Multiple Classifier Systems 6th International Workshop, MCS 2005, Se
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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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Nikunj C. Oza Robi Polikar Josef Kittler Fabio Roli (Eds.)
Multiple Classifier Systems 6th International Workshop, MCS 2005 Seaside, CA, USA, June 13-15, 2005 Proceedings
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Volume Editors Nikunj C. Oza NASA Ames Research Center Mail Stop 269-3, Moffett Field, CA 94035-1000, USA E-mail: [email protected] Robi Polikar Rowan University, Electrical and Computer Engineering 136 Rowan Hall, 201 Mullica Hill Road, Glassboro, NJ 08028, USA E-mail: [email protected] Josef Kittler University of Surrey, Center for Vision, Speech and Signal Processing Guildford, Surrey GU2 7XH, UK E-mail: [email protected] Fabio Roli University of Cagliari, Department of Electrical and Electronic Engineering Piazza D’Armi, 09123 Cagliari, Italy E-mail: [email protected]
Library of Congress Control Number: 2005927319 CR Subject Classification (1998): I.5, I.4, I.2.10, I.2, F.1 ISSN ISBN-10 ISBN-13
0302-9743 3-540-26306-3 Springer Berlin Heidelberg New York 978-3-540-26306-7 Springer Berlin Heidelberg New York
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Preface
The belief that a committee of people make better decisions than any individual is widely held and appreciated. We also understand that, for this to be true, the members of the committee have to be simultaneously competent and complementary. This intuitive notion holds true for committees of data sources (such as sensors) and models (such
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