Yale B
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Subspace Clustering | Extended Yale B | Clustering Accuracy99.45 | 29 | |
| Subspace Clustering | Extended Yale B 10 subjects | Clustering Error1.09 | 26 | |
| Subspace Clustering | Yale-B | ACC97.1 | 21 | |
| Image Reconstruction | Yale B (test) | Relative Error5.5 | 18 | |
| Image Reconstruction | Yale B (train) | Relative Error2.3 | 18 | |
| Subspace Clustering | Extended Yale B (2 Subjects) | Mean Clustering Error0 | 18 | |
| Subspace Clustering | Extended Yale B 8 Subjects | Mean Clustering Error0 | 12 | |
| Subspace Clustering | Extended Yale B (5 Subjects) | Mean Clustering Error0 | 12 | |
| Face Clustering | Extended Yale B | Mean AMI0.576 | 10 | |
| Image Clustering | Yale-B | NMI0.91 | 10 | |
| Agglomerative Clustering | Yale-B | Time cost (s)0.564 | 6 | |
| Subspace Clustering | Extended Yale B 10 subjects | Average Computational Time (sec)96.9 | 5 | |
| Subspace Clustering | Extended Yale B 8 subjects | Average Computational Time (s)16.3 | 5 | |
| Face image shadow removal | Extended Yale B database | Rank(L)1 | 4 | |
| Circle packing | ExtYaleB | Running Time (s)0.018 | 4 |
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