premise string | hypothesis string | label int64 |
|---|---|---|
| | Contextuals | Defaulters | Overall |
| --- | --- | --- | --- |
| A1 | 0.4839 | 0.6444 | 0.5717 |
| A2 | 0.4558 | 0.6395 | 0.5605 | | | Permission | 0.0040 | 0.0038 | 0.0050 |
| --- | --- | --- | --- |
| Time | 0.0487 | 0.1391 | 0.0130 |
| Visibility | 0.0015 | 0.0007 | 0.0010 | | 1 |
| | Contextuals | Defaulters | Overall |
| --- | --- | --- | --- |
| A1 | 0.4839 | 0.6444 | 0.5717 |
| A2 | 0.4558 | 0.6395 | 0.5605 | | | Dataset | Restaurants | Laptops |
| --- | --- | --- |
| No-Target | 0.772 | 0.708 |
| No-Interaction | 0.769 | 0.706 |
| Target2Content | 0.775 | 0.712 |
| IAN | 0.786 | 0.721 | | 0 |
| | Contextuals | Defaulters | Overall |
| --- | --- | --- | --- |
| A1 | 0.4839 | 0.6444 | 0.5717 | | | A2 | 0.4558 | 0.6395 | 0.5605 |
| --- | --- | --- | --- |
| Permission | 0.0040 | 0.0038 | 0.0050 |
| Time | 0.0487 | 0.1391 | 0.0130 |
| Visibility | 0.0015 | 0.0007 | 0.0010 | | 1 |
| | Contextuals | Defaulters | Overall |
| --- | --- | --- | --- |
| A1 | 0.4839 | 0.6444 | 0.5717 | | | No-Interaction | 0.769 | 0.706 |
| --- | --- | --- |
| Target2Content | 0.775 | 0.712 |
| IAN | 0.786 | 0.721 | | 0 |
| Dataset | MBSGD | ASSGD | ASHR |
| --- | --- | --- | --- |
| MNIST | 0.179s | 0.208s | 0.205s |
| URL | 0.080s | 0.092s | 0.092s | | | CIFAR10 | 0.245s | 0.295s | 0.296s |
| --- | --- | --- | --- |
| CIFAR-DA | 0.110s | 0.119s | 0.119s | | 1 |
| Dataset | MBSGD | ASSGD | ASHR |
| --- | --- | --- | --- |
| MNIST | 0.179s | 0.208s | 0.205s |
| URL | 0.080s | 0.092s | 0.092s | | | Dataset | Site1 | Site2 | Site3 | Site4 | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Accuracy | Time | Accuracy | Time | Accuracy | Time | Accuracy | Time | |
| Mfeat-Fac | 100 | 0.1365 | 100 | 0.256 | 100 | 0.143 | - | - |
| Pendigits | 100 | 0.062 | 99.53 | 0.110 | 100 | 0.049 | 100 | 1.0132 |
| SDSS | 100 | 49.996 | 89.09 | 115.76 | 89.13 | 369.93 | 89.76 | 1728.097 | | 0 |
| Dataset | MBSGD | ASSGD | ASHR |
| --- | --- | --- | --- |
| MNIST | 0.179s | 0.208s | 0.205s | | | URL | 0.080s | 0.092s | 0.092s |
| --- | --- | --- | --- |
| CIFAR10 | 0.245s | 0.295s | 0.296s |
| CIFAR-DA | 0.110s | 0.119s | 0.119s | | 1 |
| Dataset | MBSGD | ASSGD | ASHR |
| --- | --- | --- | --- |
| MNIST | 0.179s | 0.208s | 0.205s | | | Pendigits | 100 | 0.062 | 99.53 | 0.110 | 100 | 0.049 | 100 | 1.0132 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| SDSS | 100 | 49.996 | 89.09 | 115.76 | 89.13 | 369.93 | 89.76 | 1728.097 | | 0 |
| Dataset | Participants | Resolution | FPS | Samples |
| --- | --- | --- | --- | --- |
| Polikovsky | 11 | 640×480 | 200 | 13 |
| USF-HD | N/A | 720×1280 | 29.7 | 100 |
| YorkDDT | 9 | 320×240 | 25 | 18 |
| CASME | 35 | 640×480,1280×720 | 60 | 195 |
| SMIC | 20 | 640×480 | 100and25 | 164 | | | CASMEII | 35 | 640×480 | 200 | 247 |
| --- | --- | --- | --- | --- |
| SAMM | 32 | 2040×1088 | 200 | 159 |
| 2<br>CAS(ME) | 22 | 640×480 | 30 | 250macro,53micro | | 1 |
| Dataset | Participants | Resolution | FPS | Samples |
| --- | --- | --- | --- | --- |
| Polikovsky | 11 | 640×480 | 200 | 13 |
| USF-HD | N/A | 720×1280 | 29.7 | 100 |
| YorkDDT | 9 | 320×240 | 25 | 18 |
| CASME | 35 | 640×480,1280×720 | 60 | 195 |
| SMIC | 20 | 640×480 | 100and25 | 164 | | | Dataset | MMPC | HITON-PC | MMMB | HITON-MB | IAMB | mRMR | CMI | JMI |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| mushroom | 0.89 | 1.19 | 42.98 | 44.12 | 0.16 | 0.03 | 0.01 | 0.03 |
| kr-vs-kp | 0.31 | 0.33 | 6.87 | 6.21 | 0.43 | 0.04 | 0.03 | 0.07 |
| madelon | 0.18 | 0.21 | 0.87 | 0.9448 | 3.07 | 0.4 | 0.03 | 1.53 |
| gisstee | 32,684 | 65,308 | 50,929 | 107,870 | 12.90 | 8.38 | 1.32 | 52 |
| spambase | 35 | 37 | 200 | 203 | 0.7648 | 0.09 | 0.06 | 0.24 |
| bankrupty | 112 | 95 | 296 | 239 | 2.06 | 0.31 | 0.11 | 1.27 | | 0 |
| Dataset | Participants | Resolution | FPS | Samples |
| --- | --- | --- | --- | --- |
| Polikovsky | 11 | 640×480 | 200 | 13 |
| USF-HD | N/A | 720×1280 | 29.7 | 100 |
| YorkDDT | 9 | 320×240 | 25 | 18 |
| CASME | 35 | 640×480,1280×720 | 60 | 195 |
| SMIC | 20 | 640×480 | 100and25 | 164 |
| CASMEII | 35 | 640×480 | 200 | 247 | | | SAMM | 32 | 2040×1088 | 200 | 159 |
| --- | --- | --- | --- | --- |
| 2<br>CAS(ME) | 22 | 640×480 | 30 | 250macro,53micro | | 1 |
| Dataset | Participants | Resolution | FPS | Samples |
| --- | --- | --- | --- | --- |
| Polikovsky | 11 | 640×480 | 200 | 13 |
| USF-HD | N/A | 720×1280 | 29.7 | 100 |
| YorkDDT | 9 | 320×240 | 25 | 18 |
| CASME | 35 | 640×480,1280×720 | 60 | 195 |
| SMIC | 20 | 640×480 | 100and25 | 164 |
| CASMEII | 35 | 640×480 | 200 | 247 | | | kr-vs-kp | 0.31 | 0.33 | 6.87 | 6.21 | 0.43 | 0.04 | 0.03 | 0.07 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| madelon | 0.18 | 0.21 | 0.87 | 0.9448 | 3.07 | 0.4 | 0.03 | 1.53 |
| gisstee | 32,684 | 65,308 | 50,929 | 107,870 | 12.90 | 8.38 | 1.32 | 52 |
| spambase | 35 | 37 | 200 | 203 | 0.7648 | 0.09 | 0.06 | 0.24 |
| bankrupty | 112 | 95 | 296 | 239 | 2.06 | 0.31 | 0.11 | 1.27 | | 0 |
| rank-1 | rank-5 | rank-10 |
| --- | --- | --- |
| 57.3<br>68.1 | 80.1<br>88.1 | 88.3<br>94.6 | | | 43.3<br>67.2 | 63.5<br>86.2 | 76.8<br>92.3 |
| --- | --- | --- |
| 58.8<br>78.8 | 80.2<br>91.8 | 87.3<br>95.4 |
| 77.1<br>88.3 | 89.6<br>95.7 | 93.9<br>97.8 | | 1 |
| rank-1 | rank-5 | rank-10 |
| --- | --- | --- |
| 57.3<br>68.1 | 80.1<br>88.1 | 88.3<br>94.6 | | | rank-1 | rank-5 | rank-10 |
| --- | --- | --- |
| 11.7<br>19.9<br>24.3<br>46.3<br>52.2<br>54.7 | 33.3<br>49.3<br>-<br>78.9<br>84.3<br>80.1 | 48.0<br>64.7<br>-<br>88.6<br>94.8<br>88.3 |
| 35.8<br>59.8 | 65.3<br>88.3 | 77.96<br>94.2 |
| 49.1<br>71.8 | 78.4<br>93.0 | 87.2<br>97.1 |
| 71.5<br>83.4 | 91.5<br>97.1 | 95.9<br>98.7 | | 0 |
| rank-1 | rank-5 | rank-10 |
| --- | --- | --- |
| 57.3<br>68.1 | 80.1<br>88.1 | 88.3<br>94.6 |
| 43.3<br>67.2 | 63.5<br>86.2 | 76.8<br>92.3 | | | 58.8<br>78.8 | 80.2<br>91.8 | 87.3<br>95.4 |
| --- | --- | --- |
| 77.1<br>88.3 | 89.6<br>95.7 | 93.9<br>97.8 | | 1 |
| rank-1 | rank-5 | rank-10 |
| --- | --- | --- |
| 57.3<br>68.1 | 80.1<br>88.1 | 88.3<br>94.6 |
| 43.3<br>67.2 | 63.5<br>86.2 | 76.8<br>92.3 | | | 49.1<br>71.8 | 78.4<br>93.0 | 87.2<br>97.1 |
| --- | --- | --- |
| 71.5<br>83.4 | 91.5<br>97.1 | 95.9<br>98.7 | | 0 |
| Methods | Depth |
| --- | --- |
| HOG | 32.24 |
| SuperNormalVector | 31.82 |
| HON4D | 30.56 |
| LieGroup | 50.08 |
| SkeletalQuads | 38.62 |
| FTPDynamicSkeletons | 60.23 |
| HBRNN-L | 59.07 | | | 2LayerP-LSTM | 62.93 |
| --- | --- |
| ShuffleandLearn | 47.5 |
| Ourmethod(Unsupervisedtraining) | 66.2 | | 1 |
| Methods | Depth |
| --- | --- |
| HOG | 32.24 |
| SuperNormalVector | 31.82 |
| HON4D | 30.56 |
