Research Article
Neighborhood Preserving Convex Nonnegative Matrix Factorization
Table 3
Face recognition accuracy on the PIE data set. The number in brackets is the corresponding projection dimensionality.
| | Method | 5 Train | 10 Train | 20 Train |
| | Baseline | 43.02% | 62.90% | 83.19% | | PCA | 42.87% (199) | 62.51% (195) | 82.84% (200) | | LDA | 84.39% (67) | 90.47% (67) | 93.98% (67) | | NPE | 84.71% (166) | 91.48% (200) | 94.33% (200) | | NMF | 78.66% (200) | 88.98% (200) | 92.52% (200) | | LNMF | 76.47% (200) | 87.91% (200) | 92.61% (196) | | CNMF | 83.72% (176) | 90.89% (187) | 93.78% (159) | | NPCNMF | 88.43% (147) | 94.86% (158) | 98.58% (133) |
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