Datasets:
BioMike
/
table-continuation-dataset

Dataset card Data Studio Files
xet
Community
premise
string
hypothesis
string
label
int64
| Structure | CS | | --- | --- | | 1LSTMlayer | 71.8 | | 2LSTMlayers | 75.2 | | 3LSTMlayers | 76.0 | | 4LSTMlayers | 76.0 | | 5LSTMlayers | 76.7 | | 6LSTMlayers | 76.7 |
| 5LSTMlayers | 79.4 | | --- | --- | | ResNet-18 | 86.1 | | ResNet-50 | 87.5 | | ResNet-101 | 87.3 | | ResNet-152 | 87.2 | | ResNet-50+8layers | 88.2 |
1
| Structure | CS | | --- | --- | | 1LSTMlayer | 71.8 | | 2LSTMlayers | 75.2 | | 3LSTMlayers | 76.0 | | 4LSTMlayers | 76.0 | | 5LSTMlayers | 76.7 | | 6LSTMlayers | 76.7 |
| Numberoflayers | 512width | 1024width | | --- | --- | --- | | 3 | 48.5 | 38.1 | | 4 | 38.3 | 34.6 | | 5 | 36.2 | 31.9 | | 6 | 34.5 | 30.3 | | 7 | 32.5 | 30.6 | | 8 | 31.0 | 31.3 | | 9 | 31.4 | 29.4 | | 10 | 31.5 | 29.4 |
0
| Structure | CS | | --- | --- | | 1LSTMlayer | 71.8 | | 2LSTMlayers | 75.2 | | 3LSTMlayers | 76.0 | | 4LSTMlayers | 76.0 | | 5LSTMlayers | 76.7 | | 6LSTMlayers | 76.7 | | 5LSTMlayers | 79.4 | | ResNet-18 | 86.1 | | ResNet-50 | 87.5 | | ResNet-101 | 87.3 |
| ResNet-152 | 87.2 | | --- | --- | | ResNet-50+8layers | 88.2 |
1
| Structure | CS | | --- | --- | | 1LSTMlayer | 71.8 | | 2LSTMlayers | 75.2 | | 3LSTMlayers | 76.0 | | 4LSTMlayers | 76.0 | | 5LSTMlayers | 76.7 | | 6LSTMlayers | 76.7 | | 5LSTMlayers | 79.4 | | ResNet-18 | 86.1 | | ResNet-50 | 87.5 | | ResNet-101 | 87.3 |
| 7 | 32.5 | 30.6 | | --- | --- | --- | | 8 | 31.0 | 31.3 | | 9 | 31.4 | 29.4 | | 10 | 31.5 | 29.4 |
0
| Class | Ours | Others | Difference | | --- | --- | --- | --- | | Social<br>Cartoon<br>Affective | .6607<br>.6586<br>.6646 | .5764<br>.5918<br>.6018 | .0843<br>.0668<br>.0628 | | Other14categories | - | - | - |
| Fractal<br>LowResolution<br>Pattern | .5820<br>.5663<br>.5638 | .5518<br>.5418<br>.5509 | .0302<br>.0245<br>.0129 | | --- | --- | --- | --- | | Overall | .6221 | .5755 | .0466 |
1
| Class | Ours | Others | Difference | | --- | --- | --- | --- | | Social<br>Cartoon<br>Affective | .6607<br>.6586<br>.6646 | .5764<br>.5918<br>.6018 | .0843<br>.0668<br>.0628 | | Other14categories | - | - | - |
| | Gradual | Sharp | | | | | | | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P | | 1004ABCa | 203 | 177 | 9 | 26 | 0.952 | 0.872 | 0.91 | 224 | 209 | 18 | 15 | 0.921 | | 1012CNNa | 170 | 149 | 23 | 21 | 0.866 | 0.876 | 0.871 | 215 | 191 | 13 | 24 | 0.936 | | 1016CNNa | 150 | 122 | 13 | 28 | 0.904 | 0.813 | 0.856 | 242 | 211 | 12 | 31 | 0.946 | | 1021ABCa | 175 | 154 | 22 | 21 | 0.875 | 0.88 | 0.877 | 240 | 227 | 14 | 13 | 0.942 | | 1101CNNa | 204 | 187 | 13 | 17 | 0.935 | 0.917 | 0.926 | 191 | 180 | 12 | 11 | 0.938 | | 1109ABCa | 170 | 159 | 12 | 11 | 0.93 | 0.935 | 0.933 | 257 | 241 | 11 | 16 | 0.956 | | 1123CNNa | 126 | 99 | 32 | 27 | 0.756 | 0.786 | 0.77 | 236 | 206 | 8 | 30 | 0.963 | | 1126ABCa | 189 | 179 | 16 | 10 | 0.918 | 0.947 | 0.932 | 273 | 260 | 14 | 13 | 0.949 | | 1208CNNa | 137 | 117 | 22 | 20 | 0.842 | 0.854 | 0.848 | 212 | 192 | 17 | 20 | 0.919 | | 1210ABCa | 159 | 148 | 21 | 11 | 0.876 | 0.931 | 0.902 | 271 | 251 | 7 | 20 | 0.973 | | 1216CNNa | 153 | 137 | 25 | 16 | 0.846 | 0.895 | 0.87 | 197 | 184 | 21 | 13 | 0.898 | | 1221ABCa | 195 | 168 | 18 | 27 | 0.903 | 0.862 | 0.882 | 217 | 195 | 13 | 22 | 0.938 | | Total | 2031 | 1796 | 226 | 235 | 0.888 | 0.884 | 0.886 | 2775 | 2547 | 160 | 228 | 0.941 |
0
| Class | Ours | Others | Difference | | --- | --- | --- | --- | | Social<br>Cartoon<br>Affective | .6607<br>.6586<br>.6646 | .5764<br>.5918<br>.6018 | .0843<br>.0668<br>.0628 | | Other14categories | - | - | - |
| Fractal<br>LowResolution<br>Pattern | .5820<br>.5663<br>.5638 | .5518<br>.5418<br>.5509 | .0302<br>.0245<br>.0129 | | --- | --- | --- | --- | | Overall | .6221 | .5755 | .0466 |
1
| Class | Ours | Others | Difference | | --- | --- | --- | --- | | Social<br>Cartoon<br>Affective | .6607<br>.6586<br>.6646 | .5764<br>.5918<br>.6018 | .0843<br>.0668<br>.0628 | | Other14categories | - | - | - |
| 1101CNNa | 204 | 187 | 13 | 17 | 0.935 | 0.917 | 0.926 | 191 | 180 | 12 | 11 | 0.938 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1109ABCa | 170 | 159 | 12 | 11 | 0.93 | 0.935 | 0.933 | 257 | 241 | 11 | 16 | 0.956 | | 1123CNNa | 126 | 99 | 32 | 27 | 0.756 | 0.786 | 0.77 | 236 | 206 | 8 | 30 | 0.963 | | 1126ABCa | 189 | 179 | 16 | 10 | 0.918 | 0.947 | 0.932 | 273 | 260 | 14 | 13 | 0.949 | | 1208CNNa | 137 | 117 | 22 | 20 | 0.842 | 0.854 | 0.848 | 212 | 192 | 17 | 20 | 0.919 | | 1210ABCa | 159 | 148 | 21 | 11 | 0.876 | 0.931 | 0.902 | 271 | 251 | 7 | 20 | 0.973 | | 1216CNNa | 153 | 137 | 25 | 16 | 0.846 | 0.895 | 0.87 | 197 | 184 | 21 | 13 | 0.898 | | 1221ABCa | 195 | 168 | 18 | 27 | 0.903 | 0.862 | 0.882 | 217 | 195 | 13 | 22 | 0.938 | | Total | 2031 | 1796 | 226 | 235 | 0.888 | 0.884 | 0.886 | 2775 | 2547 | 160 | 228 | 0.941 |
0
| Method | UCF101-split1 | HMDB51-split1 | | --- | --- | --- | | DrLim | 45.7 | 16.3 |
| TempCoh | 45.4 | 15.9 | | --- | --- | --- | | Obj.Patch | 40.7 | 15.6 | | Seq.Ver. | 50.9 | 19.8 | | Our-Stack-of-Diff. | 60.3 | 32.5 | | Randweights-Stack-of-Diff. | 51.3 | 28.3 | | ImageNetweights-Stack-of-Diff. | 70.1 | 40.8 |
1
| Method | UCF101-split1 | HMDB51-split1 | | --- | --- | --- | | DrLim | 45.7 | 16.3 |
| Method | UCF101 | HMDB | HW2 | | --- | --- | --- | --- | | IDT+FV<br>IDT+HSV<br>IDT+Actionness<br>VideoDarwin<br>RankPool+IDT | 85.9<br>87.9<br>-<br>-<br>91.4 | 57.2<br>61.1<br>60.4<br>63.7<br>66.9 | 64.3<br>-<br>-<br>73.7<br>76.7 | | Two-stream(avg)<br>Two-stream(SVM)<br>Two-streamLSTM<br>LTC<br>TSN(2modalities)<br>TSN(3modalities)<br>Two-streamI3D | 86.9<br>88.0<br>88.6<br>91.7<br>94.0<br>94.2<br>98.0 | 58.0<br>59.4<br>-<br>64.8<br>68.5<br>69.4<br>80.7 | -<br>-<br>-<br>-<br>-<br>-<br>- | | Two-streamfusion<br>ST-ResNet | 92.5<br>93.4 | 65.4<br>66.4 | -<br>- | | Softattention<br>VideoLSTM | -<br>89.2 | 41.3<br>56.4 | -<br>- | | Two-streamFCAN-comp<br>Ensemble(4models) | 92.0<br>93.4 | 66.7<br>68.2 | 71.1<br>78.4 |
0
| Method | UCF101-split1 | HMDB51-split1 | | --- | --- | --- | | DrLim | 45.7 | 16.3 | | TempCoh | 45.4 | 15.9 | | Obj.Patch | 40.7 | 15.6 | | Seq.Ver. | 50.9 | 19.8 |
| Our-Stack-of-Diff. | 60.3 | 32.5 | | --- | --- | --- | | Randweights-Stack-of-Diff. | 51.3 | 28.3 | | ImageNetweights-Stack-of-Diff. | 70.1 | 40.8 |
1
| Method | UCF101-split1 | HMDB51-split1 | | --- | --- | --- | | DrLim | 45.7 | 16.3 | | TempCoh | 45.4 | 15.9 | | Obj.Patch | 40.7 | 15.6 | | Seq.Ver. | 50.9 | 19.8 |
| Two-stream(avg)<br>Two-stream(SVM)<br>Two-streamLSTM<br>LTC<br>TSN(2modalities)<br>TSN(3modalities)<br>Two-streamI3D | 86.9<br>88.0<br>88.6<br>91.7<br>94.0<br>94.2<br>98.0 | 58.0<br>59.4<br>-<br>64.8<br>68.5<br>69.4<br>80.7 | -<br>-<br>-<br>-<br>-<br>-<br>- | | --- | --- | --- | --- | | Two-streamfusion<br>ST-ResNet | 92.5<br>93.4 | 65.4<br>66.4 | -<br>- | | Softattention<br>VideoLSTM | -<br>89.2 | 41.3<br>56.4 | -<br>- | | Two-streamFCAN-comp<br>Ensemble(4models) | 92.0<br>93.4 | 66.7<br>68.2 | 71.1<br>78.4 |
0
| Sequence | RCACF | CA | FCT | VTD | IVT | MIL | Struck | | --- | --- | --- | --- | --- | --- | --- | --- | | Tiger2 | 86.85 | 28.49 | 72 | 13 | 19 | 44 | 62 | | Tiger1 | 100 | 90.14 | 52 | 78 | 8 | 34 | 87 | | Animal | 97.18 | 100 | 92 | 96 | 4 | 87 | 96 | | Jumping | 100 | 100 | 10 | 12 | 71 | 21 | 63 | | Cliffbar | 98.48 | 87.88 | 99 | 53 | 47 | 71 | 8 | | Woman | 22.39 | 17.91 | 11.6 | 14 | 17 | 15 | 67 |
| Surfer | 80.32 | 98.14 | 70 | 64 | 24 | 71 | 61 | | --- | --- | --- | --- | --- | --- | --- | --- | | Sylvester | 88.85 | 99.03 | 77 | 33 | 45 | 77 | 80 | | Cardark | 100 | 100 | 36 | 25 | 54 | 48 | 18 | | Faceocc1 | 100 | 100 | 43.4 | 80 | 74 | 60 | 82 | | Faceocc2 | 100 | 100 | 99 | 70 | 66 | 62 | 70 | | Twinning | 94.68 | 100 | 98 | 54 | 42 | 60 | 77 | | Box | 60.94 | 45.49 | 28.7 | 15 | 30 | 14 | 61 |
1
| Sequence | RCACF | CA | FCT | VTD | IVT | MIL | Struck | | --- | --- | --- | --- | --- | --- | --- | --- | | Tiger2 | 86.85 | 28.49 | 72 | 13 | 19 | 44 | 62 | | Tiger1 | 100 | 90.14 | 52 | 78 | 8 | 34 | 87 | | Animal | 97.18 | 100 | 92 | 96 | 4 | 87 | 96 | | Jumping | 100 | 100 | 10 | 12 | 71 | 21 | 63 | | Cliffbar | 98.48 | 87.88 | 99 | 53 | 47 | 71 | 8 | | Woman | 22.39 | 17.91 | 11.6 | 14 | 17 | 15 | 67 |
