Research Article
Multiclass AdaBoost ELM and Its Application in LBP Based Face Recognition
Table 2
Performance of ELM and MAELM with PCA.
| | 10 | 20 | 30 | 40 | 50 | 60 |
| | 0.19/0.38 | 0.29/0.33 | 0.2/0.32 | 0.23/0.41 | 0.09/0.15 | 0.22/0.30 | | 0.19/0.20 | 0.22/0.40 | 0.21/0.21 | 0.36/0.35 | 0.27/0.28 | 0.26/0.38 | | 0.27/0.39 | 0.38/0.35 | 0.24/0.46 | 0.37/0.36 | 0.33/0.31 | 0.38/0.30 | | 0.43/0.34 | 0.76/0.32 | 0.85/0.32 | 0.86/0.43 | 0.86/0.37 | 0.86/0.35 | | 0.79/0.36 | 0.84/0.43 | 0.88/0.40 | 0.88/0.36 | 0.90/0.42 | 0.91/0.53 | | 0.84/0.58 | 0.95/0.76 | 0.86/0.81 | 0.90/0.85 | 0.87/0.82 | 0.91/0.87 | | 0.77/0.66 | 0.90/0.87 | 0.89/0.88 | 0.91/0.91 | 0.98/0.97 | 0.91/0.88 | | 0.77/0.73 | 0.85/0.87 | 0.91/0.91 | 0.90/0.92 | 0.94/0.92 | 0.92/0.92 | | 0.77/0.74 | 0.90/0.89 | 0.92/0.93 | 0.94/0.94 | 0.93/0.95 | 0.90/0.92 | | 0.74/0.55 | 0.91/0.88 | 0.93/0.93 | 0.88/0.88 | 0.91/0.91 | 0.85/0.86 | | 0.79/0.71 | 0.87/0.87 | 0.87/0.87 | 0.97/0.97 | 0.96/0.96 | 0.91/0.91 |
|
|