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Lecture Notes in Computer Science

Multiple Classifier Systems

Second International Workshop, MCS 2001 Cambridge, UK, July 2-4, 2001 Proceedings

Editors: Kittler, Josef, Roli, Fabio (Eds.)

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About this book

Driven by the requirements of a large number of practical and commercially - portant applications, the last decade has witnessed considerable advances in p- tern recognition. Better understanding of the design issues and new paradigms, such as the Support Vector Machine, have contributed to the development of - proved methods of pattern classi cation. However, while any performance gains are welcome, and often extremely signi cant from the practical point of view, it is increasingly more challenging to reach the point of perfection as de ned by the theoretical optimality of decision making in a given decision framework. The asymptoticity of gains that can be made for a single classi er is a re?- tion of the fact that any particular design, regardless of how good it is, simply provides just one estimate of the optimal decision rule. This observation has motivated the recent interest in Multiple Classi er Systems , which aim to make use of several designs jointly to obtain a better estimate of the optimal decision boundary and thus improve the system performance. This volume contains the proceedings of the international workshop on Multiple Classi er Systems held at Robinson College, Cambridge, United Kingdom (July 2{4, 2001), which was organized to provide a forum for researchers in this subject area to exchange views and report their latest results.

Table of contents (44 chapters)

  • Bagging and the Random Subspace Method for Redundant Feature Spaces

    Skurichina, Marina (et al.)

    Pages 1-10

  • Performance Degradation in Boosting

    Wickramaratna, Jeevani (et al.)

    Pages 11-21

  • A Generalized Class of Boosting Algorithms Based on Recursive Decoding Models

    Tapia, Elizabeth (et al.)

    Pages 22-31

  • Tuning Cost-Sensitive Boosting and Its Application to Melanoma Diagnosis

    Merler, Stefano (et al.)

    Pages 32-42

  • Learning Classification RBF Networks by Boosting

    Rodríguez Diez, Juan J. (et al.)

    Pages 43-52

Buy this book

eBook $89.00
price for USA in USD (gross)
  • ISBN 978-3-540-48219-2
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $119.00
price for USA in USD
  • ISBN 978-3-540-42284-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Multiple Classifier Systems
Book Subtitle
Second International Workshop, MCS 2001 Cambridge, UK, July 2-4, 2001 Proceedings
Editors
  • Josef Kittler
  • Fabio Roli
Series Title
Lecture Notes in Computer Science
Series Volume
2096
Copyright
2001
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-48219-2
DOI
10.1007/3-540-48219-9
Softcover ISBN
978-3-540-42284-6
Series ISSN
0302-9743
Edition Number
1
Number of Pages
XII, 456
Topics