Fusion of locally linear embedding and principal component analysis for face recognition (FLLEPCA)

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Fusion of locally linear embedding and principal component analysis for face recognition (FLLEPCA)

We proposed a novel approach for face recognition to address the challenging task of recognition using a fusion of nonlinear dimensional reduction; Locally Linear Embedding (LLE) and Principal Component Analysis (PCA) LLE computes a compact representation of high dimensional data combining the major...

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Bibliographic Details
Main Authors:	Abusham, , EE, Teoh,, A, Ngo,, , D
Format:	Article
Published:	2005
Subjects:	QA75.5-76.95 Electronic computers. Computer science
Online Access:	http://shdl.mmu.edu.my/2303/

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