Research Article

A Unified Factors Analysis Framework for Discriminative Feature Extraction and Object Recognition

Table 1

Classification accuracies of LDA and FA-LDA on the artificial database.

3 classes4 classes5 classes
FA-LDALDAFA-LDALDAFA-LDALDA

83.5 ± 7.4562 ± 8.3475.5 ± 5.638.54 ± 10.2178.26 ± 5.445.26 ± 7.85
81 ± 9.0156.7 ± 7.4573 ± 6.6845.85 ± 7.3775.66 ± 6.2846.15 ± 8.21
83.5 ± 9.0759.5 ± 10.5373.5 ± 5.6246.33 ± 5.3675.5 ± 7.2539.54 ± 9.25
80.5 ± 8.6757 ± 9.5776.67 ± 5.642.64 ± 7.679.45 ± 5.548.26 ± 6.51
81 ± 9.0153.5 ± 12.4578.56 ± 5.2143.85 ± 7.4976.5 ± 7.5044.58 ± 9.21
81.5 ± 6.2661.5 ± 9.5778.85 ± 5.3440.28 ± 6.3570.57 ± 9.1439.83 ± 5.68
84.5 ± 6.5860 ± 6.780.21 ± 8.6342.84 ± 5.4975.64 ± 5.6046.25 ± 7.35
82.5 ± 8.0859.5 ± 11.5678.26 ± 5.2341.45 ± 8.1676.42 ± 5.6042.35 ± 5.36
81 ± 8.4564.5 ± 6.8775.95 ± 6.7243.58 ± 6.5377.38 ± 6.5846.25 ± 8.24