Locality constrained dictionary learning for non-linear dimensionality reduction and classification.
IET Computer Vision(2017)
摘要
In view of the incremental dimensionality reduction problem of existing non-linear dimensionality reduction methods, a novel algorithm, based on locality constrained dictionary learning (LCDL), is proposed in this study. During the dictionary learning process, the neighbourhood size of some potential landmarks on a non-linear manifold is constrained to maintain the intrinsic local geometric featur...
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关键词
learning (artificial intelligence),pattern classification
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