An innovative weighted 2DLDA approach to face recognition

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An innovative weighted 2DLDA approach to face recognition

Two Dimensional Linear Discrimination Analysis (2DLDA) is an effective feature extraction approach for face recognition, which manipulates on the two dimensional image matrices directly. However, some between-class distances in the projected space are too small and this may produce a large erroneous...

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Bibliographic Details
Main Authors:	Lu, C., An, Senjian, Liu, Wan-Quan, Liu, X.
Format:	Journal Article
Published:	Springer 2011
Subjects:	Face recognition Two Dimensional Linear Discriminant Analysis Weighted linear discriminant analysis
Online Access:	http://hdl.handle.net/20.500.11937/49372

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