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Support vector machine (SVM) and Fisher discriminant analysis (FDA) are two commonly used methods in machine learning and pattern recognition. A combined method of the linear SVM and FDA, called SVM/LDA (linear discriminant analysis), has been proposed only for the linear case. This paper generalizes this combined method to the nonlinear case from the view of regularization. A Fisher regularization...
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