| LieGroup | 50.08 |
| SkeletalQuads | 38.62 |
| FTPDynamicSkeletons | 60.23 |
| HBRNN-L | 59.07 | | | Methods | Depth |
| --- | --- |
| DynamicTemporalWarping | 54.0 |
| ActionletEnsemble | 85.8 |
| HON4D | 85 |
| 3DTrajectories | 72 |
| Ourmethod(Unsupervisedtraining) | 86.9 | | 0 |
| Methods | Depth |
| --- | --- |
| HOG | 32.24 |
| SuperNormalVector | 31.82 |
| HON4D | 30.56 |
| LieGroup | 50.08 |
| SkeletalQuads | 38.62 | | | FTPDynamicSkeletons | 60.23 |
| --- | --- |
| HBRNN-L | 59.07 |
| 2LayerP-LSTM | 62.93 |
| ShuffleandLearn | 47.5 |
| Ourmethod(Unsupervisedtraining) | 66.2 | | 1 |
| Methods | Depth |
| --- | --- |
| HOG | 32.24 |
| SuperNormalVector | 31.82 |
| HON4D | 30.56 |
| LieGroup | 50.08 |
| SkeletalQuads | 38.62 | | | HON4D | 85 |
| --- | --- |
| 3DTrajectories | 72 |
| Ourmethod(Unsupervisedtraining) | 86.9 | | 0 |
| Command | ANumber | Comments |
| --- | --- | --- |
| \alignauthor | 100 | Authoralignment |
| \numberofauthors | 200 | Authorenumeration | | | \table | 300 | Fortables |
| --- | --- | --- |
| \table* | 400 | Forwidertables | | 1 |
| Command | ANumber | Comments |
| --- | --- | --- |
| \alignauthor | 100 | Authoralignment |
| \numberofauthors | 200 | Authorenumeration | | | Command | ANumber | Comments |
| --- | --- | --- |
| \alignauthor | 100 | Authoralignment |
| \numberofauthors | 200 | Authorenumeration |
| \table | 300 | Fortables |
| \table* | 400 | Forwidertables | | 0 |
| Command | ANumber | Comments |
| --- | --- | --- |
| \alignauthor | 100 | Authoralignment | | | \numberofauthors | 200 | Authorenumeration |
| --- | --- | --- |
| \table | 300 | Fortables |
| \table* | 400 | Forwidertables | | 1 |
| Command | ANumber | Comments |
| --- | --- | --- |
| \alignauthor | 100 | Authoralignment | | | \table | 300 | Fortables |
| --- | --- | --- |
| \table* | 400 | Forwidertables | | 0 |
| Layer | Input/FilterDimensions | |
| --- | --- | --- |
| Input | 512×512×1 | 512×512×1 |
| Conv1<br>MaxPooling | 8×7×7<br>2×2 | 8×7×7<br>2×2 |
| Conv2<br>MaxPooling | 16×5×5<br>2×2 | 16×5×5<br>2×2 | | | Conv3<br>MaxPooling | 64×3×3<br>2×2 |
| --- | --- |
| Conv4<br>MaxPooling | 64×3×3<br>2×2 |
| FC1 | 2048 |
| FC2 | 1024 | | 1 |
| Layer | Input/FilterDimensions | |
| --- | --- | --- |
| Input | 512×512×1 | 512×512×1 |
| Conv1<br>MaxPooling | 8×7×7<br>2×2 | 8×7×7<br>2×2 |
| Conv2<br>MaxPooling | 16×5×5<br>2×2 | 16×5×5<br>2×2 | | | Layer | Filter/Stride | Outputsize |
| --- | --- | --- |
| Input | – | 1×51×51 |
| Conv1<br>BatchNormalization<br>MaxPool | 3×3/1<br>–<br>2×2/2 | 32×49×49<br>32×49×49<br>32×25×25 |
| Conv2<br>BatchNormalization<br>MaxPool | 3×3/1<br>–<br>2×2/2 | 64×23×23<br>64×23×23<br>64×12×12 |
| Conv3<br>BatchNormalization<br>MaxPool | 3×3/1<br>–<br>2×2/2 | 128×10×10<br>128×10×10<br>128×5×5 |
| Conv4<br>BatchNormalization<br>MaxPool | 3×3/1<br>–<br>2×2/2 | 256×3×3<br>256×3×3<br>256×2×2 |
| Conv5<br>BatchNormalization | 2×2/1<br>– | 512×1×1<br>512×1×1 | | 0 |
| Layer | Input/FilterDimensions | |
| --- | --- | --- |
| Input | 512×512×1 | 512×512×1 |
| Conv1<br>MaxPooling | 8×7×7<br>2×2 | 8×7×7<br>2×2 |
| Conv2<br>MaxPooling | 16×5×5<br>2×2 | 16×5×5<br>2×2 |
| Conv3<br>MaxPooling | 64×3×3<br>2×2 | |
| Conv4<br>MaxPooling | 64×3×3<br>2×2 | | | | FC1 | 2048 |
| --- | --- |
| FC2 | 1024 | | 1 |
| Layer | Input/FilterDimensions | |
| --- | --- | --- |
| Input | 512×512×1 | 512×512×1 |
| Conv1<br>MaxPooling | 8×7×7<br>2×2 | 8×7×7<br>2×2 |
| Conv2<br>MaxPooling | 16×5×5<br>2×2 | 16×5×5<br>2×2 |
| Conv3<br>MaxPooling | 64×3×3<br>2×2 | |
| Conv4<br>MaxPooling | 64×3×3<br>2×2 | | | | Conv1<br>BatchNormalization<br>MaxPool | 3×3/1<br>–<br>2×2/2 | 32×49×49<br>32×49×49<br>32×25×25 |
| --- | --- | --- |
| Conv2<br>BatchNormalization<br>MaxPool | 3×3/1<br>–<br>2×2/2 | 64×23×23<br>64×23×23<br>64×12×12 |
| Conv3<br>BatchNormalization<br>MaxPool | 3×3/1<br>–<br>2×2/2 | 128×10×10<br>128×10×10<br>128×5×5 |
| Conv4<br>BatchNormalization<br>MaxPool | 3×3/1<br>–<br>2×2/2 | 256×3×3<br>256×3×3<br>256×2×2 |
| Conv5<br>BatchNormalization | 2×2/1<br>– | 512×1×1<br>512×1×1 | | 0 |
| identities | sequences | bboxes | #offrames | camsindoor | camsoutdoor |
| --- | --- | --- | --- | --- | --- |
| 3,772 | 14,943 | 2,989,436 | 200 | 3 | 12 | | | 1,261 | 20,715 | 1,067,516 | 58 | 0 | 6 |
| --- | --- | --- | --- | --- | --- |
| 200 | 400 | 40,033 | 100 | 0 | 2 |
| 300 | 600 | 42,460 | 73 | 2 | 0 | | 1 |
| identities | sequences | bboxes | #offrames | camsindoor | camsoutdoor |
| --- | --- | --- | --- | --- | --- |
| 3,772 | 14,943 | 2,989,436 | 200 | 3 | 12 | | | Imageandscheme | Horizontal | Vertical | Diagonal |
| --- | --- | --- | --- |
| PlainLena | 0.9481 | 0.9737 | 0.9244 |
| EncryptedLena | −0.0014 | 0.0025 | 0.0051 |
| PlainBaboon | 0.8701 | 0.8411 | 0.7889 |
| EncryptedBaboon | 0.0077 | −0.002 | −0.0039 |
| PlainCameraman | 0.9556 | 0.9738 | 0.934 |
| EncryptedCameraman | −5.84×10 | −0.0077 | 0.0015 |
| PlainPirate | 0.9434 | 0.9564 | 0.9134 |
| EncryptedPirate | −0.002 | 5.25×10 | −0.0048 | | 0 |
| identities | sequences | bboxes | #offrames | camsindoor | camsoutdoor |
| --- | --- | --- | --- | --- | --- |
| 3,772 | 14,943 | 2,989,436 | 200 | 3 | 12 |
| 1,261 | 20,715 | 1,067,516 | 58 | 0 | 6 | | | 200 | 400 | 40,033 | 100 | 0 | 2 |
| --- | --- | --- | --- | --- | --- |
| 300 | 600 | 42,460 | 73 | 2 | 0 | | 1 |
| identities | sequences | bboxes | #offrames | camsindoor | camsoutdoor |
| --- | --- | --- | --- | --- | --- |
| 3,772 | 14,943 | 2,989,436 | 200 | 3 | 12 |
| 1,261 | 20,715 | 1,067,516 | 58 | 0 | 6 | | | PlainPirate | 0.9434 | 0.9564 | 0.9134 |
| --- | --- | --- | --- |
| EncryptedPirate | −0.002 | 5.25×10 | −0.0048 | | 0 |
| Fold | Method | r1r2r3r4r5 |
| --- | --- | --- |
| 1 | SVD<br>@FEagle1<br>@FEagle2 | 1.581.040.560.440.86<br>1.110.760.690.611.02<br>1.030.750.710.630.99 |
| 2 | SVD<br>@FEagle1<br>@FEagle2 | 1.601.040.550.430.87<br>1.110.770.670.581.02<br>1.050.770.680.601.00 |
| 3 | SVD<br>@FEagle1<br>@FEagle2 | 1.650.990.550.450.89<br>1.200.740.660.601.02<br>1.150.740.660.640.98 |
| 4 | SVD<br>@FEagle1<br>@FEagle2 | 1.621.040.530.450.87<br>1.210.750.660.591.02<br>1.140.750.660.601.02 | | | 5 | SVD<br>@FEagle1<br>@FEagle2 | 1.651.030.550.440.89<br>1.190.760.660.631.03<br>1.160.750.670.641.01 |
| --- | --- | --- |
| Mean | U<br>C<br>SVD<br>@FEagle1<br>@FEagle2 | 2.01.41.21.42.0<br>2.531.651.000.891.47<br>1.621.030.550.440.88<br>1.160.760.670.601.02<br>1.110.750.680.621.00 | | 1 |
| Fold | Method | r1r2r3r4r5 |
| --- | --- | --- |
| 1 | SVD<br>@FEagle1<br>@FEagle2 | 1.581.040.560.440.86<br>1.110.760.690.611.02<br>1.030.750.710.630.99 |
| 2 | SVD<br>@FEagle1<br>@FEagle2 | 1.601.040.550.430.87<br>1.110.770.670.581.02<br>1.050.770.680.601.00 |
