br>0.383<br>0.477<br>0.324 | | Dissimilar | | | | |
| | K | N.TFT | B. | C. | | --- | --- | --- | --- | --- | | Averse<br>Neutral<br>Mix<br>Seeker<br>SBV | 0.203<br>0.209<br>0.228<br>0.060<br>0.07 | 0.167<br>0.196<br>0.183<br>0.247<br>0.16 | 0.245<br>0.271<br>0.265<br>0.294<br>0.128 | 0.373<br>0.475<br>0.452<br>0.566<br>0.257 |
1
| Similar | | | | | | --- | --- | --- | --- | --- | | | K | N.TFT | B. | C. | | Averse<br>Neutral<br>Mix<br>Seeker<br>SBV | 0.241<br>0.259<br>0.250<br>0.169<br>0.181 | 0.160<br>0.164<br>0.216<br>0.248<br>0.150 | 0.238<br>0.224<br>0.267<br>0.283<br>0.184 | 0.372<br>0.557<br>0.520<br>0.615<br>0.552 | | AverageSimilarity | | | | | | | K | N.TFT | B. | C. | | Averse<br>Neutral<br>Mix<br>Seeker<br>SBV | 0.188<br>0.248<br>0.231<br>0.149<br>0.168 | 0.147<br>0.158<br>0.171<br>0.162<br>0.137 | 0.186<br>0.224<br>0.222<br>0.224<br>0.170 | 0.308<br>0.390<br>0.383<br>0.477<br>0.324 | | Dissimilar | | | | |
| 10.2m<br>10.6m<br>10.4m<br>10.8m | 0.175<br>0.187<br>0.286<br>0.293 | 0.465<br>0.492<br>0.573<br>0.581 | | --- | --- | --- | | 11.1m<br>11.7m | 0.307<br>0.308 | 0.600<br>0.608 |
0
| Focus | Description | | --- | --- | | F0 | baselinebroadcastspeech(clean,planned) | | F1 | spontaneousbroadcastspeech(clean) | | F2 | lowfidelityspeech(typicallynarrowband) |
| F3 | speechinthepresenceofbackgroundmusic | | --- | --- | | F4 | speechunderdegradedacousticalconditions | | F5 | non-nativespeakers(clean,planned) | | FX | allotherspeech(e.g.spontanousnon-native) |
1
| Focus | Description | | --- | --- | | F0 | baselinebroadcastspeech(clean,planned) | | F1 | spontaneousbroadcastspeech(clean) | | F2 | lowfidelityspeech(typicallynarrowband) |
| Device-directedspeech | | --- | | what’stheweatherlikeinlasvegas | | playpopularmusic | | markthefirstitemdone | | whatisscratchprogramming | | Nondevice-directedspeech | | oriftheywantshecanjustqueueforbetter | | wellthat’showwehadallthetraining | | talktoalexabutwe’retalkingtodannyrightnow | | livetogetherlikemonthsagoandtheymaystillbe<br>boring |
0
| Focus | Description | | --- | --- | | F0 | baselinebroadcastspeech(clean,planned) | | F1 | spontaneousbroadcastspeech(clean) | | F2 | lowfidelityspeech(typicallynarrowband) |
| F3 | speechinthepresenceofbackgroundmusic | | --- | --- | | F4 | speechunderdegradedacousticalconditions | | F5 | non-nativespeakers(clean,planned) | | FX | allotherspeech(e.g.spontanousnon-native) |
1
| Focus | Description | | --- | --- | | F0 | baselinebroadcastspeech(clean,planned) | | F1 | spontaneousbroadcastspeech(clean) | | F2 | lowfidelityspeech(typicallynarrowband) |
| talktoalexabutwe’retalkingtodannyrightnow | | --- | | livetogetherlikemonthsagoandtheymaystillbe<br>boring |
0
| n | q | k | log(m) | log(N) | Reasonable | Optimistic | Pessimistic | Previous | | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 64 | 4099 | 16 | 30 | 0 | 39.6 | 39.6 | 40.6 | 56.2 |
