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Subspace learning techniques for face recognition have been attached growing attention. Two dimensional linear discriminate analysis (2DLDA) is a popular face recognition technique, which learns two interrelated subspace in an iterative manner. DialLDA is proposed as a complementary method to 2DLDA. Motivated by the success of 2DLDA and DialLDA for face recognition, in the paper we develop an innovative...
In this paper, a novel subspace method called Bidirectional diagonal Fisher linear discriminant analysis (BDFLD) is proposed for face recognition. Ensemble classifier is used in order to integrate information of multiple classifiers. BDFLD has the advantage of both 2D FDA and 2D DiaFLD, and directly seeks the optimal projection vectors from diagonal face images without image-to-vector transformation...
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