| 3 | SVD<br>@FEagle1<br>@FEagle2 | 1.650.990.550.450.89<br>1.200.740.660.601.02<br>1.150.740.660.640.98 |
| 4 | SVD<br>@FEagle1<br>@FEagle2 | 1.621.040.530.450.87<br>1.210.750.660.591.02<br>1.140.750.660.601.02 | | | #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 |
| Fold | Method | r1r2r3r4r5 |
| --- | --- | --- |
| 1 | SVD<br>@FEagle1<br>@FEagle2 | 1.581.040.560.440.86<br>1.110.760.690.611.02<br>1.030.750.710.630.99 | | | 2 | SVD<br>@FEagle1<br>@FEagle2 | 1.601.040.550.430.87<br>1.110.770.670.581.02<br>1.050.770.680.601.00 |
| --- | --- | --- |
| 3 | SVD<br>@FEagle1<br>@FEagle2 | 1.650.990.550.450.89<br>1.200.740.660.601.02<br>1.150.740.660.640.98 |
| 4 | SVD<br>@FEagle1<br>@FEagle2 | 1.621.040.530.450.87<br>1.210.750.660.591.02<br>1.140.750.660.601.02 |
| 5 | SVD<br>@FEagle1<br>@FEagle2 | 1.651.030.550.440.89<br>1.190.760.660.631.03<br>1.160.750.670.641.01 |
| Mean | U<br>C<br>SVD<br>@FEagle1<br>@FEagle2 | 2.01.41.21.42.0<br>2.531.651.000.891.47<br>1.621.030.550.440.88<br>1.160.760.670.601.02<br>1.110.750.680.621.00 | | 1 |
| Fold | Method | r1r2r3r4r5 |
| --- | --- | --- |
| 1 | SVD<br>@FEagle1<br>@FEagle2 | 1.581.040.560.440.86<br>1.110.760.690.611.02<br>1.030.750.710.630.99 | | | 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 |
| | Maxlength | Vocabulary | Classes | Documents | Test |
| --- | --- | --- | --- | --- | --- |
| MR | 64 | 18767 | 2 | 10662 | CV |
| SST-1 | 61 | 17838 | 5 | 11855 | | | | SST-2 | 61 | 16190 | 2 | 9613 | |
| --- | --- | --- | --- | --- | --- |
| Subj | 128 | 21324 | 2 | 10000 | CV |
| TREC | 45 | 8766 | 6 | 5952 | |
| CR | 113 | 5341 | 2 | 3775 | CV |
| MPQA | 44 | 6248 | 2 | 10606 | CV | | 1 |
| | Maxlength | Vocabulary | Classes | Documents | Test |
| --- | --- | --- | --- | --- | --- |
| MR | 64 | 18767 | 2 | 10662 | CV |
| SST-1 | 61 | 17838 | 5 | 11855 | | | | Test<br>Case | HAMPI | Kaluza | SUSHI | CVC4 | Rex | XData<br>solver |
| --- | --- | --- | --- | --- | --- | --- |
| S1 | 150 | 706 | 22 | 6 | 124 | 4 |
| S2 | 136 | 706 | 34 | 6 | 140 | 4 |
| S3 | 139 | 708 | 39 | 9 | 140 | 4 |
| S4 | - | 2444 | 175 | 17 | 168 | 15 |
| S5 | - | 671 | 160 | 19 | 156 | 14 |
| S6 | 137 | 380 | 54 | * | 256 | 4 |
| S7 | - | 653 | - | 20 | - | 11 |
| S8 | - | - | - | - | - | 23 |
| S9 | - | - | - | - | - | 11 |
| S10 | - | - | - | - | - | 30 | | 0 |
| | Maxlength | Vocabulary | Classes | Documents | Test |
| --- | --- | --- | --- | --- | --- |
| MR | 64 | 18767 | 2 | 10662 | CV |
| SST-1 | 61 | 17838 | 5 | 11855 | |
| SST-2 | 61 | 16190 | 2 | 9613 | |
| Subj | 128 | 21324 | 2 | 10000 | CV |
| TREC | 45 | 8766 | 6 | 5952 | | | | CR | 113 | 5341 | 2 | 3775 | CV |
| --- | --- | --- | --- | --- | --- |
| MPQA | 44 | 6248 | 2 | 10606 | CV | | 1 |
| | Maxlength | Vocabulary | Classes | Documents | Test |
| --- | --- | --- | --- | --- | --- |
| MR | 64 | 18767 | 2 | 10662 | CV |
| SST-1 | 61 | 17838 | 5 | 11855 | |
| SST-2 | 61 | 16190 | 2 | 9613 | |
| Subj | 128 | 21324 | 2 | 10000 | CV |
| TREC | 45 | 8766 | 6 | 5952 | | | | S4 | - | 2444 | 175 | 17 | 168 | 15 |
| --- | --- | --- | --- | --- | --- | --- |
| S5 | - | 671 | 160 | 19 | 156 | 14 |
| S6 | 137 | 380 | 54 | * | 256 | 4 |
| S7 | - | 653 | - | 20 | - | 11 |
| S8 | - | - | - | - | - | 23 |
| S9 | - | - | - | - | - | 11 |
| S10 | - | - | - | - | - | 30 | | 0 |
| Image | Sampling<br>Scheme | Under-<br>sampl. | Zero-<br>filling | Sparse<br>MRI | DL-<br>MRI | PBDWS | PANO | TL-<br>MRI | FRIST-<br>MRI | STROLLR-<br>MRI |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| a | 2DRandom | 5× | 26.9 | 27.9 | 30.5 | 30.3 | 30.4 | 30.6 | 30.7 | 32.4 |
| b | Cartesian | 2.5× | 28.1 | 31.7 | 37.5 | 42.5 | 40.0 | 40.7 | 40.9 | 44.0 |
| c | Cartesian | 2.5× | 24.9 | 29.9 | 36.6 | 35.8 | 34.8 | 36.3 | 36.7 | 40.9 |
| d | Cartesian | 4× | 28.9 | 29.7 | 32.7 | 31.7 | 32.7 | 32.8 | 33.0 | 35.2 | | | Cartesian | 7× | 27.9 | 28.6 | 30.9 | 31.1 | 31.1 | 31.2 | 31.4 | 32.8 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 2DRandom | 4× | 25.2 | 26.1 | 33.0 | 31.7 | 32.8 | 33.1 | 33.1 | 35.6 |
| 2DRandom | 7× | 25.3 | 26.4 | 31.7 | 31.1 | 30.9 | 31.9 | 32.1 | 33.3 | | 1 |
| Image | Sampling<br>Scheme | Under-<br>sampl. | Zero-<br>filling | Sparse<br>MRI | DL-<br>MRI | PBDWS | PANO | TL-<br>MRI | FRIST-<br>MRI | STROLLR-<br>MRI |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| a | 2DRandom | 5× | 26.9 | 27.9 | 30.5 | 30.3 | 30.4 | 30.6 | 30.7 | 32.4 |
| b | Cartesian | 2.5× | 28.1 | 31.7 | 37.5 | 42.5 | 40.0 | 40.7 | 40.9 | 44.0 |
| c | Cartesian | 2.5× | 24.9 | 29.9 | 36.6 | 35.8 | 34.8 | 36.3 | 36.7 | 40.9 |
| d | Cartesian | 4× | 28.9 | 29.7 | 32.7 | 31.7 | 32.7 | 32.8 | 33.0 | 35.2 | | | Algorithm | T.E.D. | C.R.W. | T.E.D.(upper) | C.R.W.(upper) |
| --- | --- | --- | --- | --- |
| Megvii-Image++ | 509.1 | 0.5782 | 377.9 | 0.6399 |
| MAPS | 1128.0 | 0.3293 | 1068.8 | 0.339 |
| NESP | 1164.6 | 0.3168 | 1094.9 | 0.3298 |
| DSM | 1178.8 | 0.2585 | 1109.1 | 0.2797 | | 0 |
| Image | Sampling<br>Scheme | Under-<br>sampl. | Zero-<br>filling | Sparse<br>MRI | DL-<br>MRI | PBDWS | PANO | TL-<br>MRI | FRIST-<br>MRI | STROLLR-<br>MRI |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| a | 2DRandom | 5× | 26.9 | 27.9 | 30.5 | 30.3 | 30.4 | 30.6 | 30.7 | 32.4 |
| b | Cartesian | 2.5× | 28.1 | 31.7 | 37.5 | 42.5 | 40.0 | 40.7 | 40.9 | 44.0 |
| c | Cartesian | 2.5× | 24.9 | 29.9 | 36.6 | 35.8 | 34.8 | 36.3 | 36.7 | 40.9 |
| d | Cartesian | 4× | 28.9 | 29.7 | 32.7 | 31.7 | 32.7 | 32.8 | 33.0 | 35.2 | | | Cartesian | 7× | 27.9 | 28.6 | 30.9 | 31.1 | 31.1 | 31.2 | 31.4 | 32.8 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 2DRandom | 4× | 25.2 | 26.1 | 33.0 | 31.7 | 32.8 | 33.1 | 33.1 | 35.6 |
| 2DRandom | 7× | 25.3 | 26.4 | 31.7 | 31.1 | 30.9 | 31.9 | 32.1 | 33.3 | | 1 |
| Image | Sampling<br>Scheme | Under-<br>sampl. | Zero-<br>filling | Sparse<br>MRI | DL-<br>MRI | PBDWS | PANO | TL-<br>MRI | FRIST-<br>MRI | STROLLR-<br>MRI |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| a | 2DRandom | 5× | 26.9 | 27.9 | 30.5 | 30.3 | 30.4 | 30.6 | 30.7 | 32.4 |
| b | Cartesian | 2.5× | 28.1 | 31.7 | 37.5 | 42.5 | 40.0 | 40.7 | 40.9 | 44.0 |
| c | Cartesian | 2.5× | 24.9 | 29.9 | 36.6 | 35.8 | 34.8 | 36.3 | 36.7 | 40.9 |
| d | Cartesian | 4× | 28.9 | 29.7 | 32.7 | 31.7 | 32.7 | 32.8 | 33.0 | 35.2 | | | NESP | 1164.6 | 0.3168 | 1094.9 | 0.3298 |
| --- | --- | --- | --- | --- |
| DSM | 1178.8 | 0.2585 | 1109.1 | 0.2797 | | 0 |
| | Oldenburg | Hanoi | Paris-zone1 | Singapore | SanJoaquin |
| --- | --- | --- | --- | --- | --- |
| Nodes | 6,105 | 27,213 | 42,494 | 54,674 | 52,528 |
| Edges | 7,029 | 31,562 | 63,722 | 74,053 | 57,284 |
