NDLI: Optimal Locality Preserving Projection

Content Provider	IEEE Xplore Digital Library
Author	Haitao Zhao Shaoyuan Sun
Copyright Year	2010
Description	Author affiliation: Automation Department, Donghua University, Shanghai, China (Shaoyuan Sun) \|\| School of Aeronautics and Astronautics, Shanghai Jiao Tong University, China (Haitao Zhao)
Abstract	In the past few years, the computer vision and pattern recognition community has witnessed a rapid growth of a new kind of feature extraction method, the manifold learning methods, which attempt to project the original data into a lower dimensional feature space by preserving the local neighborhood structure. Among these methods, locality preserving projection (LPP) is one of the most promising feature extraction techniques. Based on LPP, this paper proposes a novel feature extraction algorithm, Optimal Locality Preserving Projection (Optimal LPP). Optimal here means that the extracted features are statistically uncorrelated and orthogonal, which are desirable for pattern analysis applications. We compare the proposed Optimal LPP with LPP, Orthogonal Locality Preserving Projection (OLPP) and Uncorrelated Locality Preserving Projection (ULPP) on the public available data sets, FERET and CMU PIE data sets. Experimental results show that the proposed Optimal LPP achieves much higher recognition accuracies.
Starting Page	1861
Ending Page	1864
File Size	142740
Page Count	4
File Format	PDF
ISBN	9781424479924
ISSN	15224880
e-ISBN	9781424479948
e-ISBN	9781424479931
DOI	10.1109/ICIP.2010.5653271
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-09-26
Publisher Place	Hong Kong
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Accuracy Feature extraction Principal component analysis Manifolds Pattern analysis Laplace equations Algorithm design and analysis Manifold learning Classification Dimensionality reduction
Content Type	Text
Resource Type	Article

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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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