Research Article
A Fuzzy Kernel Maximum Margin Criterion for Image Feature Extraction
Table 4
Average recognition rates and standard deviation on the FERET face database for sample numbers per class
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| | Algorithm (feature dim.) | | | | |
| | LPP | 6.96 (2.40) | 6.60 (2.49) | 5.86 (2.68) | 5.66 (2.97) | | TSA | 52.43 (8.07) | 63.93 (10.24) | 67.56 (14.22) | 69.82 (13.22) | | KPCA () | 45.02 (7.74) | 51.52 (10.74) | 55.40 (8.50) | 57.01 (14.57) | | KLDA () | 8.69 (3.26) | 37.76 (9.73) | 57.55 (15.16) | 66.73 (19.70) | | 2DLDA () | 28.08 (5.36) | 29.60 (5.89) | 30.15 (6.84) | 32.54 (11.10) | | LLD () | 43.94 (8.25) | 49.60 (10.56) | 51.92 (8.33) | 55.61 (14.52) | | FIFDA () | 4.11 (0.56) | 10.35 (3.61) | 16.77 (5.18) | 23.37 (9.10) | | LBMMC | 50.00 (9.33) | 58.93 (10.10) | 60.34 (11.59) | 63.70 (15.38) | | 2D-MMC () | 56.57 (8.68) | 65.63 (7.86) | 65.70 (7.78) | 69.29 (11.61) | | B2D-MMC () | 54.29 (9.10) | 66.68 (7.61) | 65.34 (10.42) | 70.32 (12.17) | | FKMMC () | 57.04 (9.71) | 66.74 (10.45) | 67.65 (14.90) | 70.45 (17.54) |
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