| Width(km) | 23.57 | 11.97 | 18.87 | 33.65 | 22.97 |
| Height(km) | 26.92 | 12.48 | 10.20 | 16.14 | 20.19 | | | Area(km) | 634.44 | 149.40 | 192.47 | 543.11 | 463.76 |
| --- | --- | --- | --- | --- | --- |
| Totalstreetlength(km) | 1,301.70 | 1,531.64 | 4,344.18 | 5,856.25 | 2,853.83 | | 1 |
| | Oldenburg | Hanoi | Paris-zone1 | Singapore | SanJoaquin |
| --- | --- | --- | --- | --- | --- |
| Nodes | 6,105 | 27,213 | 42,494 | 54,674 | 52,528 |
| Edges | 7,029 | 31,562 | 63,722 | 74,053 | 57,284 |
| Width(km) | 23.57 | 11.97 | 18.87 | 33.65 | 22.97 |
| Height(km) | 26.92 | 12.48 | 10.20 | 16.14 | 20.19 | | | Dim. | ArenaSize | Obstacles | OMPLRRT | BoundedMotionPlan | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Time(s) | Nodes | NodesinPath | Time(s) | Bound | | | |
| 2 | 600×600 | 2 | 1.8 | 9500 | 60 | 1.3 | 4 |
| 2 | 6000×6000 | 3 | 23.5 | 11256 | 78 | 45.23 | 5 |
| 3 | 600×600 | 2 | 132.6 | 90408 | 71 | 120.3 | 5 |
| 3 | 6000×6000 | 3 | 1002.6 | 183412 | 93 | 953.4 | 5 | | 0 |
| | Oldenburg | Hanoi | Paris-zone1 | Singapore | SanJoaquin |
| --- | --- | --- | --- | --- | --- |
| Nodes | 6,105 | 27,213 | 42,494 | 54,674 | 52,528 | | | Edges | 7,029 | 31,562 | 63,722 | 74,053 | 57,284 |
| --- | --- | --- | --- | --- | --- |
| Width(km) | 23.57 | 11.97 | 18.87 | 33.65 | 22.97 |
| Height(km) | 26.92 | 12.48 | 10.20 | 16.14 | 20.19 |
| Area(km) | 634.44 | 149.40 | 192.47 | 543.11 | 463.76 |
| Totalstreetlength(km) | 1,301.70 | 1,531.64 | 4,344.18 | 5,856.25 | 2,853.83 | | 1 |
| | Oldenburg | Hanoi | Paris-zone1 | Singapore | SanJoaquin |
| --- | --- | --- | --- | --- | --- |
| Nodes | 6,105 | 27,213 | 42,494 | 54,674 | 52,528 | | | 2 | 600×600 | 2 | 1.8 | 9500 | 60 | 1.3 | 4 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 2 | 6000×6000 | 3 | 23.5 | 11256 | 78 | 45.23 | 5 |
| 3 | 600×600 | 2 | 132.6 | 90408 | 71 | 120.3 | 5 |
| 3 | 6000×6000 | 3 | 1002.6 | 183412 | 93 | 953.4 | 5 | | 0 |
| PABG | WABG | WRBG | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| CLPair | KS | Wilc. | Fried. | CLPair | KST | Wilc. | Fried. | CLPair | KST | Wilc. | Fried. |
| KNN-1CLOF | 6.8e-04 | 9.7e-01 | 4.4e-01 | KNN-1CLOF | 4.4e-08 | 4.5e-03 | 3.3e-01 | KNN-1CLOF | 6.7e-08 | 1.8e-02 | 8.7e-01 |
| LDA-1CLOF | 1.5e-03 | 6.7e-01 | 2.0e-01 | LDA-1CLOF | 9.3e-07 | 1.2e-01 | 6.2e-01 | LDA-1CLOF | 6.3e-07 | 1.3e-01 | 2.5e-01 |
| LR-1CLOF | 2.3e-03 | 6.4e-01 | 7.6e-01 | LR-1CLOF | 8.9e-06 | 7.2e-01 | 8.7e-01 | MLP-1CLOF | 1.1e-06 | 7.7e-01 | 1.3e-01 | | | MLP-1CLOF | 1.0e-03 | 8.9e-01 | 1.1e-01 | SVC-1CLOF | 9.5e-07 | 6.0e-03 | 4.6e-02 | SVC-1CLOF | 3.4e-06 | 6.5e-02 | 4.1e-01 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| KNN-1CSVM | 6.8e-04 | 5.1e-01 | 7.1e-02 | KNN-1CSVM | 9.8e-08 | 8.5e-02 | 1.0e+00 | KNN-1CSVM | 6.7e-08 | 5.8e-02 | 8.7e-01 |
| LDA-1CSVM | 2.4e-03 | 5.5e-01 | 2.0e-01 | LDA-1CSVM | 2.5e-06 | 4.0e-01 | 6.2e-01 | LDA-1CSVM | 6.3e-07 | 2.1e-01 | 6.2e-01 |
| LR-1CSVM | 2.3e-03 | 7.6e-01 | 1.3e-01 | LR-1CSVM | 8.9e-06 | 9.0e-01 | 4.0e-01 | MLP-1CSVM | 1.1e-06 | 8.7e-01 | 1.3e-01 |
| MLP-1CSVM | 1.0e-03 | 8.0e-01 | 1.1e-01 | SVC-1CSVM | 9.5e-07 | 5.9e-02 | 3.0e-01 | SVC-1CSVM | 3.4e-06 | 9.0e-02 | 8.7e-01 | | 1 |
| PABG | WABG | WRBG | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| CLPair | KS | Wilc. | Fried. | CLPair | KST | Wilc. | Fried. | CLPair | KST | Wilc. | Fried. |
| KNN-1CLOF | 6.8e-04 | 9.7e-01 | 4.4e-01 | KNN-1CLOF | 4.4e-08 | 4.5e-03 | 3.3e-01 | KNN-1CLOF | 6.7e-08 | 1.8e-02 | 8.7e-01 |
| LDA-1CLOF | 1.5e-03 | 6.7e-01 | 2.0e-01 | LDA-1CLOF | 9.3e-07 | 1.2e-01 | 6.2e-01 | LDA-1CLOF | 6.3e-07 | 1.3e-01 | 2.5e-01 |
| LR-1CLOF | 2.3e-03 | 6.4e-01 | 7.6e-01 | LR-1CLOF | 8.9e-06 | 7.2e-01 | 8.7e-01 | MLP-1CLOF | 1.1e-06 | 7.7e-01 | 1.3e-01 | | | n | k | O-MMR | C-MMR | DP-H | RI-GA | HI-GA | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| µ | σ | µ | σ | µ | σ | µ | σ | µ | σ | | |
| 25 | 5 | .398 | .070 | .380 | .066 | .398 | .069 | .448 | .061 | .464 | .056 |
| 10 | .759 | .044 | .767 | .050 | .759 | .045 | .705 | .048 | .767 | .044 | |
| 50 | 10 | .585 | .047 | .561 | .046 | .585 | .046 | .459 | .047 | .588 | .044 |
| 25 | .908 | .013 | .910 | .013 | .908 | .015 | .685 | .038 | .910 | .036 | |
| 100 | 25 | .832 | .019 | .829 | .024 | .831 | .020 | .445 | .043 | .831 | .019 |
| 50 | .950 | .006 | .950 | .006 | .941 | .006 | .559 | .030 | .950 | .006 | |
| 250 | 25 | .654 | .021 | .639 | .022 | .654 | .021 | .121 | .029 | .681 | .028 |
| 50 | .890 | .008 | .886 | .009 | .889 | .008 | .221 | .027 | .891 | .008 | |
| 100 | .969 | .002 | .970 | .002 | .969 | .002 | .348 | .022 | .970 | .022 | | | 0 |
| PABG | WABG | WRBG | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| CLPair | KS | Wilc. | Fried. | CLPair | KST | Wilc. | Fried. | CLPair | KST | Wilc. | Fried. |
| KNN-1CLOF | 6.8e-04 | 9.7e-01 | 4.4e-01 | KNN-1CLOF | 4.4e-08 | 4.5e-03 | 3.3e-01 | KNN-1CLOF | 6.7e-08 | 1.8e-02 | 8.7e-01 |
| LDA-1CLOF | 1.5e-03 | 6.7e-01 | 2.0e-01 | LDA-1CLOF | 9.3e-07 | 1.2e-01 | 6.2e-01 | LDA-1CLOF | 6.3e-07 | 1.3e-01 | 2.5e-01 |
| LR-1CLOF | 2.3e-03 | 6.4e-01 | 7.6e-01 | LR-1CLOF | 8.9e-06 | 7.2e-01 | 8.7e-01 | MLP-1CLOF | 1.1e-06 | 7.7e-01 | 1.3e-01 |
| MLP-1CLOF | 1.0e-03 | 8.9e-01 | 1.1e-01 | SVC-1CLOF | 9.5e-07 | 6.0e-03 | 4.6e-02 | SVC-1CLOF | 3.4e-06 | 6.5e-02 | 4.1e-01 | | | KNN-1CSVM | 6.8e-04 | 5.1e-01 | 7.1e-02 | KNN-1CSVM | 9.8e-08 | 8.5e-02 | 1.0e+00 | KNN-1CSVM | 6.7e-08 | 5.8e-02 | 8.7e-01 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| LDA-1CSVM | 2.4e-03 | 5.5e-01 | 2.0e-01 | LDA-1CSVM | 2.5e-06 | 4.0e-01 | 6.2e-01 | LDA-1CSVM | 6.3e-07 | 2.1e-01 | 6.2e-01 |
| LR-1CSVM | 2.3e-03 | 7.6e-01 | 1.3e-01 | LR-1CSVM | 8.9e-06 | 9.0e-01 | 4.0e-01 | MLP-1CSVM | 1.1e-06 | 8.7e-01 | 1.3e-01 |
| MLP-1CSVM | 1.0e-03 | 8.0e-01 | 1.1e-01 | SVC-1CSVM | 9.5e-07 | 5.9e-02 | 3.0e-01 | SVC-1CSVM | 3.4e-06 | 9.0e-02 | 8.7e-01 | | 1 |
| PABG | WABG | WRBG | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| CLPair | KS | Wilc. | Fried. | CLPair | KST | Wilc. | Fried. | CLPair | KST | Wilc. | Fried. |
| KNN-1CLOF | 6.8e-04 | 9.7e-01 | 4.4e-01 | KNN-1CLOF | 4.4e-08 | 4.5e-03 | 3.3e-01 | KNN-1CLOF | 6.7e-08 | 1.8e-02 | 8.7e-01 |
| LDA-1CLOF | 1.5e-03 | 6.7e-01 | 2.0e-01 | LDA-1CLOF | 9.3e-07 | 1.2e-01 | 6.2e-01 | LDA-1CLOF | 6.3e-07 | 1.3e-01 | 2.5e-01 |
| LR-1CLOF | 2.3e-03 | 6.4e-01 | 7.6e-01 | LR-1CLOF | 8.9e-06 | 7.2e-01 | 8.7e-01 | MLP-1CLOF | 1.1e-06 | 7.7e-01 | 1.3e-01 |
| MLP-1CLOF | 1.0e-03 | 8.9e-01 | 1.1e-01 | SVC-1CLOF | 9.5e-07 | 6.0e-03 | 4.6e-02 | SVC-1CLOF | 3.4e-06 | 6.5e-02 | 4.1e-01 | | | 25 | .908 | .013 | .910 | .013 | .908 | .015 | .685 | .038 | .910 | .036 | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 100 | 25 | .832 | .019 | .829 | .024 | .831 | .020 | .445 | .043 | .831 | .019 |
