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    Abstract
2012 (Vol. 4, Issue: 24)
Article Information:

Discriminant Locality Preserving Projection

Guoqiang Wang, Wen Cui and Yanling Shao
Corresponding Author:  Guoqiang Wang 

Key words:  Image recognition , Locality Preserving Projection (LPP) , Scatter-Difference Discriminant LPP (SDDLPP), , , ,
Vol. 4 , (24): 5572-5577
Submitted Accepted Published
April 27, 2012 May 16, 2012 December 15, 2012
Abstract:

In this study, we proposed an improved LPP method named Scatter-Difference Discriminant Locality Preserving Projection (SDDLPP). It considers discriminant information by maximizing the scatter-difference, which makes it have better classification capability. SDDLPP also avoids the singularity problem for the highdimensional data matrix and can be directly applied to the small sample size problem while preserving more important information. Comparative recognition performance results on public face and palmprint databases also demonstrate the effectiveness of the proposed SDDLPP approach.
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  Cite this Reference:
Guoqiang Wang, Wen Cui and Yanling Shao, 2012. Discriminant Locality Preserving Projection.  Research Journal of Applied Sciences, Engineering and Technology, 4(24): 5572-5577.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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