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The average AUC achieved by different feature representations.
| Method | One-layer random forest |
Proposed hierarchical classification |
|---|---|---|
| Intensity features | 0.698 | 0.743 |
| Haar-like features | 0.811 | 0.826 |
| LBP features | 0.742 | 0.763 |
| HOG features | 0.753 | 0.784 |
| Proposed high-level features | 0.805 | 0.817 |