| 50 | .950 | .006 | .950 | .006 | .941 | .006 | .559 | .030 | .950 | .006 | |
| 250 | 25 | .654 | .021 | .639 | .022 | .654 | .021 | .121 | .029 | .681 | .028 |
| 50 | .890 | .008 | .886 | .009 | .889 | .008 | .221 | .027 | .891 | .008 | |
| 100 | .969 | .002 | .970 | .002 | .969 | .002 | .348 | .022 | .970 | .022 | | | 0 |
| Year | Acc. | Opt. | Base. | Opt.t | TN | TP | FN | FP | Total |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1999 | 0.5000 | 0.7500 | 0.7500 | 0 | 0 | 4 | 2 | 2 | 8 |
| 2000 | 0.6000 | 0.7000 | 0.7000 | 0 | 0 | 6 | 1 | 3 | 10 |
| 2001 | 0.5333 | 0.6667 | 0.5333 | 57 | 3 | 5 | 3 | 4 | 15 |
| 2003 | 0.2222 | 0.5556 | 0.5556 | 0 | 0 | 2 | 3 | 4 | 9 |
| 2004 | 0.6000 | 0.6000 | 0.5000 | 15 | 3 | 3 | 2 | 2 | 10 |
| 2005 | 0.6471 | 0.6471 | 0.5882 | 327 | 9 | 2 | 5 | 1 | 17 |
| 2006 | 0.2143 | 0.5714 | 0.5714 | 39 | 3 | 0 | 6 | 5 | 14 |
| 2007 | 0.2000 | 0.6000 | 0.6000 | 10 | 3 | 0 | 6 | 6 | 15 |
| 2008 | 0.5000 | 0.5714 | 0.5000 | 2775 | 6 | 1 | 6 | 1 | 14 |
| 2009 | 0.4545 | 0.5455 | 0.6364 | 382 | 5 | 0 | 4 | 2 | 11 |
| 2010 | 0.5714 | 0.6190 | 0.5714 | 326 | 11 | 1 | 8 | 1 | 21 |
| 2011 | 0.3889 | 0.6111 | 0.5556 | 1 | 2 | 5 | 5 | 6 | 18 |
| 2012 | 0.4118 | 0.6471 | 0.6471 | 41 | 7 | 0 | 6 | 4 | 17 |
| 2013 | 0.7895 | 0.8421 | 0.7895 | 823 | 14 | 1 | 3 | 1 | 19 |
| 2014 | 0.6154 | 0.6923 | 0.7692 | 123 | 8 | 0 | 3 | 2 | 13 | | | 2015 | 0.7273 | 0.8182 | 0.7273 | 1028 | 7 | 1 | 2 | 1 | 11 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 2016 | 0.5882 | 0.6471 | 0.5882 | 35 | 9 | 1 | 6 | 1 | 17 |
| All | 0.5105 | 0.6527 | - | - | 90 | 32 | 71 | 46 | 239 | | 1 |
| Year | Acc. | Opt. | Base. | Opt.t | TN | TP | FN | FP | Total |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1999 | 0.5000 | 0.7500 | 0.7500 | 0 | 0 | 4 | 2 | 2 | 8 |
| 2000 | 0.6000 | 0.7000 | 0.7000 | 0 | 0 | 6 | 1 | 3 | 10 |
| 2001 | 0.5333 | 0.6667 | 0.5333 | 57 | 3 | 5 | 3 | 4 | 15 |
| 2003 | 0.2222 | 0.5556 | 0.5556 | 0 | 0 | 2 | 3 | 4 | 9 |
| 2004 | 0.6000 | 0.6000 | 0.5000 | 15 | 3 | 3 | 2 | 2 | 10 |
| 2005 | 0.6471 | 0.6471 | 0.5882 | 327 | 9 | 2 | 5 | 1 | 17 |
| 2006 | 0.2143 | 0.5714 | 0.5714 | 39 | 3 | 0 | 6 | 5 | 14 |
| 2007 | 0.2000 | 0.6000 | 0.6000 | 10 | 3 | 0 | 6 | 6 | 15 |
| 2008 | 0.5000 | 0.5714 | 0.5000 | 2775 | 6 | 1 | 6 | 1 | 14 |
| 2009 | 0.4545 | 0.5455 | 0.6364 | 382 | 5 | 0 | 4 | 2 | 11 |
| 2010 | 0.5714 | 0.6190 | 0.5714 | 326 | 11 | 1 | 8 | 1 | 21 |
| 2011 | 0.3889 | 0.6111 | 0.5556 | 1 | 2 | 5 | 5 | 6 | 18 |
| 2012 | 0.4118 | 0.6471 | 0.6471 | 41 | 7 | 0 | 6 | 4 | 17 |
| 2013 | 0.7895 | 0.8421 | 0.7895 | 823 | 14 | 1 | 3 | 1 | 19 |
| 2014 | 0.6154 | 0.6923 | 0.7692 | 123 | 8 | 0 | 3 | 2 | 13 | | | Ent | ED | MI | | | |
| --- | --- | --- | --- | --- | --- |
| 15 | 2.872 | 15 | 0.860 | 11 | 0.077 |
| 9 | 2.760 | 10 | 0.835 | 10 | 0.116 |
| 2 | 2.619 | 11 | 0.814 | 7 | 0.219 |
| 3 | 2.600 | 9 | 0.805 | 5 | 0.219 |
| 6 | 2.510 | 3 | 0.796 | 8 | 0.220 |
| 13 | 2.510 | 2 | 0.794 | 6 | 0.221 |
| 5 | 2.506 | 7 | 0.766 | 4 | 0.221 |
| 4 | 2.506 | 8 | 0.764 | 1 | 0.223 |
| 7 | 2.505 | 6 | 0.763 | 2 | 0.225 |
| 8 | 2.505 | 5 | 0.763 | 3 | 0.225 |
| 1 | 2.504 | 4 | 0.753 | 9 | 0.241 |
| 12 | 2.454 | 12 | 0.742 | 15 | 0.248 |
| 10 | 1.962 | 1 | 0.700 | 12 | 0.717 |
| 11 | 1.614 | 13 | 0.535 | 13 | 1.085 | | 0 |
| Year | Acc. | Opt. | Base. | Opt.t | TN | TP | FN | FP | Total |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1999 | 0.5000 | 0.7500 | 0.7500 | 0 | 0 | 4 | 2 | 2 | 8 |
| 2000 | 0.6000 | 0.7000 | 0.7000 | 0 | 0 | 6 | 1 | 3 | 10 |
| 2001 | 0.5333 | 0.6667 | 0.5333 | 57 | 3 | 5 | 3 | 4 | 15 | | | 2003 | 0.2222 | 0.5556 | 0.5556 | 0 | 0 | 2 | 3 | 4 | 9 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 2004 | 0.6000 | 0.6000 | 0.5000 | 15 | 3 | 3 | 2 | 2 | 10 |
| 2005 | 0.6471 | 0.6471 | 0.5882 | 327 | 9 | 2 | 5 | 1 | 17 |
| 2006 | 0.2143 | 0.5714 | 0.5714 | 39 | 3 | 0 | 6 | 5 | 14 |
| 2007 | 0.2000 | 0.6000 | 0.6000 | 10 | 3 | 0 | 6 | 6 | 15 |
| 2008 | 0.5000 | 0.5714 | 0.5000 | 2775 | 6 | 1 | 6 | 1 | 14 |
| 2009 | 0.4545 | 0.5455 | 0.6364 | 382 | 5 | 0 | 4 | 2 | 11 |
| 2010 | 0.5714 | 0.6190 | 0.5714 | 326 | 11 | 1 | 8 | 1 | 21 |
| 2011 | 0.3889 | 0.6111 | 0.5556 | 1 | 2 | 5 | 5 | 6 | 18 |
| 2012 | 0.4118 | 0.6471 | 0.6471 | 41 | 7 | 0 | 6 | 4 | 17 |
| 2013 | 0.7895 | 0.8421 | 0.7895 | 823 | 14 | 1 | 3 | 1 | 19 |
| 2014 | 0.6154 | 0.6923 | 0.7692 | 123 | 8 | 0 | 3 | 2 | 13 |
| 2015 | 0.7273 | 0.8182 | 0.7273 | 1028 | 7 | 1 | 2 | 1 | 11 |
| 2016 | 0.5882 | 0.6471 | 0.5882 | 35 | 9 | 1 | 6 | 1 | 17 |
| All | 0.5105 | 0.6527 | - | - | 90 | 32 | 71 | 46 | 239 | | 1 |
| Year | Acc. | Opt. | Base. | Opt.t | TN | TP | FN | FP | Total |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1999 | 0.5000 | 0.7500 | 0.7500 | 0 | 0 | 4 | 2 | 2 | 8 |
| 2000 | 0.6000 | 0.7000 | 0.7000 | 0 | 0 | 6 | 1 | 3 | 10 |
| 2001 | 0.5333 | 0.6667 | 0.5333 | 57 | 3 | 5 | 3 | 4 | 15 | | | 13 | 2.510 | 2 | 0.794 | 6 | 0.221 |
| --- | --- | --- | --- | --- | --- |
| 5 | 2.506 | 7 | 0.766 | 4 | 0.221 |
| 4 | 2.506 | 8 | 0.764 | 1 | 0.223 |
| 7 | 2.505 | 6 | 0.763 | 2 | 0.225 |
| 8 | 2.505 | 5 | 0.763 | 3 | 0.225 |
| 1 | 2.504 | 4 | 0.753 | 9 | 0.241 |
| 12 | 2.454 | 12 | 0.742 | 15 | 0.248 |
| 10 | 1.962 | 1 | 0.700 | 12 | 0.717 |
| 11 | 1.614 | 13 | 0.535 | 13 | 1.085 | | 0 |
| Length | NN | FSIndex(kNN)<br>OverheadTime | FSIndex(range)<br>OverheadTime | Suffixarray<br>OverheadTime | mvp-tree<br>OverheadTime | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 6 | 1 | 15.0 | 0.1 | 9.9 | 0.1 | 20395.1 | 62.8 | 8377.6 | 4.8 |
| 6 | 10 | 12.1 | 0.2 | 7.1 | 0.1 | 3809.0 | 84.1 | 6614.3 | 38.8 | | | 9 | 1 | 1869.7 | 1.6 | 1303.6 | 1.3 | 73374.7 | 135.9 | 1021975.1 | 689.0 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 9 | 10 | 902.7 | 4.5 | 615.5 | 3.3 | 14975.5 | 188.5 | 214246.4 | 1491.4 | | 1 |
| Length | NN | FSIndex(kNN)<br>OverheadTime | FSIndex(range)<br>OverheadTime | Suffixarray<br>OverheadTime | mvp-tree<br>OverheadTime | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 6 | 1 | 15.0 | 0.1 | 9.9 | 0.1 | 20395.1 | 62.8 | 8377.6 | 4.8 |
| 6 | 10 | 12.1 | 0.2 | 7.1 | 0.1 | 3809.0 | 84.1 | 6614.3 | 38.8 | | | nqubits | ngates | Total<br>Time(s) | Timeper<br>Gate(s) |
| --- | --- | --- | --- |
| 29 | 435 | 116.6 | 0.27 |
| 30 | 465 | 141.6 | 0.30 |
| 31 | 496 | 167.9 | 0.34 |
| 32 | 528 | 200.9 | 0.38 |
| 33 | 561 | 245.0 | 0.44 |
| 34 | 595 | 297.4 | 0.50 |
| 35 | 630 | 339.7 | 0.54 |
| 36 | 666 | 445.4 | 0.67 |
| 37 | 703 | 540.2 | 0.77 |
| 38 | 741 | 643.8 | 0.87 |
| 39 | 780 | 766.1 | 0.98 |
