Subspaces Indexing Model On Grassmann Manifold For Image Search

IEEE-inst Electrical Electronics Engineers Inc
Publication Type:
Journal Article
IEEE Transactions On Image Processing, 2011, 20 (9), pp. 2627 - 2635
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Conventional linear subspace learning methods like principal component analysis (PCA), linear discriminant analysis (LDA) derive subspaces from the whole data set. These approaches have limitations in the sense that they are linear while the data distrib
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