An Efficient Feature Extraction Method, Global Between Maximum and Local Within Minimum, and Its Applications

Figure 5

The most significant 10 eigenfaces obtained from the Yale face database through using the seven subspace learning methods: PCA, LDA, MMC, LPP, NPE, ANMM, and GBMLWM from top to bottom.