Research Article
Bio-Inspired Structure Representation Based Cross-View Discriminative Subspace Learning via Simultaneous Local and Global Alignment
Table 5
Classification results (%) of all methods on 10% corrupted COIL-20 dataset.
| Methods | C1 | C2 | C3 | C4 |
| LDA | 34.13 ± 1.11 | 35.12 ± 0.87 | 35.27 ± 1.24 | 38.55 ± 1.47 | PCA | 49.44 ± 0.97 | 51.69 ± 0.94 | 48.31 ± 1.49 | 50.81 ± 0.61 | LatLRR | 58.71 ± 1.58 | 57.74 ± 1.49 | 57.66 ± 1.27 | 60.00 ± 1.51 | LPP | 57.63 ± 1.28 | 54.84 ± 1.42 | 58.25 ± 1.31 | 58.62 ± 1.01 | SRRS | 80.72 ± 0.70 | 74.36 ± 0.79 | 75.50 ± 0.41 | 89.06 ± 0.57 | RCVL | 78.20 ± 1.07 | 71.92 ± 1.02 | 73.67 ± 0.80 | 87.13 ± 0.55 | Ours | 82.22 ± 0.90 | 75.14 ± 0.65 | 77.08 ± 0.31 | 90.28 ± 0.93 |
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