| Network | n | k | SLPA | std | r | Copra | std | v | LFM | Cfinder | k | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | karate | 34 | 4.5 | 0.65 | 0.21 | 0.33 | 0.44 | 0.18 | 3 | 0.42 | 0.52 | 3 | | dolphins | 62 | 5.1 | 0.76 | 0.03 | 0.45 | 0.70 | 0.04 | 4 | 0.28 | 0.66 | 3 | | lesmis | 77 | 6.6 | 0.78 | 0.03 | 0.45 | 0.72 | 0.05 | 2 | 0.72 | 0.63 | 4 | | polbooks | 105 | 8.4 | 0.83 | 0.01 | 0.45 | 0.82 | 0.05 | 2 | 0.74 | 0.79 | 3 | | football | 115 | 10.6 | 0.70 | 0.01 | 0.45 | 0.69 | 0.03 | 2 | | 0.64 | 4 | | jazz | 198 | 27.7 | 0.70 | 0.09 | 0.45 | 0.71 | 0.05 | 1 | | 0.55 | 7 | | netscience | 379 | 4.8 | 0.85 | 0.01 | 0.45 | 0.82 | 0.02 | 6 | 0.46 | 0.61 | 3 | | celegans | 453 | 8.9 | 0.31 | 0.22 | 0.35 | 0.21 | 0.14 | 1 | 0.23 | 0.26 | 4 | | email | 1133 | 9.6 | 0.64 | 0.03 | 0.45 | 0.51 | 0.22 | 2 | 0.25 | 0.46 | 3 | | CA-GrQc | 4730 | 5.6 | 0.76 | 0.00 | 0.45 | 0.71 | 0.01 | 1 | 0.45 | 0.51 | 3 | | PGP | 10680 | 4.5 | 0.82 | 0.01 | 0.45 | 0.78 | 0.02 | 9 | 0.44 | 0.57 | 3 |
0
| Sequence | RCACF | CA | FCT | VTD | IVT | MIL | Struck | | --- | --- | --- | --- | --- | --- | --- | --- | | Tiger2 | 86.85 | 28.49 | 72 | 13 | 19 | 44 | 62 | | Tiger1 | 100 | 90.14 | 52 | 78 | 8 | 34 | 87 | | Animal | 97.18 | 100 | 92 | 96 | 4 | 87 | 96 |
| Jumping | 100 | 100 | 10 | 12 | 71 | 21 | 63 | | --- | --- | --- | --- | --- | --- | --- | --- | | Cliffbar | 98.48 | 87.88 | 99 | 53 | 47 | 71 | 8 | | Woman | 22.39 | 17.91 | 11.6 | 14 | 17 | 15 | 67 | | Surfer | 80.32 | 98.14 | 70 | 64 | 24 | 71 | 61 | | Sylvester | 88.85 | 99.03 | 77 | 33 | 45 | 77 | 80 | | Cardark | 100 | 100 | 36 | 25 | 54 | 48 | 18 | | Faceocc1 | 100 | 100 | 43.4 | 80 | 74 | 60 | 82 | | Faceocc2 | 100 | 100 | 99 | 70 | 66 | 62 | 70 | | Twinning | 94.68 | 100 | 98 | 54 | 42 | 60 | 77 | | Box | 60.94 | 45.49 | 28.7 | 15 | 30 | 14 | 61 |
1
| Sequence | RCACF | CA | FCT | VTD | IVT | MIL | Struck | | --- | --- | --- | --- | --- | --- | --- | --- | | Tiger2 | 86.85 | 28.49 | 72 | 13 | 19 | 44 | 62 | | Tiger1 | 100 | 90.14 | 52 | 78 | 8 | 34 | 87 | | Animal | 97.18 | 100 | 92 | 96 | 4 | 87 | 96 |
| email | 1133 | 9.6 | 0.64 | 0.03 | 0.45 | 0.51 | 0.22 | 2 | 0.25 | 0.46 | 3 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | CA-GrQc | 4730 | 5.6 | 0.76 | 0.00 | 0.45 | 0.71 | 0.01 | 1 | 0.45 | 0.51 | 3 | | PGP | 10680 | 4.5 | 0.82 | 0.01 | 0.45 | 0.78 | 0.02 | 9 | 0.44 | 0.57 | 3 |
0
| Sequence | ORB-SLAM2<br>(RGB-D) | Elastic-<br>Fusion | Kintinuous | DVO<br>SLAM | RGBD<br>SLAM | | --- | --- | --- | --- | --- | --- | | fr1/desk | 0.016 | 0.020 | 0.037 | 0.021 | 0.026 | | fr1/desk2 | 0.022 | 0.048 | 0.071 | 0.046 | - | | fr1/room | 0.047 | 0.068 | 0.075 | 0.043 | 0.087 |
| fr2/desk | 0.009 | 0.071 | 0.034 | 0.017 | 0.057 | | --- | --- | --- | --- | --- | --- | | fr2/xyz | 0.004 | 0.011 | 0.029 | 0.018 | - | | fr3/office | 0.010 | 0.017 | 0.030 | 0.035 | - | | fr3/nst | 0.019 | 0.016 | 0.031 | 0.018 | - |
1
| Sequence | ORB-SLAM2<br>(RGB-D) | Elastic-<br>Fusion | Kintinuous | DVO<br>SLAM | RGBD<br>SLAM | | --- | --- | --- | --- | --- | --- | | fr1/desk | 0.016 | 0.020 | 0.037 | 0.021 | 0.026 | | fr1/desk2 | 0.022 | 0.048 | 0.071 | 0.046 | - | | fr1/room | 0.047 | 0.068 | 0.075 | 0.043 | 0.087 |
| Noiselevel | Easy | Hard | Tough | | --- | --- | --- | --- | | SIFT | 0.453 | 0.193 | 0.086 | | TFeat | 0.467 | 0.259 | 0.131 | | DeepCompare | 0.399 | 0.199 | 0.095 | | DeepDesc | 0.430 | 0.239 | 0.125 | | HardNet | 0.658 | 0.479 | 0.303 | | SKAR-EgoSeg | 0.495 | 0.226 | 0.102 | | SKAR-EgoSeg* | 0.507 | 0.251 | 0.123 | | SKAR-HPatches | 0.677 | 0.494 | 0.313 | | SKAR-HPatches* | 0.695 | 0.525 | 0.342 |
0
| Sequence | ORB-SLAM2<br>(RGB-D) | Elastic-<br>Fusion | Kintinuous | DVO<br>SLAM | RGBD<br>SLAM | | --- | --- | --- | --- | --- | --- | | fr1/desk | 0.016 | 0.020 | 0.037 | 0.021 | 0.026 |
| fr1/desk2 | 0.022 | 0.048 | 0.071 | 0.046 | - | | --- | --- | --- | --- | --- | --- | | fr1/room | 0.047 | 0.068 | 0.075 | 0.043 | 0.087 | | fr2/desk | 0.009 | 0.071 | 0.034 | 0.017 | 0.057 | | fr2/xyz | 0.004 | 0.011 | 0.029 | 0.018 | - | | fr3/office | 0.010 | 0.017 | 0.030 | 0.035 | - | | fr3/nst | 0.019 | 0.016 | 0.031 | 0.018 | - |
1
| Sequence | ORB-SLAM2<br>(RGB-D) | Elastic-<br>Fusion | Kintinuous | DVO<br>SLAM | RGBD<br>SLAM | | --- | --- | --- | --- | --- | --- | | fr1/desk | 0.016 | 0.020 | 0.037 | 0.021 | 0.026 |
| HardNet | 0.658 | 0.479 | 0.303 | | --- | --- | --- | --- | | SKAR-EgoSeg | 0.495 | 0.226 | 0.102 | | SKAR-EgoSeg* | 0.507 | 0.251 | 0.123 | | SKAR-HPatches | 0.677 | 0.494 | 0.313 | | SKAR-HPatches* | 0.695 | 0.525 | 0.342 |
0
| Instance | | d/wdeg | d/wdeg<br>r.probe | d/wdeg<br>RSC | d/wdeg<br>r.probe<br>RSC | Impact | Node<br>Impact | Impact<br>RSC | alldel | alldel<br>r.probe | alldel<br>RSC | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | s2-f25<br>(unsat) | t<br>n | 7,4<br>1195 | 29,2<br>16317 | 14,2<br>2651 | 23,6<br>14548 | 14,2<br>2088 | 19,5<br>2091 | 19,5<br>2091 | 9,3<br>1689 | 28,5<br>16231 | 9,8<br>1579 | | s3-f10<br>(sat) | t<br>n | 2,2<br>724 | 36,5<br>18119 | 10,2<br>728 | 33,7<br>17781 | >1h<br>– | >1h<br>– | >1h<br>– | 2,3<br>900 | 38,7<br>18312 | 5,5<br>941 | | s3-f11<br>(unsat) | t<br>n | 9,6<br>1078 | 41,4<br>18728 | 9,9<br>861 | 36,2<br>17211 | >1h<br>– | >1h<br>– | >1h<br>– | 5,3<br>641 | 47,5<br>18862 | 10,4<br>889 | | g8-f10<br>(sat) | t<br>n | 15<br>4193 | 72,5<br>26535 | 45,2<br>6018 | 62,4<br>22739 | >1h<br>– | >1h<br>– | >1h<br>– | 21,3<br>6877 | 76,5<br>27781 | 14,4<br>3887 | | g8-f11<br>(unsat) | t<br>n | 7<br>1450 | 62,7<br>24244 | 10,5<br>940 | 54,2<br>23348 | >1h<br>– | >1h<br>– | >1h<br>– | 1,6<br>224 | 60,3<br>23878 | 1,7<br>455 | | g14-f27<br>(sat) | t<br>n | 18,8<br>12251 | 48,4<br>28337 | 82,5<br>13106 | 49,1<br>27785 | 53,9<br>6284 | 216,7<br>6284 | 217,1<br>6284 | 28,8<br>18143 | 48,3<br>28019 | 70,1<br>40211 | | g14-f28<br>(unsat) | t<br>n | 75,3<br>33556 | 43,3<br>22303 | 18,2<br>1459 | 37,2<br>19544 | >1h<br>– | >1h<br>– | >1h<br>– | 0,4<br>99 | 60,5<br>29928 | 57,3<br>30239 | | s11<br>(sat) | t<br>n | 5,5<br>1024 | 118,1<br>35097 | 141,2<br>959 | 157,5<br>29391 | 29,3<br>834 | 210,6<br>833 | 224,8<br>833 | 4<br>947 | 120,5<br>35788 | 56,2<br>1540 | | s11-f12<br>(unsat) | t<br>n | 6,6<br>1102 | 56,2<br>24158 | 4,8<br>981 | 51,5<br>22893 | 22,4<br>421 | 25,7<br>421 | 25,8<br>421 | 3,7<br>566 | 54,1<br>23661 | 3,9<br>989 | | s11-f11<br>(unsat) | t<br>n | 6,8<br>1102 | 55,6<br>23555 | 4,7<br>981 | 51,1<br>22751 | 22,1<br>421 | 25,7<br>421 | 25,8<br>421 | 3,7<br>522 | 53,4<br>23101 | 3,8<br>989 | | s11-f10<br>(unsat) | t<br>n | 3,5<br>490 | 56,7<br>23131 | 4,8<br>498 | 52,4<br>22891 | >1h<br>– | >1h<br>– | >1h<br>– | 4,5<br>556 | 58,2<br>23664 | 3,3<br>376 | | s11-f9<br>(unsat) | t<br>n | 14,3<br>1412 | 71,7<br>24261 | 18,1<br>1384 | 65,6<br>23441 | >1h<br>– | >1h<br>– | >1h<br>– | 16,4<br>1906 | 72,4<br>24547 | 18,9<br>1753 | | s11-f8<br>(unsat) | t<br>n | 21,2<br>2112 | 87,1<br>28083 | 44,7<br>2897 | 79,6<br>24892 | >1h<br>– | >1h<br>– | >1h<br>– | 26,3<br>2526 | 89,1<br>27867 | 40,1<br>3192 | | s11-f7<br>(unsat) | t<br>n | 133,7<br>12777 | 189,9<br>39469 | 211,2<br>20154 | 201,6<br>42345 | >1h<br>– | >1h<br>– | >1h<br>– | 130,6<br>13205 | 191,4<br>39557 | 166,8<br>14886 |
| s11-f6<br>(unsat) | t<br>n | 391,4<br>34714 | 402,9<br>61523 | 412,7<br>40892 | 416,8<br>62557 | >1h<br>– | >1h<br>– | >1h<br>– | 307,6<br>27949 | 488,4<br>63447 | 465,2<br>37954 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | Averagedcputime | t | 47,9 | 91,5 | 68,8 | 91,5 | – | – | – | 37,7 | 99,1 | 61,8 |
1
| Instance | | d/wdeg | d/wdeg<br>r.probe | d/wdeg<br>RSC | d/wdeg<br>r.probe<br>RSC | Impact | Node<br>Impact | Impact<br>RSC | alldel | alldel<br>r.probe | alldel<br>RSC | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | s2-f25<br>(unsat) | t<br>n | 7,4<br>1195 | 29,2<br>16317 | 14,2<br>2651 | 23,6<br>14548 | 14,2<br>2088 | 19,5<br>2091 | 19,5<br>2091 | 9,3<br>1689 | 28,5<br>16231 | 9,8<br>1579 | | s3-f10<br>(sat) | t<br>n | 2,2<br>724 | 36,5<br>18119 | 10,2<br>728 | 33,7<br>17781 | >1h<br>– | >1h<br>– | >1h<br>– | 2,3<br>900 | 38,7<br>18312 | 5,5<br>941 | | s3-f11<br>(unsat) | t<br>n | 9,6<br>1078 | 41,4<br>18728 | 9,9<br>861 | 36,2<br>17211 | >1h<br>– | >1h<br>– | >1h<br>– | 5,3<br>641 | 47,5<br>18862 | 10,4<br>889 | | g8-f10<br>(sat) | t<br>n | 15<br>4193 | 72,5<br>26535 | 45,2<br>6018 | 62,4<br>22739 | >1h<br>– | >1h<br>– | >1h<br>– | 21,3<br>6877 | 76,5<br>27781 | 14,4<br>3887 | | g8-f11<br>(unsat) | t<br>n | 7<br>1450 | 62,7<br>24244 | 10,5<br>940 | 54,2<br>23348 | >1h<br>– | >1h<br>– | >1h<br>– | 1,6<br>224 | 60,3<br>23878 | 1,7<br>455 | | g14-f27<br>(sat) | t<br>n | 18,8<br>12251 | 48,4<br>28337 | 82,5<br>13106 | 49,1<br>27785 | 53,9<br>6284 | 216,7<br>6284 | 217,1<br>6284 | 28,8<br>18143 | 48,3<br>28019 | 70,1<br>40211 | | g14-f28<br>(unsat) | t<br>n | 75,3<br>33556 | 43,3<br>22303 | 18,2<br>1459 | 37,2<br>19544 | >1h<br>– | >1h<br>– | >1h<br>– | 0,4<br>99 | 60,5<br>29928 | 57,3<br>30239 | | s11<br>(sat) | t<br>n | 5,5<br>1024 | 118,1<br>35097 | 141,2<br>959 | 157,5<br>29391 | 29,3<br>834 | 210,6<br>833 | 224,8<br>833 | 4<br>947 | 120,5<br>35788 | 56,2<br>1540 | | s11-f12<br>(unsat) | t<br>n | 6,6<br>1102 | 56,2<br>24158 | 4,8<br>981 | 51,5<br>22893 | 22,4<br>421 | 25,7<br>421 | 25,8<br>421 | 3,7<br>566 | 54,1<br>23661 | 3,9<br>989 | | s11-f11<br>(unsat) | t<br>n | 6,8<br>1102 | 55,6<br>23555 | 4,7<br>981 | 51,1<br>22751 | 22,1<br>421 | 25,7<br>421 | 25,8<br>421 | 3,7<br>522 | 53,4<br>23101 | 3,8<br>989 | | s11-f10<br>(unsat) | t<br>n | 3,5<br>490 | 56,7<br>23131 | 4,8<br>498 | 52,4<br>22891 | >1h<br>– | >1h<br>– | >1h<br>– | 4,5<br>556 | 58,2<br>23664 | 3,3<br>376 | | s11-f9<br>(unsat) | t<br>n | 14,3<br>1412 | 71,7<br>24261 | 18,1<br>1384 | 65,6<br>23441 | >1h<br>– | >1h<br>– | >1h<br>– | 16,4<br>1906 | 72,4<br>24547 | 18,9<br>1753 | | s11-f8<br>(unsat) | t<br>n | 21,2<br>2112 | 87,1<br>28083 | 44,7<br>2897 | 79,6<br>24892 | >1h<br>– | >1h<br>– | >1h<br>– | 26,3<br>2526 | 89,1<br>27867 | 40,1<br>3192 | | s11-f7<br>(unsat) | t<br>n | 133,7<br>12777 | 189,9<br>39469 | 211,2<br>20154 | 201,6<br>42345 | >1h<br>– | >1h<br>– | >1h<br>– | 130,6<br>13205 | 191,4<br>39557 | 166,8<br>14886 |
