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Membership-Degree Preserving Discriminant Analysis with Applications to Face Recognition
Joint Authors
Huang, Pu
Yang, Zhangjing
Qian, Jianjun
Liu, Chuancai
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-10-07
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
In pattern recognition, feature extraction techniques have been widely employed to reduce the dimensionality of high-dimensional data.
In this paper, we propose a novel feature extraction algorithm called membership-degree preserving discriminant analysis (MPDA) based on the fisher criterion and fuzzy set theory for face recognition.
In the proposed algorithm, the membership degree of each sample to particular classes is firstly calculated by the fuzzy k-nearest neighbor (FKNN) algorithm to characterize the similarity between each sample and class centers, and then the membership degree is incorporated into the definition of the between-class scatter and the within-class scatter.
The feature extraction criterion via maximizing the ratio of the between-class scatter to the within-class scatter is applied.
Experimental results on the ORL, Yale, and FERET face databases demonstrate the effectiveness of the proposed algorithm.
American Psychological Association (APA)
Yang, Zhangjing& Liu, Chuancai& Huang, Pu& Qian, Jianjun. 2013. Membership-Degree Preserving Discriminant Analysis with Applications to Face Recognition. Computational and Mathematical Methods in Medicine،Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-459552
Modern Language Association (MLA)
Yang, Zhangjing…[et al.]. Membership-Degree Preserving Discriminant Analysis with Applications to Face Recognition. Computational and Mathematical Methods in Medicine No. 2013 (2013), pp.1-7.
https://search.emarefa.net/detail/BIM-459552
American Medical Association (AMA)
Yang, Zhangjing& Liu, Chuancai& Huang, Pu& Qian, Jianjun. Membership-Degree Preserving Discriminant Analysis with Applications to Face Recognition. Computational and Mathematical Methods in Medicine. 2013. Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-459552
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-459552