Overview
Discusses the system framework of kernel based face recognition
Introduces a new method of machine learning as it relates to face recognition
Presents algorithms for pattern recognition and machine learning
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Table of contents (10 chapters)
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Front Matter
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Back Matter
Keywords
About this book
Authors and Affiliations
About the authors
Jeng-Shyang Pan is the Tainan Chapter Chair, IEEE Signal Processing Society.
Jun-Bao Li is currently at the Department of Automatic Test and Control, Harbin Institute of Technology.
Shu-Chuan Chu is a researcher at the School of Electrical and Information Engineering, University of South Australia, Mawson Lakes Campus.
Bibliographic Information
Book Title: Kernel Learning Algorithms for Face Recognition
Authors: Jun-Bao Li, Shu-Chuan Chu, Jeng-Shyang Pan
DOI: https://doi.org/10.1007/978-1-4614-0161-2
Publisher: Springer New York, NY
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Science+Business Media New York 2014
Hardcover ISBN: 978-1-4614-0160-5Published: 08 September 2013
Softcover ISBN: 978-1-4939-5212-0Published: 23 August 2016
eBook ISBN: 978-1-4614-0161-2Published: 07 September 2013
Edition Number: 1
Number of Pages: XV, 225
Number of Illustrations: 39 b/w illustrations, 19 illustrations in colour
Topics: Signal, Image and Speech Processing, Communications Engineering, Networks, Computational Intelligence, Image Processing and Computer Vision