| 40 | 820 | 997.2 | 1.22 | | 0 |
| Length | NN | FSIndex(kNN)<br>OverheadTime | FSIndex(range)<br>OverheadTime | Suffixarray<br>OverheadTime | mvp-tree<br>OverheadTime | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 6 | 1 | 15.0 | 0.1 | 9.9 | 0.1 | 20395.1 | 62.8 | 8377.6 | 4.8 | | | 6 | 10 | 12.1 | 0.2 | 7.1 | 0.1 | 3809.0 | 84.1 | 6614.3 | 38.8 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 9 | 1 | 1869.7 | 1.6 | 1303.6 | 1.3 | 73374.7 | 135.9 | 1021975.1 | 689.0 |
| 9 | 10 | 902.7 | 4.5 | 615.5 | 3.3 | 14975.5 | 188.5 | 214246.4 | 1491.4 | | 1 |
| Length | NN | FSIndex(kNN)<br>OverheadTime | FSIndex(range)<br>OverheadTime | Suffixarray<br>OverheadTime | mvp-tree<br>OverheadTime | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 6 | 1 | 15.0 | 0.1 | 9.9 | 0.1 | 20395.1 | 62.8 | 8377.6 | 4.8 | | | 31 | 496 | 167.9 | 0.34 |
| --- | --- | --- | --- |
| 32 | 528 | 200.9 | 0.38 |
| 33 | 561 | 245.0 | 0.44 |
| 34 | 595 | 297.4 | 0.50 |
| 35 | 630 | 339.7 | 0.54 |
| 36 | 666 | 445.4 | 0.67 |
| 37 | 703 | 540.2 | 0.77 |
| 38 | 741 | 643.8 | 0.87 |
| 39 | 780 | 766.1 | 0.98 |
| 40 | 820 | 997.2 | 1.22 | | 0 |
| Class | Chaos | Chaos(our) | D1 | D2 | D3 | DT1 | DT2 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| beach | 27 | 17 | 77 | 80 | 77 | 83 | 77 |
| c.street | 17 | 70 | 3 | 87 | 90 | 100 | 93 | | | elevator | 40 | 17 | 7 | 37 | 10 | 23 | 17 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| f.fire | 50 | 10 | 40 | 50 | 57 | 40 | 50 |
| fountain | 7 | 10 | 0 | 27 | 17 | 47 | 0 |
| highway | 17 | 17 | 77 | 47 | 53 | 33 | 60 |
| l.storm | 37 | 97 | 97 | 97 | 93 | 97 | 100 |
| ocean | 43 | 30 | 60 | 70 | 80 | 87 | 77 |
| railway | 3 | 17 | 60 | 57 | 23 | 40 | 60 |
| r.river | 3 | 87 | 60 | 90 | 83 | 87 | 77 |
| sky | 33 | 23 | 30 | 47 | 43 | 50 | 57 |
| snowing | 10 | 77 | 73 | 80 | 90 | 90 | 93 |
| waterfall | 10 | 17 | 50 | 37 | 30 | 37 | 37 |
| w.farm | 17 | 03 | 30 | 13 | 20 | 10 | 33 | | 1 |
| Class | Chaos | Chaos(our) | D1 | D2 | D3 | DT1 | DT2 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| beach | 27 | 17 | 77 | 80 | 77 | 83 | 77 |
| c.street | 17 | 70 | 3 | 87 | 90 | 100 | 93 | | | Class | mEAS | CorLoc | Class | mEAS | CorLoc |
| --- | --- | --- | --- | --- | --- |
| bus | 0.306 | 0.699 | car | 0.262 | 0.750 |
| tv | 0.254 | 0.582 | aero | 0.220 | 0.685 |
| mbike | 0.206 | 0.829 | train | 0.206 | 0.628 |
| horse | 0.195 | 0.672 | cow | 0.185 | 0.681 |
| boat | 0.177 | 0.343 | sheep | 0.176 | 0.719 |
| bike | 0.170 | 0.675 | bird | 0.170 | 0.567 |
| sofa | 0.165 | 0.620 | plant | 0.163 | 0.437 |
| person | 0.162 | 0.288 | bottle | 0.150 | 0.328 |
| cat | 0.143 | 0.457 | dog | 0.135 | 0.406 |
| chair | 0.093 | 0.171 | table | 0.052 | 0.305 | | 0 |
| Class | Chaos | Chaos(our) | D1 | D2 | D3 | DT1 | DT2 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| beach | 27 | 17 | 77 | 80 | 77 | 83 | 77 |
| c.street | 17 | 70 | 3 | 87 | 90 | 100 | 93 | | | elevator | 40 | 17 | 7 | 37 | 10 | 23 | 17 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| f.fire | 50 | 10 | 40 | 50 | 57 | 40 | 50 |
| fountain | 7 | 10 | 0 | 27 | 17 | 47 | 0 |
| highway | 17 | 17 | 77 | 47 | 53 | 33 | 60 |
| l.storm | 37 | 97 | 97 | 97 | 93 | 97 | 100 |
| ocean | 43 | 30 | 60 | 70 | 80 | 87 | 77 |
| railway | 3 | 17 | 60 | 57 | 23 | 40 | 60 |
| r.river | 3 | 87 | 60 | 90 | 83 | 87 | 77 |
| sky | 33 | 23 | 30 | 47 | 43 | 50 | 57 |
| snowing | 10 | 77 | 73 | 80 | 90 | 90 | 93 |
| waterfall | 10 | 17 | 50 | 37 | 30 | 37 | 37 |
| w.farm | 17 | 03 | 30 | 13 | 20 | 10 | 33 | | 1 |
| Class | Chaos | Chaos(our) | D1 | D2 | D3 | DT1 | DT2 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| beach | 27 | 17 | 77 | 80 | 77 | 83 | 77 |
| c.street | 17 | 70 | 3 | 87 | 90 | 100 | 93 | | | cat | 0.143 | 0.457 | dog | 0.135 | 0.406 |
| --- | --- | --- | --- | --- | --- |
| chair | 0.093 | 0.171 | table | 0.052 | 0.305 | | 0 |
| Functionalobject | Humanneed |
| --- | --- |
| Vendingmachine/Foodtruck/Table | Hunger |
| Waterfountain/Vendingmachine | Thirst |
| ATM/Bank | Money | | | Chair/Table/Bench/Grass | Rest |
| --- | --- |
| Newsstand/Adbillboard | Information |
| Trashcan | Hygiene |
| Bush/Tree | Shadefromthesun | | 1 |
| Functionalobject | Humanneed |
| --- | --- |
| Vendingmachine/Foodtruck/Table | Hunger |
| Waterfountain/Vendingmachine | Thirst |
| ATM/Bank | Money | | | PASCALVOC | COCO |
| --- | --- |
| aeroplane | airplane |
| bike | bicycle |
| bird | bird |
| boat | boat |
| bottle | bottle |
| bus | bus |
| car | car |
| cat | cat |
| chair | chair |
| cow | cow |
| diningtable | diningtable |
| dog | dog |
| horse | horse |
| motorbike | motorcycle |
| person | person |
| pottedplant | pottedplant |
| sheep | sheep |
| sofa | couch |
| train | train |
| tv | tv | | 0 |
| Functionalobject | Humanneed |
| --- | --- |
| Vendingmachine/Foodtruck/Table | Hunger | | | Waterfountain/Vendingmachine | Thirst |
| --- | --- |
| ATM/Bank | Money |
| Chair/Table/Bench/Grass | Rest |
| Newsstand/Adbillboard | Information |
| Trashcan | Hygiene |
| Bush/Tree | Shadefromthesun | | 1 |
| Functionalobject | Humanneed |
| --- | --- |
| Vendingmachine/Foodtruck/Table | Hunger | | | sofa | couch |
| --- | --- |
| train | train |
| tv | tv | | 0 |
| | Training |
| --- | --- |
| Model | PrecisionRecallAccuracyF1 |
| LogisticRegression | 0.95640.94400.97860.9501 |
| RandomForest | 0.99890.69880.95010.8086 |
| Feed-ForwardNN | 0.77680.50410.88790.5763 | | | Conv1D | 0.83120.67130.91650.7371 |
| --- | --- |
| LSTMRNN | 0.81060.69710.91540.7445 |
| GRURNN | 0.79360.69710.91260.7397 | | 1 |
| | Training |
| --- | --- |
| Model | PrecisionRecallAccuracyF1 |
| LogisticRegression | 0.95640.94400.97860.9501 |
| RandomForest | 0.99890.69880.95010.8086 |
| Feed-ForwardNN | 0.77680.50410.88790.5763 | | | | Training |
| --- | --- |
| Model | PrecisionRecallAccuracyF1 |
| LogisticRegression | 0.95640.94400.97860.9501 |
| RandomForest | 0.99460.49370.91100.6305 |
| Feed-ForwardNN | 0.93470.80370.95800.8589 |
| Conv1D | 0.77080.46730.88580.5377 |
| LSTMRNN | 0.62040.38290.88050.4348 |
| GRURNN | 0.83510.64740.91680.7181 | | 0 |
| | Training |
| --- | --- |
| Model | PrecisionRecallAccuracyF1 |
| LogisticRegression | 0.95640.94400.97860.9501 |
| RandomForest | 0.99890.69880.95010.8086 |
| Feed-ForwardNN | 0.77680.50410.88790.5763 |
| Conv1D | 0.83120.67130.91650.7371 | | | LSTMRNN | 0.81060.69710.91540.7445 |
| --- | --- |
| GRURNN | 0.79360.69710.91260.7397 | | 1 |
| | Training |
| --- | --- |
| Model | PrecisionRecallAccuracyF1 |
| LogisticRegression | 0.95640.94400.97860.9501 |
| RandomForest | 0.99890.69880.95010.8086 |
| Feed-ForwardNN | 0.77680.50410.88790.5763 |
