Pattern Recognition and Machine Intelligence First International Con
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Editorial Board David Hutchison Lancaster University, UK Takeo Kanade Carnegie Mellon University, Pittsburgh, PA, USA Josef Kittler University of Surrey, Guildford, UK Jon M. Kleinberg Cornell University, Ithaca, NY, USA Friedemann Mattern ETH Zurich, Switzerland John C. Mitchell Stanford University, CA, USA Moni Naor Weizmann Institute of Science, Rehovot, Israel Oscar Nierstrasz University of Bern, Switzerland C. Pandu Rangan Indian Institute of Technology, Madras, India Bernhard Steffen University of Dortmund, Germany Madhu Sudan Massachusetts Institute of Technology, MA, USA Demetri Terzopoulos New York University, NY, USA Doug Tygar University of California, Berkeley, CA, USA Moshe Y. Vardi Rice University, Houston, TX, USA Gerhard Weikum Max-Planck Institute of Computer Science, Saarbruecken, Germany
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Sankar K. Pal Sanghamitra Bandyopadhyay Sambhunath Biswas (Eds.)
Pattern Recognition and Machine Intelligence First International Conference, PReMI 2005 Kolkata, India, December 20-22, 2005 Proceedings
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Volume Editors Sankar K. Pal Indian Statistical Institute Kolkata 700 108, India E-mail: [email protected] Sanghamitra Bandyopadhyay Sambhunath Biswas Indian Statistical Institute, Machine Intelligence Unit Kolkata 700 108, India E-mail: {sanghami,sambhu}@isical.ac.in
Library of Congress Control Number: 2005937700 CR Subject Classification (1998): I.4, F.1, I.2, I.5, J.3, C.2.1, C.1.3 ISSN ISBN-10 ISBN-13
0302-9743 3-540-30506-8 Springer Berlin Heidelberg New York 978-3-540-30506-4 Springer Berlin Heidelberg New York
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Message from the General Chair
Pattern recognition and machine intelligence form a major area of research and developmental activity that encompasses the processing of multimedia information obtained from the interaction between science, technology and society. An important motivation for the spurt of activity in this field is the desire to design and make intelligent machines capable of performing certain tasks that we human beings do. Potential applications exist in forefront research areas like computational biology, data mining, Web mining, global positioning systems, medical imaging, forensic sciences, besides classical pr
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