Research Article
Neighborhood Preserving Convex Nonnegative Matrix Factorization
Table 2
Face recognition accuracy on the Yale data set. The number in brackets is the corresponding projection dimensionality.
| Method | 2 Train | 3 Train | 4 Train |
| Baseline | 46.04% | 49.96% | 55.62% | PCA | 46.04% (29) | 49.96% (44) | 55.62% (58) | LDA | 42.81% (11) | 60.33% (14) | 68.10% (13) | NPE | 48.19% (13) | 62.00% (19) | 69.00% (73) | NMF | 44.11% (112) | 49.00% (195) | 52.19% (164) | LNMF | 44.00% (157) | 48.84% (198) | 53.57% (197) | CNMF | 49.72% (125) | 59.50% (168) | 65.77% (129) | NPCNMF | 63.45% (124) | 71.83% (148) | 81.38% (153) |
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