| Instance | | d/wdeg | d/wdeg<br>r.probe | d/wdeg<br>RSC | Impact | Node<br>Impact | Impact<br>RSC | alldel<br>by#del | fully<br>assigned | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | ehi-85-0<br>(unsat) | t<br>n | 2,1<br>722 | 94,2(0,15)<br>8005(4) | 2,7<br>61 | 11,7<br>3 | 12,1<br>3 | 12<br>3 | 0,15<br>4 | 1,2<br>149 | | ehi-85-2<br>(unsat) | t<br>n | 1<br>248 | 101,6(0,15)<br>7944(5) | 2,4<br>12 | 11,8<br>4 | 12,4<br>4 | 12,4<br>4 | 5,6<br>650 | 1,1<br>145 | | geo50-d4-<br>75-2(sat) | t<br>n | 334,9<br>50483 | 526(490,6)<br>88615(76247) | 311,3<br>46772 | >1h<br>– | >1h<br>– | >1h<br>– | 280<br>42946 | 129,2<br>18545 | | frb30-15-1<br>(sat) | t<br>n | 10,5<br>3557 | 42(15,4)<br>15833(4426) | 13,2<br>3275 | 66,4<br>17866 | 295,6<br>71052 | 375,6<br>85017 | 20,5<br>6044 | 15,6<br>4493 | | frb30-15-2<br>(sat) | t<br>n | 63,7<br>21330 | 123,6(97,8)<br>38765(27458) | 55,4<br>20019 | 273,4<br>79936 | 5,4<br>1306 | 391,3<br>81911 | 86,8<br>26596 | 91,2<br>26296 | | 40-8-753-<br>0,1(sat) | t<br>n | 76,5<br>21164 | 70,9(45,9)<br>21369(13422) | 60,4<br>15239 | 2117<br>523831 | 404,5<br>67979 | 931,3<br>180281 | 50,5<br>13823 | 486,3<br>127686 | | 40-11-414-<br>0,2(unsat) | t<br>n | 1192<br>336691 | 1261(1234)<br>354778(345212) | 1219<br>345886 | >1h<br>– | >1h<br>– | >1h<br>– | 1178<br>346368 | 1162<br>332844 | | 40-16-250-<br>0,35(unsat) | t<br>n | 2919<br>741883 | 2928(2895)<br>755386(743183) | 3172<br>750910 | >1h<br>– | >1h<br>– | >1h<br>– | 2893<br>747757 | 3038<br>764989 | | 40-25-180-<br>0,5(unsat) | t<br>n | 2481<br>373742 | 2689(2632)<br>402266(385072) | 2878<br>390292 | >1h<br>– | >1h<br>– | >1h<br>– | 2340<br>349685 | 2606<br>389603 | | Averagedcputime | t | 786,7 | 870,7 | 857,1 | – | – | – | 761,6 | 836,7 |
0
| Instance | | d/wdeg | d/wdeg<br>r.probe | d/wdeg<br>RSC | d/wdeg<br>r.probe<br>RSC | Impact | Node<br>Impact | Impact<br>RSC | alldel | alldel<br>r.probe | alldel<br>RSC | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | s2-f25<br>(unsat) | t<br>n | 7,4<br>1195 | 29,2<br>16317 | 14,2<br>2651 | 23,6<br>14548 | 14,2<br>2088 | 19,5<br>2091 | 19,5<br>2091 | 9,3<br>1689 | 28,5<br>16231 | 9,8<br>1579 | | s3-f10<br>(sat) | t<br>n | 2,2<br>724 | 36,5<br>18119 | 10,2<br>728 | 33,7<br>17781 | >1h<br>– | >1h<br>– | >1h<br>– | 2,3<br>900 | 38,7<br>18312 | 5,5<br>941 |
| s3-f11<br>(unsat) | t<br>n | 9,6<br>1078 | 41,4<br>18728 | 9,9<br>861 | 36,2<br>17211 | >1h<br>– | >1h<br>– | >1h<br>– | 5,3<br>641 | 47,5<br>18862 | 10,4<br>889 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | g8-f10<br>(sat) | t<br>n | 15<br>4193 | 72,5<br>26535 | 45,2<br>6018 | 62,4<br>22739 | >1h<br>– | >1h<br>– | >1h<br>– | 21,3<br>6877 | 76,5<br>27781 | 14,4<br>3887 | | g8-f11<br>(unsat) | t<br>n | 7<br>1450 | 62,7<br>24244 | 10,5<br>940 | 54,2<br>23348 | >1h<br>– | >1h<br>– | >1h<br>– | 1,6<br>224 | 60,3<br>23878 | 1,7<br>455 | | g14-f27<br>(sat) | t<br>n | 18,8<br>12251 | 48,4<br>28337 | 82,5<br>13106 | 49,1<br>27785 | 53,9<br>6284 | 216,7<br>6284 | 217,1<br>6284 | 28,8<br>18143 | 48,3<br>28019 | 70,1<br>40211 | | g14-f28<br>(unsat) | t<br>n | 75,3<br>33556 | 43,3<br>22303 | 18,2<br>1459 | 37,2<br>19544 | >1h<br>– | >1h<br>– | >1h<br>– | 0,4<br>99 | 60,5<br>29928 | 57,3<br>30239 | | s11<br>(sat) | t<br>n | 5,5<br>1024 | 118,1<br>35097 | 141,2<br>959 | 157,5<br>29391 | 29,3<br>834 | 210,6<br>833 | 224,8<br>833 | 4<br>947 | 120,5<br>35788 | 56,2<br>1540 | | s11-f12<br>(unsat) | t<br>n | 6,6<br>1102 | 56,2<br>24158 | 4,8<br>981 | 51,5<br>22893 | 22,4<br>421 | 25,7<br>421 | 25,8<br>421 | 3,7<br>566 | 54,1<br>23661 | 3,9<br>989 | | s11-f11<br>(unsat) | t<br>n | 6,8<br>1102 | 55,6<br>23555 | 4,7<br>981 | 51,1<br>22751 | 22,1<br>421 | 25,7<br>421 | 25,8<br>421 | 3,7<br>522 | 53,4<br>23101 | 3,8<br>989 | | s11-f10<br>(unsat) | t<br>n | 3,5<br>490 | 56,7<br>23131 | 4,8<br>498 | 52,4<br>22891 | >1h<br>– | >1h<br>– | >1h<br>– | 4,5<br>556 | 58,2<br>23664 | 3,3<br>376 | | s11-f9<br>(unsat) | t<br>n | 14,3<br>1412 | 71,7<br>24261 | 18,1<br>1384 | 65,6<br>23441 | >1h<br>– | >1h<br>– | >1h<br>– | 16,4<br>1906 | 72,4<br>24547 | 18,9<br>1753 | | s11-f8<br>(unsat) | t<br>n | 21,2<br>2112 | 87,1<br>28083 | 44,7<br>2897 | 79,6<br>24892 | >1h<br>– | >1h<br>– | >1h<br>– | 26,3<br>2526 | 89,1<br>27867 | 40,1<br>3192 | | s11-f7<br>(unsat) | t<br>n | 133,7<br>12777 | 189,9<br>39469 | 211,2<br>20154 | 201,6<br>42345 | >1h<br>– | >1h<br>– | >1h<br>– | 130,6<br>13205 | 191,4<br>39557 | 166,8<br>14886 | | s11-f6<br>(unsat) | t<br>n | 391,4<br>34714 | 402,9<br>61523 | 412,7<br>40892 | 416,8<br>62557 | >1h<br>– | >1h<br>– | >1h<br>– | 307,6<br>27949 | 488,4<br>63447 | 465,2<br>37954 | | Averagedcputime | t | 47,9 | 91,5 | 68,8 | 91,5 | – | – | – | 37,7 | 99,1 | 61,8 |
1
| Instance | | d/wdeg | d/wdeg<br>r.probe | d/wdeg<br>RSC | d/wdeg<br>r.probe<br>RSC | Impact | Node<br>Impact | Impact<br>RSC | alldel | alldel<br>r.probe | alldel<br>RSC | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | s2-f25<br>(unsat) | t<br>n | 7,4<br>1195 | 29,2<br>16317 | 14,2<br>2651 | 23,6<br>14548 | 14,2<br>2088 | 19,5<br>2091 | 19,5<br>2091 | 9,3<br>1689 | 28,5<br>16231 | 9,8<br>1579 | | s3-f10<br>(sat) | t<br>n | 2,2<br>724 | 36,5<br>18119 | 10,2<br>728 | 33,7<br>17781 | >1h<br>– | >1h<br>– | >1h<br>– | 2,3<br>900 | 38,7<br>18312 | 5,5<br>941 |
| frb30-15-2<br>(sat) | t<br>n | 63,7<br>21330 | 123,6(97,8)<br>38765(27458) | 55,4<br>20019 | 273,4<br>79936 | 5,4<br>1306 | 391,3<br>81911 | 86,8<br>26596 | 91,2<br>26296 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 40-8-753-<br>0,1(sat) | t<br>n | 76,5<br>21164 | 70,9(45,9)<br>21369(13422) | 60,4<br>15239 | 2117<br>523831 | 404,5<br>67979 | 931,3<br>180281 | 50,5<br>13823 | 486,3<br>127686 | | 40-11-414-<br>0,2(unsat) | t<br>n | 1192<br>336691 | 1261(1234)<br>354778(345212) | 1219<br>345886 | >1h<br>– | >1h<br>– | >1h<br>– | 1178<br>346368 | 1162<br>332844 | | 40-16-250-<br>0,35(unsat) | t<br>n | 2919<br>741883 | 2928(2895)<br>755386(743183) | 3172<br>750910 | >1h<br>– | >1h<br>– | >1h<br>– | 2893<br>747757 | 3038<br>764989 | | 40-25-180-<br>0,5(unsat) | t<br>n | 2481<br>373742 | 2689(2632)<br>402266(385072) | 2878<br>390292 | >1h<br>– | >1h<br>– | >1h<br>– | 2340<br>349685 | 2606<br>389603 | | Averagedcputime | t | 786,7 | 870,7 | 857,1 | – | – | – | 761,6 | 836,7 |
0
| NodesUsed | 1 | 1-2 | 1-3 | 1-4 | 1-5 | 1-6 | | --- | --- | --- | --- | --- | --- | --- | | SizeofDataset(GB) | 10 | 20 | 30 | 40 | 50 | 60 | | Locations | 1 | 2 | 3 | | | | | HadoopTerasort | 2312 | 2401 | 2623 | 3228 | 3358 | 3532 | | SphereTerasort | 905 | 980 | 1106 | 1260 | 1401 | 1450 | | HadoopTerasplit | 460 | 623 | 860 | 1038 | 1272 | 1501 | | SphereTerasplit | 110 | 320 | 422 | 571 | 701 | 923 | | TotalHadoop | 2772 | 3024 | 3483 | 4266 | 4657 | 5033 |
| TotalSphere | 1015 | 1300 | 1528 | 1831 | 2102 | 2373 | | --- | --- | --- | --- | --- | --- | --- | | SpeedupTerasort | 2.6 | 2.5 | 2.4 | 2.6 | 2.4 | 2.4 | | SpeedupTerasplit | 4.2 | 1.9 | 2.0 | 1.8 | 1.8 | 1.6 | | Speeduptotal | 2.7 | 2.3 | 2.3 | 2.3 | 2.2 | 2.1 |
1
| NodesUsed | 1 | 1-2 | 1-3 | 1-4 | 1-5 | 1-6 | | --- | --- | --- | --- | --- | --- | --- | | SizeofDataset(GB) | 10 | 20 | 30 | 40 | 50 | 60 | | Locations | 1 | 2 | 3 | | | | | HadoopTerasort | 2312 | 2401 | 2623 | 3228 | 3358 | 3532 | | SphereTerasort | 905 | 980 | 1106 | 1260 | 1401 | 1450 | | HadoopTerasplit | 460 | 623 | 860 | 1038 | 1272 | 1501 | | SphereTerasplit | 110 | 320 | 422 | 571 | 701 | 923 | | TotalHadoop | 2772 | 3024 | 3483 | 4266 | 4657 | 5033 |
