Flexible Manifold Learning With Optimal Graph for Image and Video Representation.

IEEE Transactions on Image Processing(2018)

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摘要
Graph-based dimensionality reduction techniques have been widely and successfully applied to clustering and classification tasks. The basis of these algorithms is the constructed graph which dictates their performance. In general, the graph is defined by the input affinity matrix. However, the affinity matrix derived from the data is sometimes suboptimal for dimension reduction as the data used ar...
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关键词
Manifolds,Dimensionality reduction,Principal component analysis,Clustering algorithms,Task analysis,Dictionaries
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