Machine Learning and Data Mining in Pattern Recognition 10th Int
This book constitutes the refereed proceedings of the 10th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2014, held in St. Petersburg, Russia in July 2014. The 40 full papers presented were carefully reviewed an
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Petra Perner (Ed.)
Machine Learning and Data Mining in Pattern Recognition 10th International Conference, MLDM 2014 St. Petersburg, Russia, July 21–24, 2014 Proceedings
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Lecture Notes in Artificial Intelligence Subseries of Lecture Notes in Computer Science LNAI Series Editors Randy Goebel University of Alberta, Edmonton, Canada Yuzuru Tanaka Hokkaido University, Sapporo, Japan Wolfgang Wahlster DFKI and Saarland University, Saarbrücken, Germany
LNAI Founding Series Editor Joerg Siekmann DFKI and Saarland University, Saarbrücken, Germany
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Petra Perner (Ed.)
Machine Learning and Data Mining in Pattern Recognition 10th International Conference, MLDM 2014 St. Petersburg, Russia, July 21-24, 2014 Proceedings
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Volume Editor Petra Perner Institute of Computer Vision and Applied Computer Sciences, IBaI Kohlenstrasse 2 04107 Leipzig, Germany E-mail: [email protected]
ISSN 0302-9743 e-ISSN 1611-3349 ISBN 978-3-319-08978-2 e-ISBN 978-3-319-08979-9 DOI 10.1007/978-3-319-08979-9 Springer Cham Heidelberg New York Dordrecht London Library of Congress Control Number: 2014942573 LNCS Sublibrary: SL 7 – Artificial Intelligence © Springer International Publishing Switzerland 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 ist 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 this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. While the advice and information in this book are believed to be true and accurate at the date of publication, neither the authors nor the editors nor the publisher can accept any legal responsibility for any errors or omissions that may be made. The publisher makes no warranty, express or implied, with respect to the material contained herein. Typesetting: Camera-ready by author, data conversion by Scientific Publishing Services, Chennai, India Printed on acid-free paper Spr
