Multiple Classifier Systems

8th International Workshop, MCS 2009, Reykjavik, Iceland, June 10-12, 2009. Proceedings

  • Jón Atli Benediktsson
  • Josef Kittler
  • Fabio Roli
Conference proceedings MCS 2009

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5519)

Table of contents

  1. MCS Methods and Applications

    1. Kai Lienemann, Thomas Plötz, Gernot A. Fink
      Pages 498-508
    2. Kai Ming Ting, Lian Zhu
      Pages 509-518
  2. Invited Papers

  3. Back Matter

About these proceedings


This book constitutes the refereed proceedings of the 8th International Workshop on Multiple Classifier Systems, MCS 2009, held in Reykjavik, Iceland, in June 2009.

The 52 revised full papers presented together with 2 invited papers were carefully reviewed and selected from more than 70 initial submissions. The papers are organized in topical sections on ECOC boosting and bagging, MCS in remote sensing, unbalanced data and decision templates, stacked generalization and active learning, concept drift, missing values and random forest, SVM ensembles, fusion of graphics, concepts and categorical data, clustering, and finally theory, methods and applications of MCS.


Support Vector Machine algorithmic learning algorithms bayesian networks biometric authentication classification classifier systems data fragmentation decision trees diversity document analysis ensemble learning ensemble prediction image analysis pattern recognition

Editors and affiliations

  • Jón Atli Benediktsson
    • 1
  • Josef Kittler
    • 2
  • Fabio Roli
    • 3
  1. 1.Faculty of Electrical and Computer EngineeringUniversity of IcelandReykjavikIceland
  2. 2.Speech and Signal Processing, GuildfordUniversity of Surrey, Centre for VisionSurreyUnited Kingdom
  3. 3.Department of Electrical and Electronic Engineering, Piazza d’ArmiUniversity of CagliariCagliariItaly

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2009
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-02325-5
  • Online ISBN 978-3-642-02326-2
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site