| 80 | 6421 | 17 | 38 | 0 | 47.9 | 46.0 | 48.0 | 66.9 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 96 | 9221 | 18 | 45 | 0 | 55.3 | 54.3 | 56.3 | 77.4 | | 112 | 12547 | 18 | 54 | 0 | 64.6 | 60.6 | 65.6 | 89.6 | | 128 | 16411 | 19 | 60 | 0 | 70.8 | 67.8 | 72.8 | 98.8 | | 160 | 25601 | 20 | 75 | 0 | 86.2 | 82.2 | 88.2 | 119.7 | | 224 | 50177 | 21 | 93 | 13 | 117.8 | 111.8 | 121.8 | 164.3 | | 256 | 65537 | 22 | 106 | 15 | 133.0 | 125.0 | 137.0 | 182.7 | | 384 | 147457 | 24 | 164 | 18 | 194.7 | 183.7 | 201.7 | 273.3 | | 512 | 262147 | 25 | 219 | 25 | 257.2 | 242.2 | 266.2 | 361.6 |
1
| n | q | k | log(m) | log(N) | Reasonable | Optimistic | Pessimistic | Previous | | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 64 | 4099 | 16 | 30 | 0 | 39.6 | 39.6 | 40.6 | 56.2 |
| Effect | R1 | R2 | R3 | R4 | R5 | R6 | R7 | R8 | R9 | R10 | Avg | STD | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | | | | | | | | | | | | | | | eτ | -170.40 | -146.54 | -83.92 | -55.00 | -131.83 | -6.05 | -128.09 | -110.66 | -184.81 | -152.86 | -117.02 | 55.01 | | eτ | 165.32 | 160.08 | 95.83 | 71.21 | 149.41 | 8.11 | 133.20 | 111.97 | 167.79 | 160.23 | 122.31 | 51.75 | | eN | 1.78 | 15.84 | -9.18 | 6.22 | 6.74 | 3.40 | -13.50 | 0.35 | -14.64 | -17.58 | -2.06 | 11.04 | | | | | | | | | | | | | | | | eτ | -122.99 | -165.55 | -144.34 | -64.94 | -168.15 | -8.09 | -154.27 | -170.61 | -189.59 | -187.66 | -137.62 | 58.31 | | eτ | 142.72 | 177.17 | 154.10 | 77.45 | 186.62 | 24.03 | 164.25 | 172.21 | 171.13 | 172.02 | 144.17 | 52.25 | | eN | 42.90 | 1.75 | 12.81 | 19.08 | 8.50 | -1.08 | -0.29 | -12.17 | 25.41 | -15.03 | 8.19 | 17.62 | | | | | | | | | | | | | | | | eτ | -151.65 | -140.59 | -132.44 | -35.97 | -166.98 | -7.63 | -159.37 | -171.89 | -194.38 | -163.85 | -132.47 | 61.12 | | eτ | 157.63 | 152.23 | 147.97 | 38.06 | 176.90 | 16.03 | 175.96 | 163.48 | 171.95 | 174.82 | 137.50 | 59.31 | | eN | 2.27 | 22.60 | 15.16 | 14.70 | 21.23 | 4.64 | 5.73 | 10.22 | 20.50 | 8.15 | 12.52 | 7.38 |
0
| n | q | k | log(m) | log(N) | Reasonable | Optimistic | Pessimistic | Previous | | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 64 | 4099 | 16 | 30 | 0 | 39.6 | 39.6 | 40.6 | 56.2 | | 80 | 6421 | 17 | 38 | 0 | 47.9 | 46.0 | 48.0 | 66.9 | | 96 | 9221 | 18 | 45 | 0 | 55.3 | 54.3 | 56.3 | 77.4 | | 112 | 12547 | 18 | 54 | 0 | 64.6 | 60.6 | 65.6 | 89.6 |
| 128 | 16411 | 19 | 60 | 0 | 70.8 | 67.8 | 72.8 | 98.8 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 160 | 25601 | 20 | 75 | 0 | 86.2 | 82.2 | 88.2 | 119.7 | | 224 | 50177 | 21 | 93 | 13 | 117.8 | 111.8 | 121.8 | 164.3 | | 256 | 65537 | 22 | 106 | 15 | 133.0 | 125.0 | 137.0 | 182.7 | | 384 | 147457 | 24 | 164 | 18 | 194.7 | 183.7 | 201.7 | 273.3 | | 512 | 262147 | 25 | 219 | 25 | 257.2 | 242.2 | 266.2 | 361.6 |
1
| n | q | k | log(m) | log(N) | Reasonable | Optimistic | Pessimistic | Previous | | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 64 | 4099 | 16 | 30 | 0 | 39.6 | 39.6 | 40.6 | 56.2 | | 80 | 6421 | 17 | 38 | 0 | 47.9 | 46.0 | 48.0 | 66.9 | | 96 | 9221 | 18 | 45 | 0 | 55.3 | 54.3 | 56.3 | 77.4 | | 112 | 12547 | 18 | 54 | 0 | 64.6 | 60.6 | 65.6 | 89.6 |
| | | | | | | | | | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | eτ | -151.65 | -140.59 | -132.44 | -35.97 | -166.98 | -7.63 | -159.37 | -171.89 | -194.38 | -163.85 | -132.47 | 61.12 | | eτ | 157.63 | 152.23 | 147.97 | 38.06 | 176.90 | 16.03 | 175.96 | 163.48 | 171.95 | 174.82 | 137.50 | 59.31 | | eN | 2.27 | 22.60 | 15.16 | 14.70 | 21.23 | 4.64 | 5.73 | 10.22 | 20.50 | 8.15 | 12.52 | 7.38 |
0
| Name | #Features | #Retainedfeatures | | --- | --- | --- | | Dailyaverage(AVG) | 23 | 18 | | Fixedinterval | 36 | 34 | | Generictimeseries(GTS) | 222 | 162 |
| Intrayeardifference | 12 | 12 | | --- | --- | --- | | Intrayearseasonaldifference | 11 | 11 | | Total | 304 | 237 |
1
| Name | #Features | #Retainedfeatures | | --- | --- | --- | | Dailyaverage(AVG) | 23 | 18 | | Fixedinterval | 36 | 34 | | Generictimeseries(GTS) | 222 | 162 |
| #APKs | TotalTime | AVGTime/APK | | --- | --- | --- | | 200 | 518 | 2.59 | | 400 | 1066 | 2.67 | | 600 | 1578 | 2.63 | | 800 | 2097 | 2.62 | | 1,000 | 2778 | 2.78 |
0
| Name | #Features | #Retainedfeatures | | --- | --- | --- | | Dailyaverage(AVG) | 23 | 18 | | Fixedinterval | 36 | 34 | | Generictimeseries(GTS) | 222 | 162 | | Intrayeardifference | 12 | 12 |
| Intrayearseasonaldifference | 11 | 11 | | --- | --- | --- | | Total | 304 | 237 |
1
| Name | #Features | #Retainedfeatures | | --- | --- | --- | | Dailyaverage(AVG) | 23 | 18 | | Fixedinterval | 36 | 34 | | Generictimeseries(GTS) | 222 | 162 | | Intrayeardifference | 12 | 12 |
| 800 | 2097 | 2.62 | | --- | --- | --- | | 1,000 | 2778 | 2.78 |
0
| | SVMSVM(RR)SVM(SDB)SVM(RM)CND | | --- | --- | | labelerror<br>bias<br>RRB | 0.2823(0)0.2778(0.025)0.2979(0.022)0.3000(0.017)0.2757<br>0.0886(4.2e-17)0.0732(0.066)0.0266(0.085)0.0445(0.028)0.0327<br>0.6756(0.081)0.7827(0.054)0.8619(0.041)0.6232(0.070)n/a | | | LRLR(RR)LR(SDB)LR(RM) | | labelerror<br>bias<br>RRB | 0.2541(0.005)0.2656(0.020)0.2685(0.021)0.2625(0.011)<br>0.1383(0.014)0.0095(0.064)0.0142(0.219)0.0202(0.566)<br>0.3070(0.067)0.8564(0.045)0.8687(0.042)0.6741(0.045) |
| | AdaBoostAB(RR)AB(SDB)AB(RM)AB(FWL) | | --- | --- | | labelerror<br>bias<br>RRB | 0.2602(0.009)0.2429(0.010)0.2745(0.010)0.2637(0.019)0.2859(0.016)<br>0.2617(0.272)0.0376(0.044)0.0034(0.064)0.0391(0.023)0.0093(0.035)<br>0.6774(0.219)0.8629(0.051)0.8596(0.067)0.6965(0.037)0.6879(0.042) |
1
| | SVMSVM(RR)SVM(SDB)SVM(RM)CND | | --- | --- | | labelerror<br>bias<br>RRB | 0.2823(0)0.2778(0.025)0.2979(0.022)0.3000(0.017)0.2757<br>0.0886(4.2e-17)0.0732(0.066)0.0266(0.085)0.0445(0.028)0.0327<br>0.6756(0.081)0.7827(0.054)0.8619(0.041)0.6232(0.070)n/a | | | LRLR(RR)LR(SDB)LR(RM) | | labelerror<br>bias<br>RRB | 0.2541(0.005)0.2656(0.020)0.2685(0.021)0.2625(0.011)<br>0.1383(0.014)0.0095(0.064)0.0142(0.219)0.0202(0.566)<br>0.3070(0.067)0.8564(0.045)0.8687(0.042)0.6741(0.045) |