| Conv1D | 0.83120.67130.91650.7371 | | | LSTMRNN | 0.62040.38290.88050.4348 |
| --- | --- |
| GRURNN | 0.83510.64740.91680.7181 | | 0 |
| | BL | SL | SR | BH | SH | Ins |
| --- | --- | --- | --- | --- | --- | --- |
| BL | 19 | 3 | 1 | - | - | 9 |
| SL | 3 | 25 | - | - | - | 12 | | | SR | 1 | 2 | 31 | - | 1 | 26 |
| --- | --- | --- | --- | --- | --- | --- |
| BH | 1 | - | - | 20 | 2 | 15 |
| SH | - | - | - | 1 | 23 | 28 |
| Del | 1 | 1 | - | - | - | - |
| Total | 25 | 31 | 32 | 21 | 26 | 90 | | 1 |
| | BL | SL | SR | BH | SH | Ins |
| --- | --- | --- | --- | --- | --- | --- |
| BL | 19 | 3 | 1 | - | - | 9 |
| SL | 3 | 25 | - | - | - | 12 | | | | BL | SL | SR | BH | SH | Ins |
| --- | --- | --- | --- | --- | --- | --- |
| BL | 15 | 4 | - | 6 | 1 | 1 |
| SL | 2 | 17 | 1 | - | 9 | 15 |
| SR | 2 | 1 | 27 | 1 | 5 | 8 |
| BH | 5 | - | - | 14 | 2 | 6 |
| SH | - | 7 | 4 | - | 9 | 12 |
| Del | 1 | 2 | - | - | - | - |
| Total | 25 | 31 | 32 | 21 | 26 | 42 | | 0 |
| | BL | SL | SR | BH | SH | Ins |
| --- | --- | --- | --- | --- | --- | --- |
| BL | 19 | 3 | 1 | - | - | 9 |
| SL | 3 | 25 | - | - | - | 12 |
| SR | 1 | 2 | 31 | - | 1 | 26 |
| BH | 1 | - | - | 20 | 2 | 15 | | | SH | - | - | - | 1 | 23 | 28 |
| --- | --- | --- | --- | --- | --- | --- |
| Del | 1 | 1 | - | - | - | - |
| Total | 25 | 31 | 32 | 21 | 26 | 90 | | 1 |
| | BL | SL | SR | BH | SH | Ins |
| --- | --- | --- | --- | --- | --- | --- |
| BL | 19 | 3 | 1 | - | - | 9 |
| SL | 3 | 25 | - | - | - | 12 |
| SR | 1 | 2 | 31 | - | 1 | 26 |
| BH | 1 | - | - | 20 | 2 | 15 | | | Del | 1 | 2 | - | - | - | - |
| --- | --- | --- | --- | --- | --- | --- |
| Total | 25 | 31 | 32 | 21 | 26 | 42 | | 0 |
| Parametername | Parametervalue |
| --- | --- |
| α1 | 9 |
| α2 | 7 |
| β1 | 4 |
| β2 | 28 |
| ml | 6 |
| N | 300 |
| M | 5 | | | L | 4 |
| --- | --- |
| #rounds | 100 |
| #simulationruns | 10 | | 1 |
| Parametername | Parametervalue |
| --- | --- |
| α1 | 9 |
| α2 | 7 |
| β1 | 4 |
| β2 | 28 |
| ml | 6 |
| N | 300 |
| M | 5 | | | ParameterName | ParameterDescritption | ParameterValue |
| --- | --- | --- |
| α | LearningRate | 0.001 |
| β | RegularizationControl | 0.02 |
| NEP | NumberofEpochs | 5000 |
| U | NumberofSamples | 604 |
| V | NumberofSNPs | 1980 |
| F | NumberofFeatures | 400 |
| eta1 | etaforTrait1 | 0.2 |
| eta2 | etaforTrait2 | 0.2 |
| K1 | KforTrait1 | 3 |
| K2 | KforTrait2 | 4 |
| [a,b] | BoundaryvaluesforPandQ | [0,1] | | 0 |
| Parametername | Parametervalue |
| --- | --- |
| α1 | 9 | | | α2 | 7 |
| --- | --- |
| β1 | 4 |
| β2 | 28 |
| ml | 6 |
| N | 300 |
| M | 5 |
| L | 4 |
| #rounds | 100 |
| #simulationruns | 10 | | 1 |
| Parametername | Parametervalue |
| --- | --- |
| α1 | 9 | | | U | NumberofSamples | 604 |
| --- | --- | --- |
| V | NumberofSNPs | 1980 |
| F | NumberofFeatures | 400 |
| eta1 | etaforTrait1 | 0.2 |
| eta2 | etaforTrait2 | 0.2 |
| K1 | KforTrait1 | 3 |
| K2 | KforTrait2 | 4 |
| [a,b] | BoundaryvaluesforPandQ | [0,1] | | 0 |
| | HKU-IS | ECSSD | PASCAL-S |
| --- | --- | --- | --- |
| RGB | 0.7061 | 0.7240 | 0.5406 |
| RGB+dist | 0.7266 | 0.7493 | 0.5619 | | | RGB+coord | 0.7235 | 0.7368 | 0.5517 |
| --- | --- | --- | --- |
| RGB+dist+coord | 0.7167 | 0.7352 | 0.5541 | | 1 |
| | HKU-IS | ECSSD | PASCAL-S |
| --- | --- | --- | --- |
| RGB | 0.7061 | 0.7240 | 0.5406 |
| RGB+dist | 0.7266 | 0.7493 | 0.5619 | | | | HKU-IS | ECSSD | PASCAL-S |
| --- | --- | --- | --- |
| RGB | 0.6832 | 0.7018 | 0.5261 |
| RGB+dist | 0.7228 | 0.7445 | 0.5611 |
| RGB+coord | 0.7213 | 0.7342 | 0.5507 |
| RGB+dist+coord | 0.7155 | 0.7344 | 0.5528 | | 0 |
| | HKU-IS | ECSSD | PASCAL-S |
| --- | --- | --- | --- |
| RGB | 0.7061 | 0.7240 | 0.5406 | | | RGB+dist | 0.7266 | 0.7493 | 0.5619 |
| --- | --- | --- | --- |
| RGB+coord | 0.7235 | 0.7368 | 0.5517 |
| RGB+dist+coord | 0.7167 | 0.7352 | 0.5541 | | 1 |
| | HKU-IS | ECSSD | PASCAL-S |
| --- | --- | --- | --- |
| RGB | 0.7061 | 0.7240 | 0.5406 | | | RGB+dist | 0.7228 | 0.7445 | 0.5611 |
| --- | --- | --- | --- |
| RGB+coord | 0.7213 | 0.7342 | 0.5507 |
| RGB+dist+coord | 0.7155 | 0.7344 | 0.5528 | | 0 |
| -classe1800(attendus=169,ramenes=78.00,corrects=3.00)<br>rappel=0.018precision=0.038f-mesure=0.024 |
| --- |
| -classe1810(attendus=169,ramenes=92.00,corrects=19.00)<br>rappel=0.112precision=0.207f-mesure=0.146 |
| -classe1820(attendus=169,ramenes=225.00,corrects=28.00)<br>rappel=0.166precision=0.124f-mesure=0.142 |
| -classe1830(attendus=169,ramenes=527.00,corrects=49.00)<br>rappel=0.290precision=0.093f-mesure=0.141 | | | -classe1840(attendus=169,ramenes=85.00,corrects=6.00)<br>rappel=0.036precision=0.071f-mesure=0.047 |
| --- |
| -classe1850(attendus=169,ramenes=142.00,corrects=8.00)<br>rappel=0.047precision=0.056f-mesure=0.051 |
| -classe1860(attendus=170,ramenes=95.00,corrects=6.00)<br>rappel=0.035precision=0.063f-mesure=0.045 |
| -classe1870(attendus=169,ramenes=89.00,corrects=9.00)<br>rappel=0.053precision=0.101f-mesure=0.070 |
| -classe1880(attendus=169,ramenes=147.00,corrects=14.00)<br>rappel=0.083precision=0.095f-mesure=0.089 |
| -classe1890(attendus=197,ramenes=107.00,corrects=10.00)<br>rappel=0.051precision=0.093f-mesure=0.066 |
| -classe1900(attendus=203,ramenes=319.00,corrects=23.00)<br>rappel=0.113precision=0.072f-mesure=0.088 |
| -classe1910(attendus=201,ramenes=89.00,corrects=5.00)<br>rappel=0.025precision=0.056f-mesure=0.034 |
| -classe1920(attendus=200,ramenes=166.00,corrects=13.00)<br>rappel=0.065precision=0.078f-mesure=0.071 |
| -classe1930(attendus=200,ramenes=102.00,corrects=10.00)<br>rappel=0.050precision=0.098f-mesure=0.066 |
| -classe1940(attendus=198,ramenes=458.00,corrects=62.00)<br>rappel=0.313precision=0.135f-mesure=0.189 |
| -surl’ensembledes15classes<br>macrorappel=0.097macroprecision=0.092macroF-mesure=0.095 | | 1 |
| -classe1800(attendus=169,ramenes=78.00,corrects=3.00)<br>rappel=0.018precision=0.038f-mesure=0.024 |
| --- |
| -classe1810(attendus=169,ramenes=92.00,corrects=19.00)<br>rappel=0.112precision=0.207f-mesure=0.146 |
| -classe1820(attendus=169,ramenes=225.00,corrects=28.00)<br>rappel=0.166precision=0.124f-mesure=0.142 |
| -classe1830(attendus=169,ramenes=527.00,corrects=49.00)<br>rappel=0.290precision=0.093f-mesure=0.141 | | | -classe1800(attendus=169,ramenes=78.00,corrects=3.00)<br>rappel=0.018precision=0.038f-mesure=0.024 |
| --- |
| -classe1810(attendus=169,ramenes=92.00,corrects=19.00)<br>rappel=0.112precision=0.207f-mesure=0.146 |
| -classe1820(attendus=169,ramenes=225.00,corrects=28.00)<br>rappel=0.166precision=0.124f-mesure=0.142 |
| -classe1830(attendus=169,ramenes=527.00,corrects=49.00)<br>rappel=0.290precision=0.093f-mesure=0.141 |
