NDLI: Locality preserving and global discriminant projection with prior information

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Locality preserving and global discriminant projection with prior information

Content Provider	Springer Nature Link
Author	Zhang, Honggang Deng, Weihong Guo, Jun Yang, Jie
Copyright Year	2009
Abstract	Existing supervised and semi-supervised dimensionality reduction methods utilize training data only with class labels being associated to the data samples for classification. In this paper, we present a new algorithm called locality preserving and global discriminant projection with prior information (LPGDP) for dimensionality reduction and classification, by considering both the manifold structure and the prior information, where the prior information includes not only the class label but also the misclassification of marginal samples. In the LPGDP algorithm, the overlap among the class-specific manifolds is discriminated by a global class graph, and a locality preserving criterion is employed to obtain the projections that best preserve the within-class local structures. The feasibility of the LPGDP algorithm has been evaluated in face recognition, object categorization and handwritten Chinese character recognition experiments. Experiment results show the superior performance of data modeling and classification to other techniques, such as linear discriminant analysis, locality preserving projection, discriminant locality preserving projection and marginal Fisher analysis.
Starting Page	577
Ending Page	585
Page Count	9
File Format	PDF
ISSN	09328092
Journal	Machine Vision and Applications
Volume Number	21
Issue Number	4
e-ISSN	14321769
Language	English
Publisher	Springer-Verlag
Publisher Date	2009-08-12
Publisher Place	Berlin/Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Locality preserving and global discriminant projection Prior information Dimensionality reduction Face recognition Communications Engineering, Networks Image Processing and Computer Vision Pattern Recognition
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Computer Science Applications Software Hardware and Architecture

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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