| | SVMSVM(RR)SVM(SDB)SVM(RM) | | --- | --- | | labelerror<br>bias<br>RRB | 0.2718(5.7e-17)0.2793(0.009)0.2716(0.013)0.2876(0.015)<br>0.0550(1.4e-17)0.1460(0.017)0.0106(0.035)0.0260(0.047)<br>0.2424(0.045)0.2588(0.009)0.3064(0.042)0.2552(0.032) | | | LRLR(RR)LR(SDB)LR(RM) | | labelerror<br>bias<br>RRB | 0.2742(1.14e-16)0.3130(0.011)0.2745(0.010)0.2966(0.008)<br>0.1468(9.99e-18)0.3025(0.040)0.0034(0.640)0.0732(0.024)<br>0.1971(0.036)0.3213(0.035)0.8596(0.067)0.2117(0.036) | | | AdaBoostAB(RR)AB(SDB)AB(RM)AB(FWL) | | labelerror<br>bias<br>RRB | 0.2690(0.004)0.3088(0.009)0.2990(0.008)0.2860(0.019)0.2687(0.008)<br>0.0966(0.020)0.2123(0.013)0.0140(0.017)0.0180(0.037)0.0463(0.016)<br>0.2864(0.057)0.3996(0.105)0.4027(0.061)0.3325(0.060)0.2971(0.028) |
0
| | SVMSVM(RR)SVM(SDB)SVM(RM)CND | | --- | --- | | labelerror<br>bias<br>RRB | 0.2823(0)0.2778(0.025)0.2979(0.022)0.3000(0.017)0.2757<br>0.0886(4.2e-17)0.0732(0.066)0.0266(0.085)0.0445(0.028)0.0327<br>0.6756(0.081)0.7827(0.054)0.8619(0.041)0.6232(0.070)n/a | | | LRLR(RR)LR(SDB)LR(RM) |
| labelerror<br>bias<br>RRB | 0.2541(0.005)0.2656(0.020)0.2685(0.021)0.2625(0.011)<br>0.1383(0.014)0.0095(0.064)0.0142(0.219)0.0202(0.566)<br>0.3070(0.067)0.8564(0.045)0.8687(0.042)0.6741(0.045) | | --- | --- | | | AdaBoostAB(RR)AB(SDB)AB(RM)AB(FWL) | | labelerror<br>bias<br>RRB | 0.2602(0.009)0.2429(0.010)0.2745(0.010)0.2637(0.019)0.2859(0.016)<br>0.2617(0.272)0.0376(0.044)0.0034(0.064)0.0391(0.023)0.0093(0.035)<br>0.6774(0.219)0.8629(0.051)0.8596(0.067)0.6965(0.037)0.6879(0.042) |
1
| | SVMSVM(RR)SVM(SDB)SVM(RM)CND | | --- | --- | | labelerror<br>bias<br>RRB | 0.2823(0)0.2778(0.025)0.2979(0.022)0.3000(0.017)0.2757<br>0.0886(4.2e-17)0.0732(0.066)0.0266(0.085)0.0445(0.028)0.0327<br>0.6756(0.081)0.7827(0.054)0.8619(0.041)0.6232(0.070)n/a | | | LRLR(RR)LR(SDB)LR(RM) |
| | AdaBoostAB(RR)AB(SDB)AB(RM)AB(FWL) | | --- | --- | | labelerror<br>bias<br>RRB | 0.2690(0.004)0.3088(0.009)0.2990(0.008)0.2860(0.019)0.2687(0.008)<br>0.0966(0.020)0.2123(0.013)0.0140(0.017)0.0180(0.037)0.0463(0.016)<br>0.2864(0.057)0.3996(0.105)0.4027(0.061)0.3325(0.060)0.2971(0.028) |
0
| | RegExLib | Snort | | --- | --- | --- | | Totalpatterns | 2994 | 12499 | | Analyzable(onlyregularconstructs) | 2213 | 9408 | | UsesKleenestar | 1103 | 2741 | | PumpableKleeneandsuffixfound | 127 | 15 |
| PumpableKleeneonly | 20 | 4 | | --- | --- | --- | | NopumpableKleene | 2066 | 9389 | | MaxHFπsteps | 509 | 256 | | Totalclassificationtime<br>(IntelCore2Duo1.8MHz,4GBRAM) | 40s | 10s |
1
| | RegExLib | Snort | | --- | --- | --- | | Totalpatterns | 2994 | 12499 | | Analyzable(onlyregularconstructs) | 2213 | 9408 | | UsesKleenestar | 1103 | 2741 | | PumpableKleeneandsuffixfound | 127 | 15 |
| TotalNodes | 8 | Packetsize | 2000bytes | | --- | --- | --- | --- | | DataSlots | 17 | PacketgenerationInterval | 1msec | | Tc | 1.5msec | Queuelength | 100 | | Td | 2msec | Routing | AODV | | Ta | 0.5msec | Simulationtime | 20sec | | Tq | 20msec | Source | CBR | | Flow1 | PI21 | Flow3 | PI9 | | Flow2 | PI15 | Flow4 | Pi3 | | Throughputflow1 | 130.03kbps | Throughputflow3 | 71.76kbps | | Throughputflow2 | 81.71kbps | Throughputflow4 | 59.68kbps |
0
| | RegExLib | Snort | | --- | --- | --- | | Totalpatterns | 2994 | 12499 |
| Analyzable(onlyregularconstructs) | 2213 | 9408 | | --- | --- | --- | | UsesKleenestar | 1103 | 2741 | | PumpableKleeneandsuffixfound | 127 | 15 | | PumpableKleeneonly | 20 | 4 | | NopumpableKleene | 2066 | 9389 | | MaxHFπsteps | 509 | 256 | | Totalclassificationtime<br>(IntelCore2Duo1.8MHz,4GBRAM) | 40s | 10s |
