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Discriminant information computed for face data. A: Sample image for neutral expression. B: Sample image for smiling face. C: First two principle variations computed by the modified FLDA method. We can see that the modified FLDA method can correctly detect the different facial expression information. D: Discriminant variation computed by directly applying the traditional FLDA method on this data. E: discriminant variation computed by sequentially applying PCA then FLDA on this data.
