Research Article
A Fuzzy Kernel Maximum Margin Criterion for Image Feature Extraction
Table 1
Average recognition rates and standard deviation on the GTFD face database for sample numbers per class
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| | Algorithm (feature dim.) | | | | |
| | LPP | 32.41 (2.94) | 35.95 (2.70) | 39.82 (2.52) | 40.84 (3.13) | | TSA | 49.32 (6.44) | 65.51 (2.75) | 70.90 (3.30) | 73.73 (3.96) | | KPCA () | 52.56 (2.05) | 58.45 (4.04) | 62.00 (2.61) | 65.46 (2.60) | | KLDA () | 25.95 (2.90) | 40.37 (7.55) | 35.74 (5.63) | 43.11 (2.43) | | 2DLDA () | 47.91 (6.01) | 54.92 (3.13) | 56.74 (3.69) | 59.83 (2.32) | | LLD () | 52.12 (3.09) | 59.73 (2.17) | 62.00 (3.07) | 63.22 (3.41) | | FIFDA () | 21.72 (3.91) | 30.47 (2.94) | 33.45 (3.94) | 37.58 (2.41) | | LBMMC | 54.47 (2.59) | 59.81 (3.28) | 65.17 (1.39) | 66.60 (2.71) | | 2D-MMC () | 57.23 (3.05) | 60.71 (2.75) | 63.00 (2.56) | 65.12 (2.56) | | B2D-MMC () | 50.49 (2.74) | 56.39 (3.35) | 57.32 (2.47) | 58.79 (2.94) | | FKMMC () | 52.58 (4.87) | 61.18 (4.21) | 69.53 (3.62) | 74.25 (2.38) |
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