1
| | RegExLib | Snort | | --- | --- | --- | | Totalpatterns | 2994 | 12499 |
| Tc | 1.5msec | Queuelength | 100 | | --- | --- | --- | --- | | Td | 2msec | Routing | AODV | | Ta | 0.5msec | Simulationtime | 20sec | | Tq | 20msec | Source | CBR | | Flow1 | PI21 | Flow3 | PI9 | | Flow2 | PI15 | Flow4 | Pi3 | | Throughputflow1 | 130.03kbps | Throughputflow3 | 71.76kbps | | Throughputflow2 | 81.71kbps | Throughputflow4 | 59.68kbps |
0
| Event | TopDomains(numberofresourcesfound) | | --- | --- | | MJ | youtube(110),twitpic(45),latimes(43),cnn(30),amazon(30) | | Iran | youtube(385),twitpic(36),blogspot(30),roozonline(29) |
| H1N1 | rhizalabs(676),reuters(17),google(16),flutrackers(16),calgaryherald(11) | | --- | --- | | Obama | blogspot(16),nytimes(15),wordpress(12),youtube(11),cnn(10) | | Egypt | youtube(2414),cloudfront(2303),yfrog(1255),twitpic(114),imageshack.us(20) | | Syria | youtube(130),twitter(61),hostpic.biz(9),telegraph.co.uk(5) |
1
| Event | TopDomains(numberofresourcesfound) | | --- | --- | | MJ | youtube(110),twitpic(45),latimes(43),cnn(30),amazon(30) | | Iran | youtube(385),twitpic(36),blogspot(30),roozonline(29) |
| Referrer | Clicks | | --- | --- | | http://www.google.com | 980 | | http://m.facebook.com | 670 | | http://fasebook.c0m.at | 640 | | http://www.facebook.com | 550 | | http://www.clixsense.com | 220 | | http://www.youtube.com | 181 | | http://servinox.com.co | 132 | | http://www.akihabarashop.jp | 130 | | http://dflogins.1s.fr | 91 | | http://www.google.ro | 90 |
0
| Event | TopDomains(numberofresourcesfound) | | --- | --- | | MJ | youtube(110),twitpic(45),latimes(43),cnn(30),amazon(30) |
| Iran | youtube(385),twitpic(36),blogspot(30),roozonline(29) | | --- | --- | | H1N1 | rhizalabs(676),reuters(17),google(16),flutrackers(16),calgaryherald(11) | | Obama | blogspot(16),nytimes(15),wordpress(12),youtube(11),cnn(10) | | Egypt | youtube(2414),cloudfront(2303),yfrog(1255),twitpic(114),imageshack.us(20) | | Syria | youtube(130),twitter(61),hostpic.biz(9),telegraph.co.uk(5) |
1
| Event | TopDomains(numberofresourcesfound) | | --- | --- | | MJ | youtube(110),twitpic(45),latimes(43),cnn(30),amazon(30) |
| http://servinox.com.co | 132 | | --- | --- | | http://www.akihabarashop.jp | 130 | | http://dflogins.1s.fr | 91 | | http://www.google.ro | 90 |
0
| Scale | Bicubic<br>PSNR/SSIM | A+<br>PSNR/SSIM | RFL<br>PSNR/SSIM | SelfEx<br>PSNR/SSIM | SRCNN<br>PSNR/SSIM | | --- | --- | --- | --- | --- | --- | | ×2<br>×3<br>×4 | 33.66/0.9299<br>30.39/0.8682<br>28.42/0.8104 | 36.54/0.9544<br>32.58/0.9088<br>30.28/0.8603 | 36.54/0.9537<br>32.43/0.9057<br>30.14/0.8548 | 36.49/0.9537<br>32.58/0.9093<br>30.31/0.8619 | 36.66/0.9542<br>32.75/0.9090<br>30.48/0.8628 | | ×2<br>×3<br>×4 | 30.24/0.8688<br>27.55/0.7742<br>26.00/0.7027 | 32.28/0.9056<br>29.13/0.8188<br>27.32/0.7491 | 32.26/0.9040<br>29.05/0.8164<br>27.24/0.7451 | 32.22/0.9034<br>29.16/0.8196<br>27.40/0.7518 | 32.42/0.9063<br>29.28/0.8209<br>27.49/0.7503 |