| NodesUsed | 1 | 1-2 | 1-3 | 1-4 | 1-5 | 1-6 | 1-7 | | --- | --- | --- | --- | --- | --- | --- | --- | | SizeofDataset(GB) | 10 | 20 | 30 | 40 | 50 | 60 | 70 | | HadoopTerasort | 645 | 766 | 768 | 773 | 815 | 882 | 901 | | SphereTerasort | 408 | 409 | 410 | 429 | 430 | 436 | 440 | | HadoopTerasplit | 141 | 266 | 410 | 544 | 671 | 901 | 1133 | | SphereTerasplit | 96 | 221 | 350 | 462 | 560 | 663 | 754 | | TotalHadoop | 786 | 1032 | 1178 | 1317 | 1486 | 1784 | 2034 | | TotalSphere | 504 | 630 | 760 | 891 | 990 | 1099 | 1194 | | SpeedupTerasort | 1.6 | 1.9 | 1.9 | 1.8 | 1.9 | 2.0 | 2.0 | | SpeedupTerasplit | 1.5 | 1.2 | 1.2 | 1.2 | 1.2 | 1.4 | 1.5 | | Speeduptotal | 1.6 | 1.6 | 1.6 | 1.5 | 1.5 | 1.6 | 1.7 |
0
| NodesUsed | 1 | 1-2 | 1-3 | 1-4 | 1-5 | 1-6 | | --- | --- | --- | --- | --- | --- | --- | | SizeofDataset(GB) | 10 | 20 | 30 | 40 | 50 | 60 | | Locations | 1 | 2 | 3 | | | | | HadoopTerasort | 2312 | 2401 | 2623 | 3228 | 3358 | 3532 | | SphereTerasort | 905 | 980 | 1106 | 1260 | 1401 | 1450 | | HadoopTerasplit | 460 | 623 | 860 | 1038 | 1272 | 1501 | | SphereTerasplit | 110 | 320 | 422 | 571 | 701 | 923 | | TotalHadoop | 2772 | 3024 | 3483 | 4266 | 4657 | 5033 |
| TotalSphere | 1015 | 1300 | 1528 | 1831 | 2102 | 2373 | | --- | --- | --- | --- | --- | --- | --- | | SpeedupTerasort | 2.6 | 2.5 | 2.4 | 2.6 | 2.4 | 2.4 | | SpeedupTerasplit | 4.2 | 1.9 | 2.0 | 1.8 | 1.8 | 1.6 | | Speeduptotal | 2.7 | 2.3 | 2.3 | 2.3 | 2.2 | 2.1 |
1
| NodesUsed | 1 | 1-2 | 1-3 | 1-4 | 1-5 | 1-6 | | --- | --- | --- | --- | --- | --- | --- | | SizeofDataset(GB) | 10 | 20 | 30 | 40 | 50 | 60 | | Locations | 1 | 2 | 3 | | | | | HadoopTerasort | 2312 | 2401 | 2623 | 3228 | 3358 | 3532 | | SphereTerasort | 905 | 980 | 1106 | 1260 | 1401 | 1450 | | HadoopTerasplit | 460 | 623 | 860 | 1038 | 1272 | 1501 | | SphereTerasplit | 110 | 320 | 422 | 571 | 701 | 923 | | TotalHadoop | 2772 | 3024 | 3483 | 4266 | 4657 | 5033 |
| SphereTerasort | 408 | 409 | 410 | 429 | 430 | 436 | 440 | | --- | --- | --- | --- | --- | --- | --- | --- | | HadoopTerasplit | 141 | 266 | 410 | 544 | 671 | 901 | 1133 | | SphereTerasplit | 96 | 221 | 350 | 462 | 560 | 663 | 754 | | TotalHadoop | 786 | 1032 | 1178 | 1317 | 1486 | 1784 | 2034 | | TotalSphere | 504 | 630 | 760 | 891 | 990 | 1099 | 1194 | | SpeedupTerasort | 1.6 | 1.9 | 1.9 | 1.8 | 1.9 | 2.0 | 2.0 | | SpeedupTerasplit | 1.5 | 1.2 | 1.2 | 1.2 | 1.2 | 1.4 | 1.5 | | Speeduptotal | 1.6 | 1.6 | 1.6 | 1.5 | 1.5 | 1.6 | 1.7 |
0
| 0.414 | 0.245 | 0.033 | 0.018 | 0.012 | 0.032 | 0.043 | 0.064 | 0.075 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 0.058 | 0.297 | 0.246 | 0.037 | 0.021 | 0.043 | 0.051 | 0.089 | 0.091 | | 0.031 | 0.053 | 0.298 | 0.227 | 0.049 | 0.042 | 0.042 | 0.049 | 0.132 | | 0.031 | 0.041 | 0.089 | 0.345 | 0.182 | 0.057 | 0.037 | 0.039 | 0.116 | | 0.037 | 0.057 | 0.056 | 0.063 | 0.337 | 0.212 | 0.047 | 0.038 | 0.082 |
| 0.056 | 0.049 | 0.061 | 0.041 | 0.053 | 0.339 | 0.23 | 0.041 | 0.065 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 0.08 | 0.067 | 0.054 | 0.035 | 0.03 | 0.041 | 0.332 | 0.204 | 0.077 | | 0.065 | 0.074 | 0.082 | 0.043 | 0.03 | 0.04 | 0.048 | 0.339 | 0.203 | | 0.05 | 0.044 | 0.066 | 0.065 | 0.048 | 0.033 | 0.048 | 0.044 | 0.488 | | 0.035 | 0.036 | 0.055 | 0.048 | 0.039 | 0.048 | 0.061 | 0.06 | 0.106 |
1
| 0.414 | 0.245 | 0.033 | 0.018 | 0.012 | 0.032 | 0.043 | 0.064 | 0.075 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 0.058 | 0.297 | 0.246 | 0.037 | 0.021 | 0.043 | 0.051 | 0.089 | 0.091 | | 0.031 | 0.053 | 0.298 | 0.227 | 0.049 | 0.042 | 0.042 | 0.049 | 0.132 | | 0.031 | 0.041 | 0.089 | 0.345 | 0.182 | 0.057 | 0.037 | 0.039 | 0.116 | | 0.037 | 0.057 | 0.056 | 0.063 | 0.337 | 0.212 | 0.047 | 0.038 | 0.082 |
| 200 | 400 | 600 | 800 | | --- | --- | --- | --- | | 0.965 | 0.967 | 0.967 | 0.967 | | 0.968 | 0.970 | 0.970 | 0.968 | | 0.968 | 0.968 | 0.967 | 0.968 | | 0.969 | 0.972 | 0.970 | 0.969 | | 0.831 | 0.842 | 0.845 | 0.846 | | 0.846 | 0.851 | 0.852 | 0.853 | | 0.842 | 0.849 | 0.854 | 0.849 | | 0.876 | 0.874 | 0.866 | 0.868 | | 0.658 | 0.650 | 0.654 | 0.655 | | 0.712 | 0.705 | 0.701 | 0.702 | | 0.680 | 0.690 | 0.694 | 0.695 | | 0.715 | 0.709 | 0.714 | 0.715 |
0
| 0.414 | 0.245 | 0.033 | 0.018 | 0.012 | 0.032 | 0.043 | 0.064 | 0.075 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 0.058 | 0.297 | 0.246 | 0.037 | 0.021 | 0.043 | 0.051 | 0.089 | 0.091 | | 0.031 | 0.053 | 0.298 | 0.227 | 0.049 | 0.042 | 0.042 | 0.049 | 0.132 | | 0.031 | 0.041 | 0.089 | 0.345 | 0.182 | 0.057 | 0.037 | 0.039 | 0.116 | | 0.037 | 0.057 | 0.056 | 0.063 | 0.337 | 0.212 | 0.047 | 0.038 | 0.082 | | 0.056 | 0.049 | 0.061 | 0.041 | 0.053 | 0.339 | 0.23 | 0.041 | 0.065 | | 0.08 | 0.067 | 0.054 | 0.035 | 0.03 | 0.041 | 0.332 | 0.204 | 0.077 | | 0.065 | 0.074 | 0.082 | 0.043 | 0.03 | 0.04 | 0.048 | 0.339 | 0.203 |
| 0.05 | 0.044 | 0.066 | 0.065 | 0.048 | 0.033 | 0.048 | 0.044 | 0.488 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 0.035 | 0.036 | 0.055 | 0.048 | 0.039 | 0.048 | 0.061 | 0.06 | 0.106 |
1
| 0.414 | 0.245 | 0.033 | 0.018 | 0.012 | 0.032 | 0.043 | 0.064 | 0.075 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 0.058 | 0.297 | 0.246 | 0.037 | 0.021 | 0.043 | 0.051 | 0.089 | 0.091 | | 0.031 | 0.053 | 0.298 | 0.227 | 0.049 | 0.042 | 0.042 | 0.049 | 0.132 | | 0.031 | 0.041 | 0.089 | 0.345 | 0.182 | 0.057 | 0.037 | 0.039 | 0.116 | | 0.037 | 0.057 | 0.056 | 0.063 | 0.337 | 0.212 | 0.047 | 0.038 | 0.082 | | 0.056 | 0.049 | 0.061 | 0.041 | 0.053 | 0.339 | 0.23 | 0.041 | 0.065 | | 0.08 | 0.067 | 0.054 | 0.035 | 0.03 | 0.041 | 0.332 | 0.204 | 0.077 | | 0.065 | 0.074 | 0.082 | 0.043 | 0.03 | 0.04 | 0.048 | 0.339 | 0.203 |
| 0.846 | 0.851 | 0.852 | 0.853 | | --- | --- | --- | --- | | 0.842 | 0.849 | 0.854 | 0.849 | | 0.876 | 0.874 | 0.866 | 0.868 | | 0.658 | 0.650 | 0.654 | 0.655 | | 0.712 | 0.705 | 0.701 | 0.702 | | 0.680 | 0.690 | 0.694 | 0.695 | | 0.715 | 0.709 | 0.714 | 0.715 |
0
| Totalvocabularysize | 768,298 | | --- | --- | | Mediandocumentlength | 346characters | | Mediannumberofwords | 54 |
| Mediansentencelength | 51characters | | --- | --- | | MedianNbrofwordsinsentence | 8 |
1
| Totalvocabularysize | 768,298 | | --- | --- | | Mediandocumentlength | 346characters | | Mediannumberofwords | 54 |
| Totalnumberofdialogues | 1092 | | --- | --- | | Totalnumberofutterances | 10114 | | Totalnumberofwords | 33477 | | Totalnumberofsemanticunits | 14584 | | Differentclassesofsemanticunits | 38 |
0
| Totalvocabularysize | 768,298 | | --- | --- | | Mediandocumentlength | 346characters |
| Mediannumberofwords | 54 | | --- | --- | | Mediansentencelength | 51characters | | MedianNbrofwordsinsentence | 8 |
1
| Totalvocabularysize | 768,298 | | --- | --- | | Mediandocumentlength | 346characters |
| Totalnumberofsemanticunits | 14584 | | --- | --- | | Differentclassesofsemanticunits | 38 |
0
| SyntheticCrowdCharacteristics | Score | | --- | --- | | 05agents,randompaths | 0.5506 | | 10agents,randompaths | 0.5080 | | 15agents,randompaths | 0.5033 |
| 05agents,tightgoals,nodiversification | 0.5462 | | --- | --- | | 10agents,tightgoals,nodiversification | 0.4970 | | 15agents,tightgoals,nodiversification | 0.5001 | | 05agents,loosegoals,nodiversification | 0.5487 | | 10agents,loosegoals,nodiversification | 0.5120 | | 15agents,loosegoals,nodiversification | 0.4619 | | 05agents,loosegoals,diversification | 0.5372 | | 10agents,loosegoals,diversification | 0.5210 | | 15agents,loosegoals,diversification | 0.4901 |
1
| SyntheticCrowdCharacteristics | Score | | --- | --- | | 05agents,randompaths | 0.5506 | | 10agents,randompaths | 0.5080 | | 15agents,randompaths | 0.5033 |
| SyntheticCrowdCharacteristics | Score | | --- | --- | | 10agents,randompaths | 0.2573 | | 20agents,randompaths | 0.2428 | | 30agents,randompaths | 0.2423 | | 10agents,tightgoals,nodiversification | 0.3774 | | 20agents,tightgoals,nodiversification | 0.2858 | | 30agents,tightgoals,nodiversification | 0.4390 | | 10agents,loosegoals,nodiversification | 0.3508 | | 20agents,loosegoals,nodiversification | 0.3328 | | 30agents,loosegoals,nodiversification | 0.2436 | | 10agents,loosegoals,diversification | 0.3254 | | 20agents,loosegoals,diversification | 0.2949 | | 30agents,loosegoals,diversification | 0.3026 |
0
| SyntheticCrowdCharacteristics | Score | | --- | --- | | 05agents,randompaths | 0.5506 | | 10agents,randompaths | 0.5080 |
| 15agents,randompaths | 0.5033 | | --- | --- | | 05agents,tightgoals,nodiversification | 0.5462 | | 10agents,tightgoals,nodiversification | 0.4970 | | 15agents,tightgoals,nodiversification | 0.5001 | | 05agents,loosegoals,nodiversification | 0.5487 | | 10agents,loosegoals,nodiversification | 0.5120 | | 15agents,loosegoals,nodiversification | 0.4619 | | 05agents,loosegoals,diversification | 0.5372 | | 10agents,loosegoals,diversification | 0.5210 | | 15agents,loosegoals,diversification | 0.4901 |
