Subspace Methods for Pattern Recognition in Intelligent Environment
This research book provides a comprehensive overview of the state-of-the-art subspace learning methods for pattern recognition in intelligent environment. With the fast development of internet and computer technologies, the amount of available data is rap
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Yen-Wei Chen Lakhmi C. Jain Editors
Subspace Methods for Pattern Recognition in Intelligent Environment
Studies in Computational Intelligence Volume 552
Series editor Janusz Kacprzyk, Polish Academy of Sciences, Warsaw, Poland e-mail: [email protected]
For further volumes: http://www.springer.com/series/7092
About this Series The series “Studies in Computational Intelligence” (SCI) publishes new developments and advances in the various areas of computational intelligence—quickly and with a high quality. The intent is to cover the theory, applications, and design methods of computational intelligence, as embedded in the fields of engineering, computer science, physics and life sciences, as well as the methodologies behind them. The series contains monographs, lecture notes and edited volumes in computational intelligence spanning the areas of neural networks, connectionist systems, genetic algorithms, evolutionary computation, artificial intelligence, cellular automata, selforganizing systems, soft computing, fuzzy systems, and hybrid intelligent systems. Of particular value to both the contributors and the readership are the short publication timeframe and the world-wide distribution, which enable both wide and rapid dissemination of research output.
Yen-Wei Chen · Lakhmi C. Jain Editors
Subspace Methods for Pattern Recognition in Intelligent Environment
ABC
Editors Yen-Wei Chen College of Science and Engineering Ritsumeikan University Kusuatsu Japan
ISSN 1860-949X ISBN 978-3-642-54850-5 DOI 10.1007/978-3-642-54851-2
Lakhmi C. Jain Faculty of Education, Science, Technology and Mathematics University of Canberra ACT 2601 Australia
ISSN 1860-9503 (electronic) ISBN 978-3-642-54851-2 (eBook)
Springer Heidelberg New York Dordrecht London Library of Congress Control Number: 2014934176 c Springer-Verlag Berlin Heidelberg 2014 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. Exempted from this legal reservation are brief excerpts in connection with reviews or scholarly analysis or material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Duplication of this publication or parts thereof is permitted only under the provisions of the Copyright Law of the Publisher’s location, in its current version, and permission for use must always be obtained from Springer. Permissions for use may be obtained through RightsLink at the Copyright Clearance Center. Violations are liable to prosecution under the respective Copyright Law. The use of general descriptive names, registered names, trademarks, service marks, etc. in
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