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Research of Intelligent Uncertainty of Measurement Based on Computer-Aided Evaluation System Read chapter Read first chapter

2013 | OriginalPaper | Chapter

99. Face Recognition Dimensionality Reduction Based on LLE and ISOMAP

Authors : Tao Zhang, Shu Li, Shuguang Wu, Lixin Tao

Published in: Informatics and Management Science V

Publisher: Springer London

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Abstract

Local linear embedding (LLE) and isometric feature mapping (ISOMAP) are two basic patterns of nonlinear dimensionality reduction. Their respective strengths and weaknesses in face recognition deserve deep-going comparative study. Therefore, this paper is to test the two patterns’ performance efficiency in different parameters, analyze and summarize the two dimensionality reduction pattern’s characteristics and scope of application, apply LLE and main constituent analysis into face recognition and summarize probability of detection of face recognition.

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Literature
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Qing L (2008) Semi-supervised handwriting recognition. Chinese Science and Technology University, 49:372–378
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Metadata
Title
Face Recognition Dimensionality Reduction Based on LLE and ISOMAP
Authors
Tao Zhang
Shu Li
Shuguang Wu
Lixin Tao
Copyright Year
2013
Publisher
Springer London
Book
Informatics and Management Science V

Print ISBN: 978-1-4471-4795-4

Electronic ISBN: 978-1-4471-4796-1

Copyright Year: 2013

DOI
https://doi.org/10.1007/978-1-4471-4796-1_99

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