| -classe1840(attendus=169,ramenes=85.00,corrects=6.00)<br>rappel=0.036precision=0.071f-mesure=0.047 |
| -classe1850(attendus=169,ramenes=142.00,corrects=8.00)<br>rappel=0.047precision=0.056f-mesure=0.051 |
| -classe1860(attendus=170,ramenes=95.00,corrects=6.00)<br>rappel=0.035precision=0.063f-mesure=0.045 |
| -classe1870(attendus=169,ramenes=89.00,corrects=9.00)<br>rappel=0.053precision=0.101f-mesure=0.070 |
| -classe1880(attendus=169,ramenes=147.00,corrects=14.00)<br>rappel=0.083precision=0.095f-mesure=0.089 |
| -classe1890(attendus=197,ramenes=107.00,corrects=10.00)<br>rappel=0.051precision=0.093f-mesure=0.066 |
| -classe1900(attendus=203,ramenes=319.00,corrects=23.00)<br>rappel=0.113precision=0.072f-mesure=0.088 |
| -classe1910(attendus=201,ramenes=89.00,corrects=5.00)<br>rappel=0.025precision=0.056f-mesure=0.034 |
| -classe1920(attendus=200,ramenes=166.00,corrects=13.00)<br>rappel=0.065precision=0.078f-mesure=0.071 |
| -classe1930(attendus=200,ramenes=102.00,corrects=10.00)<br>rappel=0.050precision=0.098f-mesure=0.066 |
| -classe1940(attendus=198,ramenes=458.00,corrects=62.00)<br>rappel=0.313precision=0.135f-mesure=0.189 |
| -surl’ensembledes15classes<br>macrorappel=0.097macroprecision=0.092macroF-mesure=0.095 | | 0 |
| -classe1800(attendus=169,ramenes=78.00,corrects=3.00)<br>rappel=0.018precision=0.038f-mesure=0.024 |
| --- |
| -classe1810(attendus=169,ramenes=92.00,corrects=19.00)<br>rappel=0.112precision=0.207f-mesure=0.146 |
| -classe1820(attendus=169,ramenes=225.00,corrects=28.00)<br>rappel=0.166precision=0.124f-mesure=0.142 |
| -classe1830(attendus=169,ramenes=527.00,corrects=49.00)<br>rappel=0.290precision=0.093f-mesure=0.141 | | | -classe1840(attendus=169,ramenes=85.00,corrects=6.00)<br>rappel=0.036precision=0.071f-mesure=0.047 |
| --- |
| -classe1850(attendus=169,ramenes=142.00,corrects=8.00)<br>rappel=0.047precision=0.056f-mesure=0.051 |
| -classe1860(attendus=170,ramenes=95.00,corrects=6.00)<br>rappel=0.035precision=0.063f-mesure=0.045 |
| -classe1870(attendus=169,ramenes=89.00,corrects=9.00)<br>rappel=0.053precision=0.101f-mesure=0.070 |
| -classe1880(attendus=169,ramenes=147.00,corrects=14.00)<br>rappel=0.083precision=0.095f-mesure=0.089 |
| -classe1890(attendus=197,ramenes=107.00,corrects=10.00)<br>rappel=0.051precision=0.093f-mesure=0.066 |
| -classe1900(attendus=203,ramenes=319.00,corrects=23.00)<br>rappel=0.113precision=0.072f-mesure=0.088 |
| -classe1910(attendus=201,ramenes=89.00,corrects=5.00)<br>rappel=0.025precision=0.056f-mesure=0.034 |
| -classe1920(attendus=200,ramenes=166.00,corrects=13.00)<br>rappel=0.065precision=0.078f-mesure=0.071 |
| -classe1930(attendus=200,ramenes=102.00,corrects=10.00)<br>rappel=0.050precision=0.098f-mesure=0.066 |
| -classe1940(attendus=198,ramenes=458.00,corrects=62.00)<br>rappel=0.313precision=0.135f-mesure=0.189 |
| -surl’ensembledes15classes<br>macrorappel=0.097macroprecision=0.092macroF-mesure=0.095 | | 1 |
| -classe1800(attendus=169,ramenes=78.00,corrects=3.00)<br>rappel=0.018precision=0.038f-mesure=0.024 |
| --- |
| -classe1810(attendus=169,ramenes=92.00,corrects=19.00)<br>rappel=0.112precision=0.207f-mesure=0.146 |
| -classe1820(attendus=169,ramenes=225.00,corrects=28.00)<br>rappel=0.166precision=0.124f-mesure=0.142 |
| -classe1830(attendus=169,ramenes=527.00,corrects=49.00)<br>rappel=0.290precision=0.093f-mesure=0.141 | | | -classe1940(attendus=198,ramenes=458.00,corrects=62.00)<br>rappel=0.313precision=0.135f-mesure=0.189 |
| --- |
| -surl’ensembledes15classes<br>macrorappel=0.097macroprecision=0.092macroF-mesure=0.095 | | 0 |
| CellID/Tech | Type | Charging |
| --- | --- | --- |
| A1/2G | Network | - | | | A2/4G | Network | - |
| --- | --- | --- |
| A1/2G | CDR | Prepaid |
| A2/4G | CDR | Postpaid | | 1 |
| CellID/Tech | Type | Charging |
| --- | --- | --- |
| A1/2G | Network | - | | | Net | ISPA |
| --- | --- |
| A<br>B | 55.50<br>31.00 |
| A<br>B | 61.00<br>52.00 |
| A<br>B | 66.50<br>73.00 |
| A<br>B | 72.00<br>87.37 | | 0 |
| CellID/Tech | Type | Charging |
| --- | --- | --- |
| A1/2G | Network | - |
| A2/4G | Network | - | | | A1/2G | CDR | Prepaid |
| --- | --- | --- |
| A2/4G | CDR | Postpaid | | 1 |
| CellID/Tech | Type | Charging |
| --- | --- | --- |
| A1/2G | Network | - |
| A2/4G | Network | - | | | A<br>B | 66.50<br>73.00 |
| --- | --- |
| A<br>B | 72.00<br>87.37 | | 0 |
| i | distribution | AIC/M |
| --- | --- | --- |
| 1 | Power-Law | 15.972 |
| 2 | ShiftedPower-Law | 15.782 |
| 3 | Power-LawwithExponentialcutoff(tail) | 15.662 | | | 4 | Power-LawwithExponentialcutoff(beginning) | 15.821 |
| --- | --- | --- |
| 5 | Log-normal | 15.574 |
| 6 | Weibull | 17.740 |
| 7 | DoublePower-Law | 15.525 | | 1 |
| i | distribution | AIC/M |
| --- | --- | --- |
| 1 | Power-Law | 15.972 |
| 2 | ShiftedPower-Law | 15.782 |
| 3 | Power-LawwithExponentialcutoff(tail) | 15.662 | | | parameter | value | parameter | value | parameter | value |
| --- | --- | --- | --- | --- | --- |
| Ron | 10 | Roff | 1 | vc | 1 |
| α | 60 | C | 10 | k | ∞ |
| Vt | 0 | γ | 60 | q | 10 |
| m0 | −400 | m1 | 400 | imin | 10 |
| imax | 20 | ki | 10 | ks | 10 |
| δs | 0 | δi | 0 | | | | 0 |
| i | distribution | AIC/M |
| --- | --- | --- |
| 1 | Power-Law | 15.972 |
| 2 | ShiftedPower-Law | 15.782 |
| 3 | Power-LawwithExponentialcutoff(tail) | 15.662 |
| 4 | Power-LawwithExponentialcutoff(beginning) | 15.821 | | | 5 | Log-normal | 15.574 |
| --- | --- | --- |
| 6 | Weibull | 17.740 |
| 7 | DoublePower-Law | 15.525 | | 1 |
| i | distribution | AIC/M |
| --- | --- | --- |
| 1 | Power-Law | 15.972 |
| 2 | ShiftedPower-Law | 15.782 |
| 3 | Power-LawwithExponentialcutoff(tail) | 15.662 |
| 4 | Power-LawwithExponentialcutoff(beginning) | 15.821 | | | m0 | −400 | m1 | 400 | imin | 10 |
| --- | --- | --- | --- | --- | --- |
| imax | 20 | ki | 10 | ks | 10 |
| δs | 0 | δi | 0 | | | | 0 |
| Emotion | Frequency |
| --- | --- |
| Amusement | 5 |
| Sadness | 6 |
| Disgust | 88 |
| Surprise | 20 |
| Contempt | 3 |
| Fear | 2 | | | Repression | 40 |
| --- | --- |
| Tense | 28 | | 1 |
| Emotion | Frequency |
| --- | --- |
| Amusement | 5 |
| Sadness | 6 |
| Disgust | 88 |
| Surprise | 20 |
| Contempt | 3 |
| Fear | 2 | | | Emotion | Frequency |
| --- | --- |
| Happiness | 33 |
| Disgust | 60 |
| Surprise | 25 |
| Repression | 27 |
| Others | 102 | | 0 |
| Emotion | Frequency |
| --- | --- |
| Amusement | 5 |
| Sadness | 6 | | | Disgust | 88 |
| --- | --- |
| Surprise | 20 |
| Contempt | 3 |
| Fear | 2 |
| Repression | 40 |
| Tense | 28 | | 1 |
| Emotion | Frequency |
| --- | --- |
| Amusement | 5 |
| Sadness | 6 | | | Disgust | 60 |
| --- | --- |
| Surprise | 25 |
| Repression | 27 |
| Others | 102 | | 0 |
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