1
| SyntheticCrowdCharacteristics | Score | | --- | --- | | 05agents,randompaths | 0.5506 | | 10agents,randompaths | 0.5080 |
| 10agents,loosegoals,diversification | 0.3254 | | --- | --- | | 20agents,loosegoals,diversification | 0.2949 | | 30agents,loosegoals,diversification | 0.3026 |
0
| InputData | Value(Min-Max) | | --- | --- | | Workloadtraceduration(t) | (4-4) | | RangeofCPUvaluesforresources | (4-10) |
| RangeofMemoryvaluesforresources | (2-16) | | --- | --- | | RangeofNetworkvaluesforresources | (100-1000) | | RangeofCPUvaluesforutilization | (2-10) | | RangeofMemoryvaluesforutilization | (1-16) | | RangeofNetworkvaluesforutilization | (0-1000) | | RangeofrevenuevaluesforexecutingVMs | (0.1-1.5) | | RangeofSLAvaluesofVMs | (0-2) | | RangeofnumberofVMsforcloudservices | (1-6) | | Numberofcloudservices | (1-1) | | Probabilitydistribution | Random |
1
| InputData | Value(Min-Max) | | --- | --- | | Workloadtraceduration(t) | (4-4) | | RangeofCPUvaluesforresources | (4-10) |
| DeviceSpecifications | ValueUnit | Example | | --- | --- | --- | | accountaddress | string | 0xc968efa8019d(hashvalue) | | networkport | int | 42024 | | input/outputdata | string | video,audio,text | | bandwidthrequest | double | [minValue,maxValue] | | CPUrequest | double | [minValue,maxValue] | | memoryrequest | double | [minValue,maxValue] | | storagerequest | double | [minValue,maxValue] | | MACaddress | string | 00-14-22-01-23-45 | | priority* | int | 1/2/3/4 | | coinbalance* | double | 200.00 | | credit* | int | 100 | | isBlocked* | bool | false | | isRegistered* | bool | false | | lastrequestid* | string | 0xcf30613db6a84(hashvalue) |
0
| InputData | Value(Min-Max) | | --- | --- | | Workloadtraceduration(t) | (4-4) | | RangeofCPUvaluesforresources | (4-10) | | RangeofMemoryvaluesforresources | (2-16) | | RangeofNetworkvaluesforresources | (100-1000) | | RangeofCPUvaluesforutilization | (2-10) | | RangeofMemoryvaluesforutilization | (1-16) | | RangeofNetworkvaluesforutilization | (0-1000) | | RangeofrevenuevaluesforexecutingVMs | (0.1-1.5) | | RangeofSLAvaluesofVMs | (0-2) |
| RangeofnumberofVMsforcloudservices | (1-6) | | --- | --- | | Numberofcloudservices | (1-1) | | Probabilitydistribution | Random |
1
| InputData | Value(Min-Max) | | --- | --- | | Workloadtraceduration(t) | (4-4) | | RangeofCPUvaluesforresources | (4-10) | | RangeofMemoryvaluesforresources | (2-16) | | RangeofNetworkvaluesforresources | (100-1000) | | RangeofCPUvaluesforutilization | (2-10) | | RangeofMemoryvaluesforutilization | (1-16) | | RangeofNetworkvaluesforutilization | (0-1000) | | RangeofrevenuevaluesforexecutingVMs | (0.1-1.5) | | RangeofSLAvaluesofVMs | (0-2) |
| coinbalance* | double | 200.00 | | --- | --- | --- | | credit* | int | 100 | | isBlocked* | bool | false | | isRegistered* | bool | false | | lastrequestid* | string | 0xcf30613db6a84(hashvalue) |
0
| Method | NN | 1-Tier | 2-Tier | mAP | e | DCG | | --- | --- | --- | --- | --- | --- | --- | | meshLBP(B.distance) | 0.77 | 0.74 | 0.86 | 0.73 | 0.17 | 0.71 | | edgeLBP-Run1(B.distance) | 0.87 | 0.82 | 0.99 | 0.82 | 0.17 | 0.80 |
| edgeLBP-Run2(B.distance) | 0.87 | 0.87 | 0.99 | 0.82 | 0.17 | 0.81 | | --- | --- | --- | --- | --- | --- | --- | | SpinImages(B.distance) | 0.58 | 0.55 | 0.70 | 0.67 | 0.16 | 0.65 | | SHOT(χdistance) | 0.23 | 0.21 | 0.23 | 0.34 | 0.09 | 0.31 | | FPFH(EMDdistance) | 0.23 | 0.23 | 0.32 | 0.43 | 0.1 | 0.39 |
1
| Method | NN | 1-Tier | 2-Tier | mAP | e | DCG | | --- | --- | --- | --- | --- | --- | --- | | meshLBP(B.distance) | 0.77 | 0.74 | 0.86 | 0.73 | 0.17 | 0.71 | | edgeLBP-Run1(B.distance) | 0.87 | 0.82 | 0.99 | 0.82 | 0.17 | 0.80 |
| N | 1 | 2 | 5 | 10 | 20 | 100 | | --- | --- | --- | --- | --- | --- | --- | | Situate | 0.37(0.09) | 0.50(0.07) | 0.56(0.07) | 0.65(0.04) | 0.77(0.05) | 0.93(0.02) | | Uniform | 0.29(0.07)) | 0.32(0.07) | 0.44(0.06) | 0.54(0.04) | 0.65(0.03) | 0.79(0.03) | | Faster-RCNN | 0.24 | 0.25 | 0.28 | 0.38 | 0.54 | 0.91 | | IRSG | 0.24 | 0.24 | 0.27 | 0.37 | 0.55 | 0.87 |
0
| Method | NN | 1-Tier | 2-Tier | mAP | e | DCG | | --- | --- | --- | --- | --- | --- | --- | | meshLBP(B.distance) | 0.77 | 0.74 | 0.86 | 0.73 | 0.17 | 0.71 | | edgeLBP-Run1(B.distance) | 0.87 | 0.82 | 0.99 | 0.82 | 0.17 | 0.80 | | edgeLBP-Run2(B.distance) | 0.87 | 0.87 | 0.99 | 0.82 | 0.17 | 0.81 |
| SpinImages(B.distance) | 0.58 | 0.55 | 0.70 | 0.67 | 0.16 | 0.65 | | --- | --- | --- | --- | --- | --- | --- | | SHOT(χdistance) | 0.23 | 0.21 | 0.23 | 0.34 | 0.09 | 0.31 | | FPFH(EMDdistance) | 0.23 | 0.23 | 0.32 | 0.43 | 0.1 | 0.39 |
1
| Method | NN | 1-Tier | 2-Tier | mAP | e | DCG | | --- | --- | --- | --- | --- | --- | --- | | meshLBP(B.distance) | 0.77 | 0.74 | 0.86 | 0.73 | 0.17 | 0.71 | | edgeLBP-Run1(B.distance) | 0.87 | 0.82 | 0.99 | 0.82 | 0.17 | 0.80 | | edgeLBP-Run2(B.distance) | 0.87 | 0.87 | 0.99 | 0.82 | 0.17 | 0.81 |
| Faster-RCNN | 0.24 | 0.25 | 0.28 | 0.38 | 0.54 | 0.91 | | --- | --- | --- | --- | --- | --- | --- | | IRSG | 0.24 | 0.24 | 0.27 | 0.37 | 0.55 | 0.87 |
0
| | NSL-KDD | UNSW-NB15 | | | | | | --- | --- | --- | --- | --- | --- | --- | | ACC | PPV | TPR | ACC | PPV | TPR | | | DecisionTree | 87.91 | 63.62 | 68.50 | 93.78 | 76.42 | 68.92 | | K-means | 82.78 | 84.96 | 56.95 | 87.05 | 74.01 | 35.23 |
| KNeighboursClassifier | 88.56 | 77.19 | 71.39 | 94.31 | 77.42 | 71.52 | | --- | --- | --- | --- | --- | --- | --- | | LogisticRegression | 89.52 | 62.04 | 73.79 | 92.52 | 71.05 | 62.61 | | MultilayerPerceptron(MLP) | 87.91 | 63.62 | 68.5 | 90.16 | 76.72 | 75.39 | | GaussianNaiveBayes | 88.33 | 73.98 | 41.67 | 88.34 | 73.98 | 41.67 | | MultinomialNaiveBayes | 83.96 | 65.52 | 59.90 | 90.97 | 55.40 | 54.86 | | BernoulliNaiveBayes | 74.60 | 87.47 | 36.49 | 91.31 | 55.07 | 56.52 | | RandomForestClassifier | 88.39 | 71.21 | 70.99 | 94.44 | 80.29 | 72.21 | | SupportVectorMachine(SVM) | 88.32 | 64.70 | 70.80 | 93.38 | 76.91 | 66.90 | | OurProposedDeepLearningApproach | 90.99 | 81.95 | 77.48 | 95.84 | 83.40 | 79.19 |
1
| | NSL-KDD | UNSW-NB15 | | | | | | --- | --- | --- | --- | --- | --- | --- | | ACC | PPV | TPR | ACC | PPV | TPR | | | DecisionTree | 87.91 | 63.62 | 68.50 | 93.78 | 76.42 | 68.92 | | K-means | 82.78 | 84.96 | 56.95 | 87.05 | 74.01 | 35.23 |
| | Performance | RocAuc | F1 | | | | | --- | --- | --- | --- | --- | --- | --- | | Classifier | mean | std | mean | std | mean | std | | LogisticRegression | 0.7500 | 0.2738 | 0.7000 | 0.4153 | 0.6166 | 0.4349 | | LDA | 0.6750 | 0.2968 | 0.7000 | 0.4153 | 0.6066 | 0.4103 | | SVC | 0.6500 | 0.3000 | 0.7000 | 0.4153 | 0.5766 | 0.4060 | | GaussianNB | 0.6500 | 0.3000 | 0.6750 | 0.4038 | 0.5766 | 0.4060 | | DecisionTreeClassifier | 0.5500 | 0.2915 | 0.5250 | 0.2610 | 0.5533 | 0.3357 | | GradientBoostingClassifier | 0.5750 | 0.2750 | 0.6375 | 0.2589 | 0.5266 | 0.3362 | | BaggingClassifier | 0.5750 | 0.1600 | 0.5875 | 0.2907 | 0.5066 | 0.2950 | | KNeighborsClassifier | 0.5500 | 0.1500 | 0.5500 | 0.1500 | 0.4300 | 0.2956 | | RandomForestClassifier | 0.5000 | 0.2500 | 0.6000 | 0.3570 | 0.4833 | 0.2833 |
0
| | NSL-KDD | UNSW-NB15 | | | | | | --- | --- | --- | --- | --- | --- | --- | | ACC | PPV | TPR | ACC | PPV | TPR | | | DecisionTree | 87.91 | 63.62 | 68.50 | 93.78 | 76.42 | 68.92 | | K-means | 82.78 | 84.96 | 56.95 | 87.05 | 74.01 | 35.23 | | KNeighboursClassifier | 88.56 | 77.19 | 71.39 | 94.31 | 77.42 | 71.52 |
| LogisticRegression | 89.52 | 62.04 | 73.79 | 92.52 | 71.05 | 62.61 | | --- | --- | --- | --- | --- | --- | --- | | MultilayerPerceptron(MLP) | 87.91 | 63.62 | 68.5 | 90.16 | 76.72 | 75.39 | | GaussianNaiveBayes | 88.33 | 73.98 | 41.67 | 88.34 | 73.98 | 41.67 | | MultinomialNaiveBayes | 83.96 | 65.52 | 59.90 | 90.97 | 55.40 | 54.86 | | BernoulliNaiveBayes | 74.60 | 87.47 | 36.49 | 91.31 | 55.07 | 56.52 | | RandomForestClassifier | 88.39 | 71.21 | 70.99 | 94.44 | 80.29 | 72.21 | | SupportVectorMachine(SVM) | 88.32 | 64.70 | 70.80 | 93.38 | 76.91 | 66.90 | | OurProposedDeepLearningApproach | 90.99 | 81.95 | 77.48 | 95.84 | 83.40 | 79.19 |
1
| | NSL-KDD | UNSW-NB15 | | | | | | --- | --- | --- | --- | --- | --- | --- | | ACC | PPV | TPR | ACC | PPV | TPR | | | DecisionTree | 87.91 | 63.62 | 68.50 | 93.78 | 76.42 | 68.92 | | K-means | 82.78 | 84.96 | 56.95 | 87.05 | 74.01 | 35.23 | | KNeighboursClassifier | 88.56 | 77.19 | 71.39 | 94.31 | 77.42 | 71.52 |
