Research Article
A Fuzzy Kernel Maximum Margin Criterion for Image Feature Extraction
Table 3
Average recognition rates and standard deviation on the AR face database for sample numbers per class
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| Algorithm (feature dim.) | | | | |
| LPP | 34.83 (4.24) | 44.68 (6.24) | 48.36 (7.60) | 55.61 (6.90) | TSA | 58.60 (6.43) | 63.65 (7.71) | 65.21 (10.18) | 70.03 (10.07) | KPCA () | 42.10 (12.37) | 47.43 (8.94) | 53.63 (5.05) | 59.56 (8.18) | KLDA () | 32.09 (9.20) | 58.89 (4.93) | 68.48 (9.62) | 70.18 (8.22) | 2DLDA () | 40.14 (5.14) | 41.94 (4.94) | 44.77 (3.89) | 44.78 (5.30) | LLD () | 45.53 (7.80) | 46.18 (7.37) | 51.97 (5.96) | 49.79 (6.67) | FIFDA () | 26.19 (1.94) | 32.25 (2.17) | 37.21 (3.16) | 40.66 (4.18) | LBMMC | 48.32 (13.29) | 57.99 (11.87) | 60.99 (7.08) | 62.47 (7.50) | 2D-MMC () | 39.41 (7.95) | 43.88 (5.24) | 44.52 (5.03) | 47.71 (3.07) | B2D-MMC () | 30.10 (7.22) | 30.11 (7.43) | 34.12 (6.95) | 35.58 (4.30) | FKMMC () | 53.21 (12.86) | 62.90 (8.61) | 68.51 (9.37) | 70.51 (11.25) |
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