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 l2,p -norm ( 0 < p ≤ 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)
Knowledge acquisition and representation is an integral part of an active cognitive system, and such systems are continuously updating their knowledge of their own embodiment, the external world and the relation between the two. Given a stream of control commands and sensory data, we want to understand how the three types of knowledge are acquired. We(More)
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