Research Article
Jointly Learning the Discriminative Dictionary and Projection for Face Recognition
Table 13
The classification accuracies (the top average recognition accuracy ± standard deviation %) of methods on the Honda, MoBo, and YTC databases.
| Method | Honda | MoBo | YTC |
| MSM | 90.26 ± 2.15 | 85.57 ± 3.74 | 60.78 ± 4.38 | DCC | 94.87 ± 1.46 | 91.53 ± 1.66 | 63.91 ± 4.71 | MMD | 94.87 ± 2.05 | 89.72 ± 3.48 | 66.47 ± 3.77 | MDA | 97.44 ± 1.22 | 95.97 ± 1.90 | 67.89 ± 4.62 | AHISD | 89.74 ± 2.69 | 94.58 ± 2.57 | 66.71 ± 5.36 | CHISD | 92.31 ± 2.17 | 96.52 ± 1.18 | 67.34 ± 6.12 | SANP | 93.69 ± 1.79 | 97.08 ± 1.03 | 67.96 ± 5.91 | DFRV | 97.44 ± 2.73 | 94.47 ± 2.10 | 73.49 ± 5.20 | LSD | 100.00 ± 0.00 | 95.69 ± 2.04 | 72.93 ± 6.07 | SFDL | 100.00 ± 0.00 | 96.71 ± 1.77 | 76.24 ± 5.48 | JLDDP | 100.00 ± 0.00 | 97.72 ± 1.45 | 78.31 ± 5.04 |
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