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Support Vector Machines (SVM) has drawn extensive interests due to its attractive properties, based on which some dimensionality reduction methods have been proposed. However, SVM here only serves as a feature extractor rather than a classifier, the extracted features are in turn used as inputs to other different classifiers. In this paper, a novel and simpler SVM-induced Dimensionality Reduction...
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