| LDA | 0.6750 | 0.2968 | 0.7000 | 0.4153 | 0.6066 | 0.4103 | | --- | --- | --- | --- | --- | --- | --- | | SVC | 0.6500 | 0.3000 | 0.7000 | 0.4153 | 0.5766 | 0.4060 | | GaussianNB | 0.6500 | 0.3000 | 0.6750 | 0.4038 | 0.5766 | 0.4060 | | DecisionTreeClassifier | 0.5500 | 0.2915 | 0.5250 | 0.2610 | 0.5533 | 0.3357 | | GradientBoostingClassifier | 0.5750 | 0.2750 | 0.6375 | 0.2589 | 0.5266 | 0.3362 | | BaggingClassifier | 0.5750 | 0.1600 | 0.5875 | 0.2907 | 0.5066 | 0.2950 | | KNeighborsClassifier | 0.5500 | 0.1500 | 0.5500 | 0.1500 | 0.4300 | 0.2956 | | RandomForestClassifier | 0.5000 | 0.2500 | 0.6000 | 0.3570 | 0.4833 | 0.2833 |
0
| Method | k,γ | MEN-3k | RG-65 | WS-353 | TOEFL | SYN-REL | SA | | --- | --- | --- | --- | --- | --- | --- | --- | | LBL(Baseline) | k=∞,γ=0 | 58.0 | 42.7 | 53.6 | 66.7 | 31.5 | 72.5 |
| LBL+Lazy | γ=1<br>γ=0.1<br>γ=0.01 | –0.4<br>0.7<br>0.7 | 4.2<br>8.1<br>9.5 | 0.6<br>0.4<br>1.7 | –0.1<br>–1.4<br>2.6 | 0.6<br>0.7<br>1.9 | 1.2<br>0.8<br>0.4 | | --- | --- | --- | --- | --- | --- | --- | --- | | LBL+Periodic | k=100M<br>k=50M<br>k=25M | 3.8<br>3.4<br>0.5 | 18.4<br>19.5<br>18.1 | 3.6<br>4.4<br>2.7 | 12.0<br>18.6<br>21.3 | 4.8<br>0.6<br>–3.7 | 1.3<br>1.9<br>0.8 | | LBL+Retrofitting | – | 5.7 | 15.6 | 5.5 | 18.6 | 14.7 | 0.9 |
1
| Method | k,γ | MEN-3k | RG-65 | WS-353 | TOEFL | SYN-REL | SA | | --- | --- | --- | --- | --- | --- | --- | --- | | LBL(Baseline) | k=∞,γ=0 | 58.0 | 42.7 | 53.6 | 66.7 | 31.5 | 72.5 |
| Req. | Pseudorandom<br>PFNC | ModelcheckingTA<br>PFNC | BDIagents<br>PFNC | | | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | CooperativeManufacturingAssistant(160testspermethod) | | | | | | | | | | | 1<br>2<br>3<br>4<br>5<br>6 | 19<br>3<br>24<br>57<br>33<br>160 | 4<br>0<br>0<br>0<br>31<br>0 | 137<br>157<br>136<br>103<br>96<br>0 | 37<br>35<br>97<br>99<br>128<br>160 | 50<br>10<br>0<br>0<br>2<br>0 | 73<br>115<br>63<br>61<br>30<br>0 | 45<br>31<br>63<br>72<br>79<br>160 | 16<br>5<br>2<br>0<br>4<br>0 | 99<br>124<br>95<br>88<br>77<br>0 | | HomeCareAssistant(50testspermethod) | | | | | | | | | | | 1<br>2<br>3<br>4 | 16<br>19<br>38<br>13 | 7<br>7<br>11<br>36 | 27<br>24<br>1<br>1 | 19<br>13<br>29<br>2 | 11<br>16<br>19<br>46 | 20<br>21<br>2<br>2 | 17<br>21<br>40<br>10 | 6<br>7<br>8<br>38 | 27<br>22<br>2<br>2 |
0
| Method | k,γ | MEN-3k | RG-65 | WS-353 | TOEFL | SYN-REL | SA | | --- | --- | --- | --- | --- | --- | --- | --- | | LBL(Baseline) | k=∞,γ=0 | 58.0 | 42.7 | 53.6 | 66.7 | 31.5 | 72.5 | | LBL+Lazy | γ=1<br>γ=0.1<br>γ=0.01 | –0.4<br>0.7<br>0.7 | 4.2<br>8.1<br>9.5 | 0.6<br>0.4<br>1.7 | –0.1<br>–1.4<br>2.6 | 0.6<br>0.7<br>1.9 | 1.2<br>0.8<br>0.4 |
| LBL+Periodic | k=100M<br>k=50M<br>k=25M | 3.8<br>3.4<br>0.5 | 18.4<br>19.5<br>18.1 | 3.6<br>4.4<br>2.7 | 12.0<br>18.6<br>21.3 | 4.8<br>0.6<br>–3.7 | 1.3<br>1.9<br>0.8 | | --- | --- | --- | --- | --- | --- | --- | --- | | LBL+Retrofitting | – | 5.7 | 15.6 | 5.5 | 18.6 | 14.7 | 0.9 |
1
| Method | k,γ | MEN-3k | RG-65 | WS-353 | TOEFL | SYN-REL | SA | | --- | --- | --- | --- | --- | --- | --- | --- | | LBL(Baseline) | k=∞,γ=0 | 58.0 | 42.7 | 53.6 | 66.7 | 31.5 | 72.5 | | LBL+Lazy | γ=1<br>γ=0.1<br>γ=0.01 | –0.4<br>0.7<br>0.7 | 4.2<br>8.1<br>9.5 | 0.6<br>0.4<br>1.7 | –0.1<br>–1.4<br>2.6 | 0.6<br>0.7<br>1.9 | 1.2<br>0.8<br>0.4 |
| 1<br>2<br>3<br>4<br>5<br>6 | 19<br>3<br>24<br>57<br>33<br>160 | 4<br>0<br>0<br>0<br>31<br>0 | 137<br>157<br>136<br>103<br>96<br>0 | 37<br>35<br>97<br>99<br>128<br>160 | 50<br>10<br>0<br>0<br>2<br>0 | 73<br>115<br>63<br>61<br>30<br>0 | 45<br>31<br>63<br>72<br>79<br>160 | 16<br>5<br>2<br>0<br>4<br>0 | 99<br>124<br>95<br>88<br>77<br>0 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | HomeCareAssistant(50testspermethod) | | | | | | | | | | | 1<br>2<br>3<br>4 | 16<br>19<br>38<br>13 | 7<br>7<br>11<br>36 | 27<br>24<br>1<br>1 | 19<br>13<br>29<br>2 | 11<br>16<br>19<br>46 | 20<br>21<br>2<br>2 | 17<br>21<br>40<br>10 | 6<br>7<br>8<br>38 | 27<br>22<br>2<br>2 |
0
| Operation | Mean | Max | 99pct. | Stdev. | | --- | --- | --- | --- | --- | | Imagecapture | 1.61 | 1.81 | 1.75 | 0.05 |
| Imagepre-processing | 2.77 | 2.90 | 2.87 | 0.04 | | --- | --- | --- | --- | --- | | CNNinferencing | 18.49 | 19.30 | 18.99 | 0.20 | | TotalTime | 22.86 | 23.74 | 23.38 | 0.20 |
1
| Operation | Mean | Max | 99pct. | Stdev. | | --- | --- | --- | --- | --- | | Imagecapture | 1.61 | 1.81 | 1.75 | 0.05 |
| | facedetection | eyedetection | Time(s) | | --- | --- | --- | --- | | Originalimage | 0.297 | 0.58 | NULL | | Lowrank+sparsity | 0.375 | 0.70 | 10 | | Multiscalelowrank | 0.359 | 1.00 | 4472 | | IBTSVT | 0.844 | 1.00 | 715 |
0
| Operation | Mean | Max | 99pct. | Stdev. | | --- | --- | --- | --- | --- | | Imagecapture | 1.61 | 1.81 | 1.75 | 0.05 |
| Imagepre-processing | 2.77 | 2.90 | 2.87 | 0.04 | | --- | --- | --- | --- | --- | | CNNinferencing | 18.49 | 19.30 | 18.99 | 0.20 | | TotalTime | 22.86 | 23.74 | 23.38 | 0.20 |
1
| Operation | Mean | Max | 99pct. | Stdev. | | --- | --- | --- | --- | --- | | Imagecapture | 1.61 | 1.81 | 1.75 | 0.05 |
| Lowrank+sparsity | 0.375 | 0.70 | 10 | | --- | --- | --- | --- | | Multiscalelowrank | 0.359 | 1.00 | 4472 | | IBTSVT | 0.844 | 1.00 | 715 |
0
| u | auser | | --- | --- | | i | asocialmediaitem | | Iu | thesetofu’ssocialmediaitems | | c | aconcept |
| C | thesetofconcepts | | --- | --- | | d | acandidateitem(scientificpublication) | | D | thesetofcandidateitems | | t,tid | thetimestampofiandd,respectively | | Pu | u’suserprofile | | Pd | d’sdocumentprofile | | Φ | aprofilingfunction | | w | aweightingfunction(notconsideringtemporaldecay) | | f | adecayfunction | | w | aweightingfunctionthatextendswwithtemporaldecay | | σ | asimilarityfunction |
1
| u | auser | | --- | --- | | i | asocialmediaitem | | Iu | thesetofu’ssocialmediaitems | | c | aconcept |
| Notation | Definition | | --- | --- | | T<br>(p) | Timecomplexityofamultiplication | | T<br>(p) | Timecomplexityofanaddition | | T<br>(p) | Timecomplexityofanexponentiation | | T<br>(p) | Timecomplexityofaninversion | | T<br>(p) | Timecomplexityofanellipticcurvescalarmultiplication | | T<br>(p) | Timecomplexityofanellipticcurvepointsaddition |
0
| u | auser | | --- | --- | | i | asocialmediaitem | | Iu | thesetofu’ssocialmediaitems | | c | aconcept | | C | thesetofconcepts | | d | acandidateitem(scientificpublication) | | D | thesetofcandidateitems | | t,tid | thetimestampofiandd,respectively | | Pu | u’suserprofile | | Pd | d’sdocumentprofile | | Φ | aprofilingfunction | | w | aweightingfunction(notconsideringtemporaldecay) |
| f | adecayfunction | | --- | --- | | w | aweightingfunctionthatextendswwithtemporaldecay | | σ | asimilarityfunction |
1
| u | auser | | --- | --- | | i | asocialmediaitem | | Iu | thesetofu’ssocialmediaitems | | c | aconcept | | C | thesetofconcepts | | d | acandidateitem(scientificpublication) | | D | thesetofcandidateitems | | t,tid | thetimestampofiandd,respectively | | Pu | u’suserprofile | | Pd | d’sdocumentprofile | | Φ | aprofilingfunction | | w | aweightingfunction(notconsideringtemporaldecay) |
| T<br>(p) | Timecomplexityofanellipticcurvescalarmultiplication | | --- | --- | | T<br>(p) | Timecomplexityofanellipticcurvepointsaddition |
0
| | | | | | | | | --- | --- | --- | --- | --- | --- | --- | | Vancouver | RIV<br>Cu | 0.273<br>0.304 | 0.198<br>0.236 | 0.179<br>0.284 | 0.195<br>0.281 | 0.179<br>0.314 | | Bayard | RIV<br>Cu | 0.273<br>0.770 | 0.178<br>0.744 | 0.157<br>0.736 | 0.073<br>0.838 | 0.203<br>0.750 |
| Cheminot | RIV<br>Cu | 0.273<br>0.844 | 0.165<br>0.848 | 0.147<br>0.808 | 0.060<br>0.932 | 0.203<br>0.829 | | --- | --- | --- | --- | --- | --- | --- | | Cropland | RIV<br>Cu | 0.046<br>0.337 | 0.037<br>0.412 | 0.038<br>0.415 | 0.028<br>0.426 | 0.048<br>0.423 |
1
| | | | | | | | | --- | --- | --- | --- | --- | --- | --- | | Vancouver | RIV<br>Cu | 0.273<br>0.304 | 0.198<br>0.236 | 0.179<br>0.284 | 0.195<br>0.281 | 0.179<br>0.314 | | Bayard | RIV<br>Cu | 0.273<br>0.770 | 0.178<br>0.744 | 0.157<br>0.736 | 0.073<br>0.838 | 0.203<br>0.750 |
| CIFAR-10 | NUS-WIDE | | | | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 12bits | 24bits | 32bits | 48bits | 12bits | 24bits | 32bits | 48bits | 12bits | | 0.162<br>0.131<br>0.121<br>0.138 | 0.169<br>0.135<br>0.126<br>0.141 | 0.172<br>0.133<br>0.120<br>0.146 | 0.175<br>0.130<br>0.120<br>0.150 | 0.452<br>0.433<br>0.403<br>0.413 | 0.468<br>0.426<br>0.421<br>0.413 | 0.472<br>0.426<br>0.426<br>0.424 | 0.477<br>0.423<br>0.441<br>0.431 | 0.544<br>0.531<br>0.499<br>0.569 | | 0.196<br>0.174<br>0.101<br>0.212 | 0.246<br>0.205<br>0.128<br>0.247 | 0.289<br>0.220<br>0.132<br>0.256 | 0.301<br>0.232<br>0.169<br>0.281 | 0.435<br>0.433<br>0.401<br>0.549 | 0.435<br>0.426<br>0.442<br>0.614 | 0.548<br>0.426<br>0.480<br>0.653 | 0.435<br>0.423<br>0.471<br>0.678 | 0.553<br>0.550<br>0.543<br>0.552 | | 0.185<br>0.160<br>0.401 | 0.218<br>0.164<br>0.512 | 0.248<br>0.166<br>0.531 | 0.263<br>0.168<br>0.558 | 0.383<br>0.422<br>0.675 | 0.401<br>0.448<br>0.690 | 0.403<br>0.480<br>0.714 | 0.412<br>0.493<br>0.728 | 0.501<br>0.553<br>0.683 |
