Subspaces Indexing Model On Grassmann Manifold For Image Search

Publisher:
IEEE-inst Electrical Electronics Engineers Inc
Publication Type:
Journal Article
Citation:
IEEE Transactions On Image Processing, 2011, 20 (9), pp. 2627 - 2635
Issue Date:
2011-01
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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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