| ×2<br>×3<br>×4 | 29.56/0.8431<br>27.21/0.7385<br>25.96/0.6675 | 31.21/0.8863<br>28.29/0.7835<br>26.82/0.7087 | 31.16/0.8840<br>28.22/0.7806<br>26.75/0.7054 | 31.18/0.8855<br>28.29/0.7840<br>26.84/0.7106 | 31.36/0.8879<br>28.41/0.7863<br>26.90/0.7101 | | --- | --- | --- | --- | --- | --- | | ×2<br>×3<br>×4 | 26.88/0.8403<br>24.46/0.7349<br>23.14/0.6577 | 29.20/0.8938<br>26.03/0.7973<br>24.32/0.7183 | 29.11/0.8904<br>25.86/0.7900<br>24.19/0.7096 | 29.54/0.8967<br>26.44/0.8088<br>24.79/0.7374 | 29.50/0.8946<br>26.24/0.7989<br>24.52/0.7221 |
1
| Scale | Bicubic<br>PSNR/SSIM | A+<br>PSNR/SSIM | RFL<br>PSNR/SSIM | SelfEx<br>PSNR/SSIM | SRCNN<br>PSNR/SSIM | | --- | --- | --- | --- | --- | --- | | ×2<br>×3<br>×4 | 33.66/0.9299<br>30.39/0.8682<br>28.42/0.8104 | 36.54/0.9544<br>32.58/0.9088<br>30.28/0.8603 | 36.54/0.9537<br>32.43/0.9057<br>30.14/0.8548 | 36.49/0.9537<br>32.58/0.9093<br>30.31/0.8619 | 36.66/0.9542<br>32.75/0.9090<br>30.48/0.8628 | | ×2<br>×3<br>×4 | 30.24/0.8688<br>27.55/0.7742<br>26.00/0.7027 | 32.28/0.9056<br>29.13/0.8188<br>27.32/0.7491 | 32.26/0.9040<br>29.05/0.8164<br>27.24/0.7451 | 32.22/0.9034<br>29.16/0.8196<br>27.40/0.7518 | 32.42/0.9063<br>29.28/0.8209<br>27.49/0.7503 |
| Skip | NA | BN | IN | NA | BN | | --- | --- | --- | --- | --- | --- | | Dec | NA | NA | NA | BN | BN | | PSNR<br>SSIM | 18.24<br>0.7945 | 25.67<br>0.9442 | 26.00<br>0.9414 | 25.99<br>0.9385 | 26.38<br>0.9519 | | Skip | IN | NA | BN | IN | Perceptual<br>loss | | Dec | BN | IN | IN | IN | | | PSNR<br>SSIM | 26.89<br>0.9535 | 26.57<br>0.9381 | 27.67<br>0.9543 | 27.75<br>0.9549 | 27.79<br>0.9556 |
0
| Scale | Bicubic<br>PSNR/SSIM | A+<br>PSNR/SSIM | RFL<br>PSNR/SSIM | SelfEx<br>PSNR/SSIM | SRCNN<br>PSNR/SSIM | | --- | --- | --- | --- | --- | --- | | ×2<br>×3<br>×4 | 33.66/0.9299<br>30.39/0.8682<br>28.42/0.8104 | 36.54/0.9544<br>32.58/0.9088<br>30.28/0.8603 | 36.54/0.9537<br>32.43/0.9057<br>30.14/0.8548 | 36.49/0.9537<br>32.58/0.9093<br>30.31/0.8619 | 36.66/0.9542<br>32.75/0.9090<br>30.48/0.8628 | | ×2<br>×3<br>×4 | 30.24/0.8688<br>27.55/0.7742<br>26.00/0.7027 | 32.28/0.9056<br>29.13/0.8188<br>27.32/0.7491 | 32.26/0.9040<br>29.05/0.8164<br>27.24/0.7451 | 32.22/0.9034<br>29.16/0.8196<br>27.40/0.7518 | 32.42/0.9063<br>29.28/0.8209<br>27.49/0.7503 |
| ×2<br>×3<br>×4 | 29.56/0.8431<br>27.21/0.7385<br>25.96/0.6675 | 31.21/0.8863<br>28.29/0.7835<br>26.82/0.7087 | 31.16/0.8840<br>28.22/0.7806<br>26.75/0.7054 | 31.18/0.8855<br>28.29/0.7840<br>26.84/0.7106 | 31.36/0.8879<br>28.41/0.7863<br>26.90/0.7101 | | --- | --- | --- | --- | --- | --- | | ×2<br>×3<br>×4 | 26.88/0.8403<br>24.46/0.7349<br>23.14/0.6577 | 29.20/0.8938<br>26.03/0.7973<br>24.32/0.7183 | 29.11/0.8904<br>25.86/0.7900<br>24.19/0.7096 | 29.54/0.8967<br>26.44/0.8088<br>24.79/0.7374 | 29.50/0.8946<br>26.24/0.7989<br>24.52/0.7221 |
1