0
| | | | | | | | | --- | --- | --- | --- | --- | --- | --- | | Vancouver | RIV<br>Cu | 0.273<br>0.304 | 0.198<br>0.236 | 0.179<br>0.284 | 0.195<br>0.281 | 0.179<br>0.314 | | Bayard | RIV<br>Cu | 0.273<br>0.770 | 0.178<br>0.744 | 0.157<br>0.736 | 0.073<br>0.838 | 0.203<br>0.750 |
| Cheminot | RIV<br>Cu | 0.273<br>0.844 | 0.165<br>0.848 | 0.147<br>0.808 | 0.060<br>0.932 | 0.203<br>0.829 | | --- | --- | --- | --- | --- | --- | --- | | Cropland | RIV<br>Cu | 0.046<br>0.337 | 0.037<br>0.412 | 0.038<br>0.415 | 0.028<br>0.426 | 0.048<br>0.423 |
1
| | | | | | | | | --- | --- | --- | --- | --- | --- | --- | | Vancouver | RIV<br>Cu | 0.273<br>0.304 | 0.198<br>0.236 | 0.179<br>0.284 | 0.195<br>0.281 | 0.179<br>0.314 | | Bayard | RIV<br>Cu | 0.273<br>0.770 | 0.178<br>0.744 | 0.157<br>0.736 | 0.073<br>0.838 | 0.203<br>0.750 |
| 0.196<br>0.174<br>0.101<br>0.212 | 0.246<br>0.205<br>0.128<br>0.247 | 0.289<br>0.220<br>0.132<br>0.256 | 0.301<br>0.232<br>0.169<br>0.281 | 0.435<br>0.433<br>0.401<br>0.549 | 0.435<br>0.426<br>0.442<br>0.614 | 0.548<br>0.426<br>0.480<br>0.653 | 0.435<br>0.423<br>0.471<br>0.678 | 0.553<br>0.550<br>0.543<br>0.552 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 0.185<br>0.160<br>0.401 | 0.218<br>0.164<br>0.512 | 0.248<br>0.166<br>0.531 | 0.263<br>0.168<br>0.558 | 0.383<br>0.422<br>0.675 | 0.401<br>0.448<br>0.690 | 0.403<br>0.480<br>0.714 | 0.412<br>0.493<br>0.728 | 0.501<br>0.553<br>0.683 |
0
| 8 | 16 | 32 | 64 | 128 | 256 | | --- | --- | --- | --- | --- | --- | | conv(1,8) | conv(1,8)<br>maxpool(2) | conv(1,8)<br>maxpool(2) | conv(1,8)<br>maxpool(2) | conv(1,8)<br>maxpool(2) | conv(1,8)<br>maxpool(2) | | | conv(8,16) | conv(8,16)<br>maxpool(2) | conv(8,16)<br>maxpool(2) | conv(8,16)<br>maxpool(2) | conv(8,16)<br>maxpool(2) | | | | conv(16,24) | conv(16,24)<br>maxpool(2) | conv(16,24)<br>maxpool(2) | conv(16,24)<br>maxpool(2) | | | | | conv(24,32) | conv(24,32)<br>maxpool(2) | conv(24,32)<br>maxpool(2) | | | | | | conv(32,40) | conv(32,40)<br>maxpool(2) | | | | | | | conv(40,48) |
| Dropout(0.5) | | --- | | fully-connected(1024) | | fully-connected(10) | | SoftMax |
1
| 8 | 16 | 32 | 64 | 128 | 256 | | --- | --- | --- | --- | --- | --- | | conv(1,8) | conv(1,8)<br>maxpool(2) | conv(1,8)<br>maxpool(2) | conv(1,8)<br>maxpool(2) | conv(1,8)<br>maxpool(2) | conv(1,8)<br>maxpool(2) | | | conv(8,16) | conv(8,16)<br>maxpool(2) | conv(8,16)<br>maxpool(2) | conv(8,16)<br>maxpool(2) | conv(8,16)<br>maxpool(2) | | | | conv(16,24) | conv(16,24)<br>maxpool(2) | conv(16,24)<br>maxpool(2) | conv(16,24)<br>maxpool(2) | | | | | conv(24,32) | conv(24,32)<br>maxpool(2) | conv(24,32)<br>maxpool(2) | | | | | | conv(32,40) | conv(32,40)<br>maxpool(2) | | | | | | | conv(40,48) |
| 8 | 16 | 32 | 64 | 128 | 256 | | --- | --- | --- | --- | --- | --- | | conv(1,8) | conv(1,8)<br>maxpool(2) | conv(1,8)<br>maxpool(2) | conv(1,8)<br>maxpool(2) | conv(1,8)<br>maxpool(2) | conv(1,8)<br>maxpool(2) | | | conv(8,16) | conv(8,16)<br>maxpool(2) | conv(8,16)<br>maxpool(2) | conv(8,16)<br>maxpool(2) | conv(8,16)<br>maxpool(2) | | | | conv(16,24) | conv(16,24)<br>maxpool(2) | conv(16,24)<br>maxpool(2) | conv(16,24)<br>maxpool(2) | | | | | conv(24,32) | conv(24,32)<br>maxpool(2) | conv(24,32)<br>maxpool(2) | | | | | | conv(32,40) | conv(32,40)<br>maxpool(2) | | | | | | | conv(40,48) | | Dropout(0.5) | | | | | | | fully-connected(1024) | | | | | | | fully-connected(4) | | | | | | | Normalize | | | | | |
0
| 8 | 16 | 32 | 64 | 128 | 256 | | --- | --- | --- | --- | --- | --- | | conv(1,8) | conv(1,8)<br>maxpool(2) | conv(1,8)<br>maxpool(2) | conv(1,8)<br>maxpool(2) | conv(1,8)<br>maxpool(2) | conv(1,8)<br>maxpool(2) | | | conv(8,16) | conv(8,16)<br>maxpool(2) | conv(8,16)<br>maxpool(2) | conv(8,16)<br>maxpool(2) | conv(8,16)<br>maxpool(2) | | | | conv(16,24) | conv(16,24)<br>maxpool(2) | conv(16,24)<br>maxpool(2) | conv(16,24)<br>maxpool(2) |
| | | | conv(24,32) | conv(24,32)<br>maxpool(2) | conv(24,32)<br>maxpool(2) | | --- | --- | --- | --- | --- | --- | | | | | | conv(32,40) | conv(32,40)<br>maxpool(2) | | | | | | | conv(40,48) | | Dropout(0.5) | | | | | | | fully-connected(1024) | | | | | | | fully-connected(10) | | | | | | | SoftMax | | | | | |
1
| 8 | 16 | 32 | 64 | 128 | 256 | | --- | --- | --- | --- | --- | --- | | conv(1,8) | conv(1,8)<br>maxpool(2) | conv(1,8)<br>maxpool(2) | conv(1,8)<br>maxpool(2) | conv(1,8)<br>maxpool(2) | conv(1,8)<br>maxpool(2) | | | conv(8,16) | conv(8,16)<br>maxpool(2) | conv(8,16)<br>maxpool(2) | conv(8,16)<br>maxpool(2) | conv(8,16)<br>maxpool(2) | | | | conv(16,24) | conv(16,24)<br>maxpool(2) | conv(16,24)<br>maxpool(2) | conv(16,24)<br>maxpool(2) |
| fully-connected(4) | | --- | | Normalize |
0
| Dataset | #Images | #Subjects | | --- | --- | --- | | AWE | 1000 | 100 |
| AMI | 700 | 100 | | --- | --- | --- | | WPUT | 2071 | 501 | | IITD | 493 | 125 | | CP | 102 | 17 | | UERCTrain | 2304 | 166 | | Multi-PIEEar | 17183 | 205 |
1
| Dataset | #Images | #Subjects | | --- | --- | --- | | AWE | 1000 | 100 |
| Dataset | #ofsamples | #ofclasses | #ofattributes | | --- | --- | --- | --- | | Breastcancer | 286 | 2 | 9 | | Diabetes | 768 | 2 | 8 | | SolarFlare | 144 | 3 | 9 | | German | 1000 | 2 | 20 | | Heart | 270 | 2 | 13 | | Image | 2310 | 7 | 19 | | Ringnorm | 7400 | 2 | 20 | | Splice | 3190 | 3 | 60 | | Thyroid | 215 | 3 | 5 | | Twonorm | 7400 | 2 | 20 | | Waveform | 5000 | 3 | 21 |
0
| Dataset | #Images | #Subjects | | --- | --- | --- | | AWE | 1000 | 100 | | AMI | 700 | 100 | | WPUT | 2071 | 501 | | IITD | 493 | 125 |
| CP | 102 | 17 | | --- | --- | --- | | UERCTrain | 2304 | 166 | | Multi-PIEEar | 17183 | 205 |
1
| Dataset | #Images | #Subjects | | --- | --- | --- | | AWE | 1000 | 100 | | AMI | 700 | 100 | | WPUT | 2071 | 501 | | IITD | 493 | 125 |
| Thyroid | 215 | 3 | 5 | | --- | --- | --- | --- | | Twonorm | 7400 | 2 | 20 | | Waveform | 5000 | 3 | 21 |
0
| Algorithm | WAVGinK=1 | | --- | --- | | J48 | 0.65/569 | | NaiveBayes | 0.80/569 |
| PART | 0.69/569 | | --- | --- | | Logistic | 0.59/512 |
1
| Algorithm | WAVGinK=1 | | --- | --- | | J48 | 0.65/569 | | NaiveBayes | 0.80/569 |
| Model/Algorithm | MNIST | Caltech101 | US-CT | | | | | --- | --- | --- | --- | --- | --- | --- | | | DC | mIoU | DC | mIoU | DC | mIoU | | DetectionAccuracy | 0.87 | 0.78 | 0.95 | 0.91 | 0.97 | .0.94 | | MatchingAccuracy | 0.82 | 0.71 | 0.96 | 0.93 | 0.97 | 0.95 | | DSPaccw/oseg | 0.58 | 0.44 | 0.60 | 0.48 | 0.29 | 0.17 | | DSPaccwithseg | - | - | - | - | 0.63 | 0.49 |
0
| Algorithm | WAVGinK=1 | | --- | --- | | J48 | 0.65/569 | | NaiveBayes | 0.80/569 |
| PART | 0.69/569 | | --- | --- | | Logistic | 0.59/512 |
1
| Algorithm | WAVGinK=1 | | --- | --- | | J48 | 0.65/569 | | NaiveBayes | 0.80/569 |
| DSPaccw/oseg | 0.58 | 0.44 | 0.60 | 0.48 | 0.29 | 0.17 | | --- | --- | --- | --- | --- | --- | --- | | DSPaccwithseg | - | - | - | - | 0.63 | 0.49 |
0
| component | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 11 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | componentsize | 26 | 22 | 23 | 25 | 27 | 23 | 24 | 22 | 24 | 24 |
| class | 1B | 5A | 3B | 5B | 2B | 2A | 3A | 4A | 1A | 4B | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | classsize(withoutteacher) | 25 | 22 | 22 | 24 | 26 | 22 | 23 | 21 | 23 | 23 | | teacherfound | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | | missingnodes | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
1
| component | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 11 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | componentsize | 26 | 22 | 23 | 25 | 27 | 23 | 24 | 22 | 24 | 24 |
| Class | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | 88 | 85 | 91 | 90 | 91 | 100 | 100 | 95 | 83 | 83 | 71 | 70 | 96 | 75 | | 2. | 53 | 70 | 88 | 90 | 100 | 100 | 100 | 100 | 83 | 71 | 63 | 63 | 87 | 47 | | 3 | 29 | 75 | 91 | 90 | 75 | 100 | 100 | 100 | 50 | 46 | 55 | 44 | 96 | 32 | | Class | 15 | 16 | 17 | 18 | 19 | 20 | 21 | 22 | 23 | 24 | 25 | 26 | 27 | | | 1 | 71 | 84 | 70 | 95 | 95 | 85 | 76 | 90 | 80 | 70 | 77 | 100 | 80 | | | 2 | 59 | 72 | 59 | 85 | 95 | 95 | 66 | 95 | 45 | 40 | 69 | 100 | 78 | | | 3 | 49 | 75 | 49 | 55 | 90 | 90 | 69 | 95 | 15 | 50 | 72 | 100 | 83 | |
0
| component | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 11 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | componentsize | 26 | 22 | 23 | 25 | 27 | 23 | 24 | 22 | 24 | 24 | | class | 1B | 5A | 3B | 5B | 2B | 2A | 3A | 4A | 1A | 4B |
