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Incremental embedding and learning in the local discriminant subspace with application to face recognition
Cheng M.; Fang B.; Tang Y.Y.; Zhang T.; Wen J.
2010-09-01
Source PublicationIEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews
ISSN10946977
Volume40Issue:5Pages:580-591
AbstractDimensionality reduction and incremental learning have recently received broad attention in many applications of data mining, pattern recognition, and information retrieval. Inspired by the concept of manifold learning, many discriminant embedding techniques have been introduced to seek low-dimensional discriminative manifold structure in the high-dimensional space for feature reduction and classification. However, such graph-embedding framework-based subspace methods usually confront two limitations: 1) since there is no available updating rule for local discriminant analysis with the additive data, it is difficult to design incremental learning algorithm and 2) the small sample size (SSS) problem usually occurs if the original data exist in very high-dimensional space. To overcome these problems, this paper devises a supervised learning method, called local discriminant subspace embedding (LDSE), to extract discriminative features. Then, the incremental-mode algorithm, incremental LDSE (ILDSE), is proposed to learn the local discriminant subspace with the newly inserted data, which applies incremental learning extension to the batch LDSE algorithm by employing the idea of singular value-decomposition (SVD) updating algorithm. Furthermore, the SSS problem is avoided in our method for the high-dimensional data and the benchmark incremental learning experiments on face recognition show that ILDSE bears much less computational cost compared with the batch algorithm. © 2010 IEEE.
KeywordDimensionality reduction discriminant embedding face recognition incremental learning manifold learning singular value decomposition (SVD) small sample size (SSS) problem
DOI10.1109/TSMCC.2010.2043529
URLView the original
Language英語
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Cited Times [WOS]:19   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionUniversity of Macau
AffiliationChongqing University
Recommended Citation
GB/T 7714
Cheng M.,Fang B.,Tang Y.Y.,et al. Incremental embedding and learning in the local discriminant subspace with application to face recognition[J]. IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews,2010,40(5):580-591.
APA Cheng M.,Fang B.,Tang Y.Y.,Zhang T.,&Wen J..(2010).Incremental embedding and learning in the local discriminant subspace with application to face recognition.IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews,40(5),580-591.
MLA Cheng M.,et al."Incremental embedding and learning in the local discriminant subspace with application to face recognition".IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews 40.5(2010):580-591.
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