| Scale | Bicubic<br>PSNR/SSIM | A+<br>PSNR/SSIM | RFL<br>PSNR/SSIM | SelfEx<br>PSNR/SSIM | SRCNN<br>PSNR/SSIM | | --- | --- | --- | --- | --- | --- | | ×2<br>×3<br>×4 | 33.66/0.9299<br>30.39/0.8682<br>28.42/0.8104 | 36.54/0.9544<br>32.58/0.9088<br>30.28/0.8603 | 36.54/0.9537<br>32.43/0.9057<br>30.14/0.8548 | 36.49/0.9537<br>32.58/0.9093<br>30.31/0.8619 | 36.66/0.9542<br>32.75/0.9090<br>30.48/0.8628 | | ×2<br>×3<br>×4 | 30.24/0.8688<br>27.55/0.7742<br>26.00/0.7027 | 32.28/0.9056<br>29.13/0.8188<br>27.32/0.7491 | 32.26/0.9040<br>29.05/0.8164<br>27.24/0.7451 | 32.22/0.9034<br>29.16/0.8196<br>27.40/0.7518 | 32.42/0.9063<br>29.28/0.8209<br>27.49/0.7503 |
| Dec | BN | IN | IN | IN | | | --- | --- | --- | --- | --- | --- | | PSNR<br>SSIM | 26.89<br>0.9535 | 26.57<br>0.9381 | 27.67<br>0.9543 | 27.75<br>0.9549 | 27.79<br>0.9556 |
0
| #cls.,p | Polish0.07<br>acc.#cls. | Polish0.15<br>acc.#cls. | Polish0.3<br>acc.#cls. | Metis<br>acc.#cls. | DBscan<br>acc.#cls. | | --- | --- | --- | --- | --- | --- | | 1,000,0.3 | 0.9931,601 | 0.7981,552 | 0.2294,891 | 0.0721,396 | 0.256710 | | 3,000,0.3 | 0.9913,217 | 0.4845,075 | 0.1461,631 | 0.1193,299 | 0.1902,404 | | 10,000,0.3 | 0.99311,088 | 0.57415,970 | 0.15310,169 | 0.30511,431 | 0.2037,868 | | 1,000,0.5 | 0.9991,155 | 0.9981,026 | 0.6192,772 | 0.0651,396 | 0.381732 | | 3,000,0.5 | 14,273 | 0.9913,152 | 0.29910,375 | 0.1173,299 | 0.3152,380 | | 10,000,0.5 | 115,379 | 0.99310,390 | 0.35237,892 | 0.30211,431 | 0.3297,952 | | 1,000,0.9 | 11,173 | 13,364 | 12,929 | 0.0641,373 | 0.798785 | | 3,000,0.9 | 14,249 | 14,300 | 13,467 | 0.1143,277 | 0.8032,379 | | 10,000,0.9 | 114,585 | 117,472 | 113,106 | 0.30411,326 | 0.7997,843 |
| 1,000,1.0 | 1999 | 1999 | 1999 | 0.0921,000 | 11,000 | | --- | --- | --- | --- | --- | --- | | 3,000,1.0 | 12,999 | 12,999 | 12,999 | 0.1543,000 | 13,000 | | 10,000,1.0 | 19,999 | 19,999 | 19,999 | 0.63410,000 | 110,000 |
1
| #cls.,p | Polish0.07<br>acc.#cls. | Polish0.15<br>acc.#cls. | Polish0.3<br>acc.#cls. | Metis<br>acc.#cls. | DBscan<br>acc.#cls. | | --- | --- | --- | --- | --- | --- | | 1,000,0.3 | 0.9931,601 | 0.7981,552 | 0.2294,891 | 0.0721,396 | 0.256710 | | 3,000,0.3 | 0.9913,217 | 0.4845,075 | 0.1461,631 | 0.1193,299 | 0.1902,404 | | 10,000,0.3 | 0.99311,088 | 0.57415,970 | 0.15310,169 | 0.30511,431 | 0.2037,868 | | 1,000,0.5 | 0.9991,155 | 0.9981,026 | 0.6192,772 | 0.0651,396 | 0.381732 | | 3,000,0.5 | 14,273 | 0.9913,152 | 0.29910,375 | 0.1173,299 | 0.3152,380 | | 10,000,0.5 | 115,379 | 0.99310,390 | 0.35237,892 | 0.30211,431 | 0.3297,952 | | 1,000,0.9 | 11,173 | 13,364 | 12,929 | 0.0641,373 | 0.798785 | | 3,000,0.9 | 14,249 | 14,300 | 13,467 | 0.1143,277 | 0.8032,379 | | 10,000,0.9 | 114,585 | 117,472 | 113,106 | 0.30411,326 | 0.7997,843 |
| #cls.,p | Polish0.07<br>acc.#cls. | Polish0.15<br>acc.#cls. | Polish0.3<br>acc.#cls. | Metis<br>acc.#cls. | DBscan<br>acc.