Research Article

Large Margin Graph Embedding-Based Discriminant Dimensionality Reduction

Table 4

The classification performance on the FERET dataset (%).

Methodl = 4 (k0 = 3, a = 0.8)l = 5 (k0 = 3, a = 0.8)l = 6 (k0 = 3, a = 0.8)

MFA36.681.55 (60)60.002.32 (65)44.532.79 (60)
DNE69.471.43 (22)56.581.97 (12)60.382.57 (16)
MNMDP99.030.34 (76)72.471.66 (72)77.332.78 (42)
DAG-DNE84.751.28 (30)87.881.04 (36)89.631.76 (48)
LMGE-DDR88.050.86 (32)89.710.67 (40)90.731.68 (36)