Discriminative Orthogonal Neighborhood-Preserving Projections for Classification

Publisher:
IEEE-Inst Electrical Electronics Engineers Inc
Publication Type:
Journal Article
Citation:
IEEE Transactions On Systems Man And Cybernetics Part B-Cybernetics, 2010, 40 (1), pp. 253 - 263
Issue Date:
2010-01
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Orthogonal neighborhood-preserving projection (ONPP) is a recently developed orthogonal linear algorithm for overcoming the out-of-sample problem existing in the well-known manifold learning algorithm, i.e., locally linear embedding. It has been shown th
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