#cls. | | --- | --- | --- | --- | --- | --- | | 1,000,0.3 | 0.8192,162 | 0.6581,438 | 0.1983,789 | 0.0551,166 | 0.273131 | | 3,000,0.3 | 0.46023,929 | 0.4544,108 | 0.1534,441 | 0.1082,787 | 0.215692 | | 10,000,0.3 | 0.54324,965 | 0.4831,4053 | 0.1571,6940 | 0.5119,587 | 0.2272111 | | 1,000,0.5 | 0.9942,666 | 0.9161,128 | 0.4731,973 | 0.0681,166 | 0.329193 | | 3,000,0.5 | 0.9955,925 | 0.8153,853 | 0.2825,904 | 0.1132,787 | 0.230690 | | 10,000,0.5 | 0.99713,653 | 0.83212,449 | 0.30420,301 | 0.5329,587 | 0.2472,201 | | 1,000,0.9 | 12453 | 0.9975,761 | 0.8664,830 | 0.0671,156 | 0.363218 | | 3,000,0.9 | 114,784 | 0.98910,756 | 0.7689,262 | 0.1102,775 | 0.207592 | | 10,000,0.9 | 1254,357 | 0.99132,705 | 0.7823,2676 | 0.4709,543 | 0.2302,062 | | 1,000,1.0 | 11803 | 0.9971,939 | 0.9261,705 | 0.081754 | 0.371205 | | 3,000,1.0 | 15703 | 0.9858,018 | 0.8085,735 | 0.1341,986 | 0.237523 | | 10,000,1.0 | 112,343 | 0.98819,293 | 0.82618,565 | 0.6816,739 | 0.2601,838 |
0
| #cls.,p | Polish0.07<br>acc.#cls. | Polish0.15<br>acc.#cls. | Polish0.3<br>acc.#cls. | Metis<br>acc.#cls. | DBscan<br>acc.#cls. | | --- | --- | --- | --- | --- | --- | | 1,000,0.3 | 0.9931,601 | 0.7981,552 | 0.2294,891 | 0.0721,396 | 0.256710 | | 3,000,0.3 | 0.9913,217 | 0.4845,075 | 0.1461,631 | 0.1193,299 | 0.1902,404 | | 10,000,0.3 | 0.99311,088 | 0.57415,970 | 0.15310,169 | 0.30511,431 | 0.2037,868 | | 1,000,0.5 | 0.9991,155 | 0.9981,026 | 0.6192,772 | 0.0651,396 | 0.381732 | | 3,000,0.5 | 14,273 | 0.9913,152 | 0.29910,375 | 0.1173,299 | 0.3152,380 | | 10,000,0.5 | 115,379 | 0.99310,390 | 0.35237,892 | 0.30211,431 | 0.3297,952 |
| 1,000,0.9 | 11,173 | 13,364 | 12,929 | 0.0641,373 | 0.798785 | | --- | --- | --- | --- | --- | --- | | 3,000,0.9 | 14,249 | 14,300 | 13,467 | 0.1143,277 | 0.8032,379 | | 10,000,0.9 | 114,585 | 117,472 | 113,106 | 0.30411,326 | 0.7997,843 | | 1,000,1.0 | 1999 | 1999 | 1999 | 0.0921,000 | 11,000 | | 3,000,1.0 | 12,999 | 12,999 | 12,999 | 0.1543,000 | 13,000 | | 10,000,1.0 | 19,999 | 19,999 | 19,999 | 0.63410,000 | 110,000 |
1
| #cls.,p | Polish0.07<br>acc.#cls. | Polish0.15<br>acc.#cls. | Polish0.3<br>acc.#cls. | Metis<br>acc.#cls. | DBscan<br>acc.#cls. | | --- | --- | --- | --- | --- | --- | | 1,000,0.3 | 0.9931,601 | 0.7981,552 | 0.2294,891 | 0.0721,396 | 0.256710 | | 3,000,0.3 | 0.9913,217 | 0.4845,075 | 0.1461,631 | 0.1193,299 | 0.1902,404 | | 10,000,0.3 | 0.99311,088 | 0.57415,970 | 0.15310,169 | 0.30511,431 | 0.2037,868 | | 1,000,0.5 | 0.9991,155 | 0.9981,026 | 0.6192,772 | 0.0651,396 | 0.381732 | | 3,000,0.5 | 14,273 | 0.9913,152 | 0.29910,375 | 0.1173,299 | 0.3152,380 | | 10,000,0.5 | 115,379 | 0.99310,390 | 0.35237,892 | 0.30211,431 | 0.3297,952 |
| 10,000,0.3 | 0.54324,965 | 0.4831,4053 | 0.1571,6940 | 0.5119,587 | 0.2272111 | | --- | --- | --- | --- | --- | --- | | 1,000,0.5 | 0.9942,666 | 0.9161,128 | 0.4731,973 | 0.0681,166 | 0.329193 | | 3,000,0.5 | 0.9955,925 | 0.8153,853 | 0.2825,904 | 0.1132,787 | 0.230690 | | 10,000,0.5 | 0.99713,653 | 0.83212,449 | 0.30420,301 | 0.5329,587 | 0.2472,201 | | 1,000,0.9 | 12453 | 0.9975,761 | 0.8664,830 | 0.0671,156 | 0.363218 | | 3,000,0.9 | 114,784 | 0.98910,756 | 0.7689,262 | 0.1102,775 | 0.207592 | | 10,000,0.9 | 1254,357 | 0.99132,705 | 0.7823,2676 | 0.4709,543 | 0.2302,062 | | 1,000,1.0 | 11803 | 0.9971,939 | 0.9261,705 | 0.081754 | 0.371205 | | 3,000,1.0 | 15703 | 0.9858,018 | 0.8085,735 | 0.1341,986 | 0.237523 | | 10,000,1.0 | 112,343 | 0.98819,293 | 0.82618,565 | 0.6816,739 | 0.2601,838 |
0