Research Article
Kernel Negative ε Dragging Linear Regression for Pattern Classification
Table 3
Accuracies (%) of different methods on the LFW database.
| Number of training samples per class | 6 | 7 | 8 | 9 | 10 |
| Our method | 35.95 | 38.00 | 39.13 | 40.27 | 41.10 | DLSR | 14.46 | 14.92 | 14.58 | 15.43 | 14.68 | CLSR | 34.45 | 35.93 | 35.15 | 36.65 | 35.27 | NNLS | 33.86 | 36.58 | 36.04 | 36.69 | 37.31 | -SVM | 32.88 | 34.76 | 35.70 | 36.52 | 38.59 | KNN | 20.34 | 21.28 | 21.12 | 21.26 | 21.53 | SRC | 34.15 | 36.70 | 38.06 | 39.31 | 39.00 | LRC | 32.12 | 35.16 | 34.78 | 36.50 | 40.05 | NDLR | 35.22 | 37.49 | 38.40 | 39.29 | 40.69 |
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