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Marginal fisher analysis (MFA) is an effective approach for feature extraction and recognition. However, an intrinsic limitation existed in MFA is that it deemphasizes the importance of the distant points, which may degrade the recognition performance. In this paper, a novel algorithm called graph discriminant embedding (GDE) is proposed to overcome the limitation. GDE maintains the good property...
A modified independent component analysis method, termed the matrix-based modular independent component analysis (MMICA), is developed in this paper. The main idea of the proposed method is that each of all facial images is first partitioned into many subimages. Every subimage is regarded as a new training sample, by which a new set of training samples is formed. Since the dimensionality of each of...
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