NDLI: Kernel Pooled Local Subspaces for Classification

Content Provider	IEEE Xplore Digital Library
Author	Zhang, Peng Peng, Jing Domeniconi, Carlotta
Copyright Year	2003
Description	Author affiliation: George Mason University (Domeniconi, Carlotta) \|\| Tulane University (Zhang, Peng; Peng, Jing)
Abstract	We study the use of kernel subspace methods for learning low-dimensional representations for classification. We propose a kernel pooled local discriminant subspace method and compare it against several competing techniques: Principal Component Analysis (PCA), Kernel PCA (KPCA), and linear local pooling in classification problems. We evaluate the classification performance of the nearest-neighbor rule with each subspace representation. The experimental results demonstrate the effectiveness and performance superiority of the kernel pooled subspace method over competing methods such as PCA and KPCA in some classification problems.
Starting Page	63
Ending Page	63
File Size	171455
Page Count	1
File Format	PDF
ISBN	0769519008
ISSN	10636919
DOI	10.1109/CVPRW.2003.10060
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-06-16
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Computer vision Conferences Glass Eigenvalues and eigenfunctions Kernel Principal component analysis
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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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Kernel Pooled Local Subspaces for Classification