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Effective Discriminative Feature Selection With Nontrivial Solution.

IEEE Trans. Neural Netw. Learning Syst., no. 99 (2015)

Cited by: 89|Views77
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Abstract

Feature selection and feature transformation, the two main ways to reduce dimensionality, are often presented separately. In this paper, a feature selection method is proposed by combining the popular transformation-based dimensionality reduction method linear discriminant analysis (LDA) and sparsity regularization. We impose row sparsity...More

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