Machine Learning and Data Mining in Pattern Recognition 13th Int
This book constitutes the refereed proceedings of the 13th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2017, held in New York, NY, USA in July/August 2017.The 31 full papers presented in this book were careful
- PDF / 44,919,776 Bytes
- 462 Pages / 439.37 x 666.142 pts Page_size
- 50 Downloads / 213 Views
Petra Perner (Ed.)
Machine Learning and Data Mining in Pattern Recognition 13th International Conference, MLDM 2017 New York, NY, USA, July 15–20, 2017 Proceedings
123
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
10358
More information about this series at http://www.springer.com/series/1244
Petra Perner (Ed.)
Machine Learning and Data Mining in Pattern Recognition 13th International Conference, MLDM 2017 New York, NY, USA, July 15–20, 2017 Proceedings
123
Editor Petra Perner Institute of Computer Vision and Applied Computer Sciences Leipzig, Sachsen Germany
ISSN 0302-9743 ISSN 1611-3349 (electronic) Lecture Notes in Artificial Intelligence ISBN 978-3-319-62415-0 ISBN 978-3-319-62416-7 (eBook) DOI 10.1007/978-3-319-62416-7 Library of Congress Control Number: 2017945280 LNCS Sublibrary: SL7 – Artificial Intelligence © Springer International Publishing AG 2017 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. 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. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Printed on acid-free paper This Springer imprint is published by Springer Nature The registered company is Springer International Publishing AG The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland
Preface
The 13th event of the International Conference on Machine Learning and Data Mining MLDM 2017 was held in New York (www.mldm.de) running under the umbrella of the World Congress “The Frontiers in Intelligent Data and Signal Analysis, DSA2017” (www.worldcongressdsa.com). After the peer-review process, we accepted 35 high-quality papers for oral presentation. The topics range from theoretical topics for
