Subspace, Latent Structure and Feature Selection Statistical and Opt
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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 University of California, Los Angeles, CA, 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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Craig Saunders Marko Grobelnik Steve Gunn John Shawe-Taylor (Eds.)
Subspace, Latent Structure and Feature Selection Statistical and Optimization Perspectives Workshop, SLSFS 2005 Bohinj, Slovenia, February 23-25, 2005 Revised Selected Papers
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Volume Editors Craig Saunders Steve Gunn John Shawe-Taylor University of Southampton School of Electronics and Computer Science ISIS Group Southampton, SO17 1BJ, UK E-mail: {cjs,srg,jst}@ecs.soton.ac.uk Marko Grobelnik J. Stefan Institute Department of Intelligent Systems Jamova 39, 1000 Ljubljana, Slovenia E-mail: [email protected]
Library of Congress Control Number: 2006925463 CR Subject Classification (1998): F.1, F.2, I.2.6-8, I.2.3, I.4-6, F.4.1, H.3 LNCS Sublibrary: SL 1 – Theoretical Computer Science and General Issues ISSN ISBN-10 ISBN-13
0302-9743 3-540-34137-4 Springer Berlin Heidelberg New York 978-3-540-34137-6 Springer Berlin Heidelberg New York
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Preface
The inspiration for this volume was a workshop held under the auspices of the PASCAL Network of Excellence. Details of the event and more information about the Network can be found under the heading ‘Workshop Organization.’ The aim of this preface is to provide an overview of the contributions to this volume, placing this research in its wider context. The aim of the workshop was to bring together researchers working
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