Unified formulation of linear discriminant analysis methods and optimal parameter selection

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Unified formulation of linear discriminant analysis methods and optimal parameter selection

In the last decade, many variants of classical linear discriminant analysis (LDA) have been developed to tackle the under-sampled problem in face recognition. However, choosing the variants is not easy since these methods involve eigenvalue decomposition that makes cross-validation computationally e...

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Bibliographic Details
Main Authors:	An, Senjian, Liu, Wan-Quan, Venkatesh, Svetha, Hong, Y.
Format:	Journal Article
Published:	Pergamon Press 2011
Online Access:	http://hdl.handle.net/20.500.11937/5730

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