Research Article

Large Margin Graph Embedding-Based Discriminant Dimensionality Reduction

Table 2

The classification performance on the Yale dataset (%).

Methodl = 7 (k0 = 3, a = 0.8)l = 8 (k0 = 5, a = 0.8)l = 9 (k0 = 7, a = 0.8)

MFA62.344.24 (45)63.635.61 (50)68.235.71 (45)
DNE67.364.17 (21)69.235.33 (26)73.235.63 (28)
MNMDP71.233.62 (26)72.205.39 (21)76.235.29 (21)
DAG-DNE77.584.76 (21)77.875.56 (18)81.175.26 (16)
LMGE-DDR83.173.21 (40)83.784.15 (28)86.174.55 (22)