| classsize(withoutteacher) | 25 | 22 | 22 | 24 | 26 | 22 | 23 | 21 | 23 | 23 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | teacherfound | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | | missingnodes | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
1
| component | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 11 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | componentsize | 26 | 22 | 23 | 25 | 27 | 23 | 24 | 22 | 24 | 24 | | class | 1B | 5A | 3B | 5B | 2B | 2A | 3A | 4A | 1A | 4B |
| 2 | 59 | 72 | 59 | 85 | 95 | 95 | 66 | 95 | 45 | 40 | 69 | 100 | 78 | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 3 | 49 | 75 | 49 | 55 | 90 | 90 | 69 | 95 | 15 | 50 | 72 | 100 | 83 | |
0
| | Server-sideBenchmarks | Client-sideDrivingTool | | --- | --- | --- | | WebServer | Apachehttpd | Apacheab |
| DatabaseServer | MySQL | SysBench | | --- | --- | --- | | MailServer | Postfix | Postal | | FileServer | Sambasmbd | DBench | | StreamingServer | ffserver | openRTSP | | ApplicationServer | Tomcat | Apacheab | | ComputeServer | libsvm | a1a.t | | IdleServer | - | - |
1
| | Server-sideBenchmarks | Client-sideDrivingTool | | --- | --- | --- | | WebServer | Apachehttpd | Apacheab |
| AC | AuthenticatedModule | | --- | --- | | AIK | AttestationIdentityKey | | CA | CertificateAuthority | | DRTM | DynamicRootofTrustforMeasurement | | MITM | Man-in-the-Middle | | MLE | MeasuredLaunchEnvironment | | PAL | ProgramApplicationLogic | | PCR | PlatformConfigurationRegister | | SKINIT | SecureKernelInit | | SLB | SecureLoaderBlock | | SML | StoredMeasurementLog | | SRK | StorageRootKey | | TCB | TrustedComputingBase | | TPM | TrustedPlatformModule | | TXT | TrustedExecutionTechnology | | PM | ProxyModule | | DB | Database |
0
| | Server-sideBenchmarks | Client-sideDrivingTool | | --- | --- | --- | | WebServer | Apachehttpd | Apacheab | | DatabaseServer | MySQL | SysBench | | MailServer | Postfix | Postal |
| FileServer | Sambasmbd | DBench | | --- | --- | --- | | StreamingServer | ffserver | openRTSP | | ApplicationServer | Tomcat | Apacheab | | ComputeServer | libsvm | a1a.t | | IdleServer | - | - |
1
| | Server-sideBenchmarks | Client-sideDrivingTool | | --- | --- | --- | | WebServer | Apachehttpd | Apacheab | | DatabaseServer | MySQL | SysBench | | MailServer | Postfix | Postal |
| SLB | SecureLoaderBlock | | --- | --- | | SML | StoredMeasurementLog | | SRK | StorageRootKey | | TCB | TrustedComputingBase | | TPM | TrustedPlatformModule | | TXT | TrustedExecutionTechnology | | PM | ProxyModule | | DB | Database |
0
| | DurationperFile | TagsperFile | | | | --- | --- | --- | --- | --- | | | Mean | Median | Mean | Median | | ANPs(complete) | 112.84 | 14.77 | 21.84 | 19 |
| ANPs(filtered) | 107.8 | 14.75 | 21.21 | 18 | | --- | --- | --- | --- | --- | | VNPs(complete) | 70.88 | 8.91 | 15.48 | 12 | | VNPs(filtered) | 58.72 | 7.87 | 14.59 | 11 |
1
| | DurationperFile | TagsperFile | | | | --- | --- | --- | --- | --- | | | Mean | Median | Mean | Median | | ANPs(complete) | 112.84 | 14.77 | 21.84 | 19 |
| | AFLWDataset(21pts) | | | | | | --- | --- | --- | --- | --- | --- | | | [0,30] | (30,60] | (60,90] | mean | std | | AN | 4.88 | 5.55 | 7.10 | 5.84 | 1.14 | | AN+LR | 4.00 | 4.48 | 5.89 | 4.79 | 0.98 | | VGG | 4.15 | 4.64 | 5.96 | 4.92 | 0.94 | | VGG+LR | 3.46 | 3.78 | 4.77 | 4.00 | 0.69 |
0
| | DurationperFile | TagsperFile | | | | --- | --- | --- | --- | --- | | | Mean | Median | Mean | Median |
| ANPs(complete) | 112.84 | 14.77 | 21.84 | 19 | | --- | --- | --- | --- | --- | | ANPs(filtered) | 107.8 | 14.75 | 21.21 | 18 | | VNPs(complete) | 70.88 | 8.91 | 15.48 | 12 | | VNPs(filtered) | 58.72 | 7.87 | 14.59 | 11 |
1
| | DurationperFile | TagsperFile | | | | --- | --- | --- | --- | --- | | | Mean | Median | Mean | Median |
| AN | 4.88 | 5.55 | 7.10 | 5.84 | 1.14 | | --- | --- | --- | --- | --- | --- | | AN+LR | 4.00 | 4.48 | 5.89 | 4.79 | 0.98 | | VGG | 4.15 | 4.64 | 5.96 | 4.92 | 0.94 | | VGG+LR | 3.46 | 3.78 | 4.77 | 4.00 | 0.69 |
0
| Dataset | Available | people | images | | --- | --- | --- | --- | | IJB-A | public | 500 | 5712 | | LFW | public | 5K | 13K | | YFD | public | 1595 | 3425videos |
| CelebFaces | public | 10K | 202K | | --- | --- | --- | --- | | CASIA-WebFace | public | 10K | 500K | | Ours | public | 100K | about10M | | Facebook | private | 4K | 4400K | | Google | private | 8M | 100-200M |
1
| Dataset | Available | people | images | | --- | --- | --- | --- | | IJB-A | public | 500 | 5712 | | LFW | public | 5K | 13K | | YFD | public | 1595 | 3425videos |
| DataSet | RealNetwork | RD | SW | SF | HK | | --- | --- | --- | --- | --- | --- | | | HighestDegreeofaNode | | | | | | Blog | 351 | 46 | 47 | 211 | 321 | | Twitter | 237 | 27 | 27 | 253 | 319 | | Epinions | 1192 | 77 | 72 | 373 | 560 | | Author | 102 | 15 | 16 | 201 | 183 | | | ClusteringCoefficient | | | | | | Blog | 0.32 | 0.02 | 0.56 | 0.07 | 0.24 | | Twitter | 0.13 | 0.005 | 0.49 | 0.03 | 0.27 | | Epinions | 0.27 | 0.02 | 0.58 | 0.08 | 0.22 | | Author | 0.53 | 0.001 | 0.31 | 0.01 | 0.42 | | | AveragePathLength | | | | | | Blog | 2.7 | 2.5 | 3.2 | 2.4 | 2.2 | | Twitter | 3.4 | 3.2 | 4.2 | 2.9 | 2.8 | | Epinions | 2.2 | 2.2 | 3.0 | 2.2 | 2.0 | | Author | 5.31 | 5.07 | 6.41 | 3.4 | 4.0 | | | | | | | |
0
| Dataset | Available | people | images | | --- | --- | --- | --- | | IJB-A | public | 500 | 5712 | | LFW | public | 5K | 13K | | YFD | public | 1595 | 3425videos |
| CelebFaces | public | 10K | 202K | | --- | --- | --- | --- | | CASIA-WebFace | public | 10K | 500K | | Ours | public | 100K | about10M | | Facebook | private | 4K | 4400K | | Google | private | 8M | 100-200M |
1
| Dataset | Available | people | images | | --- | --- | --- | --- | | IJB-A | public | 500 | 5712 | | LFW | public | 5K | 13K | | YFD | public | 1595 | 3425videos |
| Twitter | 237 | 27 | 27 | 253 | 319 | | --- | --- | --- | --- | --- | --- | | Epinions | 1192 | 77 | 72 | 373 | 560 | | Author | 102 | 15 | 16 | 201 | 183 | | | ClusteringCoefficient | | | | | | Blog | 0.32 | 0.02 | 0.56 | 0.07 | 0.24 | | Twitter | 0.13 | 0.005 | 0.49 | 0.03 | 0.27 | | Epinions | 0.27 | 0.02 | 0.58 | 0.08 | 0.22 | | Author | 0.53 | 0.001 | 0.31 | 0.01 | 0.42 | | | AveragePathLength | | | | | | Blog | 2.7 | 2.5 | 3.2 | 2.4 | 2.2 | | Twitter | 3.4 | 3.2 | 4.2 | 2.9 | 2.8 | | Epinions | 2.2 | 2.2 | 3.0 | 2.2 | 2.0 | | Author | 5.31 | 5.07 | 6.41 | 3.4 | 4.0 | | | | | | | |
0
| | RGBD135Dataset | NLPRDataset | SSD100Dataset | NJU2000Dataset | | --- | --- | --- | --- | --- | | FT | 0.2049 | 0.2168 | 0.2738 | 0.2637 | | SIM | 0.3740 | 0.3957 | 0.4184 | 0.4012 | | HS | 0.1849 | 0.1909 | 0.2582 | 0.2516 | | BSCA | 0.1851 | 0.1754 | 0.2386 | 0.2148 | | LPS | 0.1406 | 0.1252 | 0.1960 | 0.2059 | | DES | 0.3079 | 0.3207 | 0.3132 | 0.4465 |
| NLPR | 0.1165 | 0.1087 | 0.1784 | 0.1669 | | --- | --- | --- | --- | --- | | OURS | 0.0794 | 0.0860 | 0.1779 | 0.1589 |
1
| | RGBD135Dataset | NLPRDataset | SSD100Dataset | NJU2000Dataset | | --- | --- | --- | --- | --- | | FT | 0.2049 | 0.2168 | 0.2738 | 0.2637 | | SIM | 0.3740 | 0.3957 | 0.4184 | 0.4012 | | HS | 0.1849 | 0.1909 | 0.2582 | 0.2516 | | BSCA | 0.1851 | 0.1754 | 0.2386 | 0.2148 | | LPS | 0.1406 | 0.1252 | 0.1960 | 0.2059 | | DES | 0.3079 | 0.3207 | 0.3132 | 0.4465 |
| Methods | MAE | F-<br>measure | Max-P | Min-P | Max-R | Min-R | | --- | --- | --- | --- | --- | --- | --- | | FT | 0.2049 | 0.2804 | 0.3875 | 0.1262 | 1 | 0 | | SIM | 0.3740 | 0.3345 | 0.5076 | 0.1262 | 1 | 0 | | HS | 0.1849 | 0.5361 | 0.6581 | 0.1262 | 1 | 0.1187 | | BSCA | 0.1851 | 0.5826 | 0.7977 | 0.1262 | 1 | 0.0306 | | LPS | 0.1406 | 0.5452 | 0.6951 | 0.1262 | 1 | 0.0026 | | RGBD1 | 0.3079 | 0.5410 | 0.8561 | 0.1262 | 1 | 0.1731 | | RGBD2 | 0.1165 | 0.4912 | 0.7699 | 0.1262 | 1 | 0.0049 | | OURS1 | 0.1065 | 0.5357 | 0.9000 | 0.0074 | 1 | 0 | | OURS2 | 0.0880 | 0.6881 | 0.9249 | 0.1262 | 1 | 0.1118 | | OURS | 0.0781 | 0.7230 | 0.9181 | 0.1262 | 1 | 0.2669 |
0
| | RGBD135Dataset | NLPRDataset | SSD100Dataset | NJU2000Dataset | | --- | --- | --- | --- | --- | | FT | 0.2049 | 0.2168 | 0.2738 | 0.2637 |
| SIM | 0.3740 | 0.3957 | 0.4184 | 0.4012 | | --- | --- | --- | --- | --- | | HS | 0.1849 | 0.1909 | 0.2582 | 0.2516 | | BSCA | 0.1851 | 0.1754 | 0.2386 | 0.2148 | | LPS | 0.1406 | 0.1252 | 0.1960 | 0.2059 | | DES | 0.3079 | 0.3207 | 0.3132 | 0.4465 | | NLPR | 0.1165 | 0.1087 | 0.1784 | 0.1669 | | OURS | 0.0794 | 0.0860 | 0.1779 | 0.1589 |
1
| | RGBD135Dataset | NLPRDataset | SSD100Dataset | NJU2000Dataset | | --- | --- | --- | --- | --- | | FT | 0.2049 | 0.2168 | 0.2738 | 0.2637 |
| OURS1 | 0.1065 | 0.5357 | 0.9000 | 0.0074 | 1 | 0 | | --- | --- | --- | --- | --- | --- | --- | | OURS2 | 0.0880 | 0.6881 | 0.9249 | 0.1262 | 1 | 0.1118 | | OURS | 0.0781 | 0.7230 | 0.9181 | 0.1262 | 1 | 0.2669 |
0