Research Article
A Complete Subspace Analysis of Linear Discriminant Analysis and Its Robust Implementation
Table 2
Performance comparisons (%) of some methods on face databases.
| Databases | TS | DLDA | PCA+LDA | MMC | DCV | LDA/QR | LDA/GSVD | Ours |
| ORL | 2 | 36.73 (4.05) | 29.82 (3.08) | 18.04 (2.35) | 16.43 (1.95) | 21.62 (3.08) | 19.92 (2.08) | 16.32 (1.91) | 4 | 8.45 (1.45) | 8.60 (1.83) | 6.52 (1.60) | 6.12 (1.95) | 8.45 (1.45) | 10.45 (1.72) | 5.31 (1.70) | 6 | 3.21 (1.31) | 3.37 (1.62) | 2.96 (1.31) | 3.26 (1.14) | 3.21 (1.31) | 7.09 (1.34) | 2.50 (1.11) | 8 | 1.75 (2.99) | 2.00 (1.68) | 2.18 (2.29) | 2.00 (2.20) | 1.75 (2.29) | 4.12 (1.76) | 1.75 (1.33) |
| Yale | 2 | 52.88 (4.68) | 65.14 (8.70) | 40.07 (4.35) | 28.77 (15.25) | 41.66 (5.23) | 37.81 (4.45) | 35.81 (3.85) | 4 | 28.09 (4.51) | 38.23 (3.68) | 30.61 (4.80) | 19.85 (4.18) | 30.61 (4.80) | 19.47 (4.02) | 19.47 (3.06) | 6 | 22.86 (4.07) | 23.60 (5.24) | 21.53 (4.56) | 12.06 (3.76) | 24.26 (6.08) | 12.06 (3.87) | 11.53 (3.27) | 8 | 19.33 (4.45) | 20.00 (5.67) | 17.44 (6.29) | 10.44 (3.80) | 19.33 (4.45) | 9.66 (3.61) | 9.55 (3.25) |
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