Research Article
Kernel Negative ε Dragging Linear Regression for Pattern Classification
Table 4
Accuracies (%) of different methods on the AR database.
| Number of training samples per class | 1 | 2 | 3 | 4 | 5 |
| Our method | 64.69 | 75.87 | 83.74 | 90.46 | 95.12 | DLSR | 56.83 | 70.01 | 78.34 | 85.89 | 91.37 | CLSR | 59.73 | 74.00 | 82.55 | 89.05 | 93.89 | NNLS | 59.93 | 67.08 | 78.03 | 85.09 | 92.90 | -SVM | 58.95 | 66.39 | 74.56 | 83.64 | 91.69 | KNN | 58.95 | 61.45 | 68.88 | 75.37 | 84.03 | SRC | 61.81 | 74.36 | 82.72 | 89.95 | 94.35 | LRC | 58.95 | 65.42 | 73.94 | 82.06 | 91.15 | NDLR | 64.00 | 74.87 | 83.38 | 90.02 | 94.63 |
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