Hanyang Peng

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A novel sparsity optimization method is proposed to select features for multi-class classification problems by directly optimizing a ℓ 2,p-norm (0 < í µí± ≤ 1) based sparsity function subject to data-fitting inequality constraints to obtain large between-class margins. The direct sparse optimization method circumvents the empirical tuning of regularization(More)
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