Multiple Classifier Systems

7th International Workshop, MCS 2007, Prague, Czech Republic, May 23-25, 2007. Proceedings

  • Editors
  • Michal Haindl
  • Josef Kittler
  • Fabio Roli
Conference proceedings MCS 2007

Part of the Lecture Notes in Computer Science book series (LNCS, volume 4472)

Table of contents

  1. Front Matter
  2. Kernel-Based Fusion

    1. Vadim Mottl, Alexander Tatarchuk, Valentina Sulimova, Olga Krasotkina, Oleg Seredin
      Pages 1-12
    2. David Windridge, Vadim Mottl, Alexander Tatarchuk, Andrey Eliseyev
      Pages 13-21
    3. Wan-Jui Lee, Sergey Verzakov, Robert P. W. Duin
      Pages 22-31
    4. Stefano Merler, Giuseppe Jurman, Cesare Furlanello
      Pages 32-41
  3. Applications

    1. Albert Hung-Ren Ko, Robert Sabourin, Alceu de Souza Britto Jr.
      Pages 52-61
    2. Sarunas Raudys, Ömer Kaan Baykan, Ahmet Babalik, Vitalij Denisov, Antanas Andrius Bielskis
      Pages 62-71
    3. Hans Ulrich Christensen, Daniel Ortiz-Arroyo
      Pages 82-92
    4. Tawfik A. Mohamed, Neamat El Gayar, Amir F. Atiya
      Pages 93-102
    5. Mohammad T. Sadeghi, Samaneh Khoshrou, Josef Kittler
      Pages 121-130
    6. Reza Ebrahimpour, Ehsanollah Kabir, Mohammad Reza Yousefi
      Pages 131-140
    7. Ángel Serrano, Isaac Martín de Diego, Cristina Conde, Enrique Cabello, Li Bai, Linlin Shen
      Pages 141-150
    8. Gian Luca Marcialis, Fabio Roli
      Pages 151-160
  4. Boosting

    1. Lawrence O. Hall, Robert E. Banfield, Kevin W. Bowyer, W. Philip Kegelmeyer
      Pages 161-170
    2. Julien Meynet, Jean-Philippe Thiran
      Pages 171-179
    3. Yijuan Lu, Qi Tian, Thomas S. Huang
      Pages 180-189
  5. Cluster and Graph Ensembles

    1. Manuele Bicego, Elżbieta Pękalska, Robert P. W. Duin
      Pages 190-199
    2. Stefan T. Hadjitodorov, Ludmila I. Kuncheva
      Pages 200-209
    3. Michal Haindl, Stanislav Mikeš
      Pages 210-219
    4. Kaspar Riesen, Horst Bunke
      Pages 220-230
    5. Jesús Maudes, Juan J. Rodríguez, César García-Osorio
      Pages 231-240
  6. Feature Subspace Ensembles

  7. Multiple Classifier System Theory

    1. Pasquale Foggia, Gennaro Percannella, Carlo Sansone, Mario Vento
      Pages 282-291
    2. Battista Biggio, Giorgio Fumera, Fabio Roli
      Pages 292-301
    3. Albert Hung-Ren Ko, Robert Sabourin, Alceu de Souza Britto Jr.
      Pages 302-311
    4. Samuel Chindaro, Konstantinos Sirlantzis, Michael Fairhurst
      Pages 312-321
    5. Shoushan Li, Chengqing Zong
      Pages 322-332
    6. Claudio Marrocco, Paolo Simeone, Francesco Tortorella
      Pages 333-343
  8. Intramodal and Multimodal Fusion of Biometric Experts

  9. Majority Voting

    1. Yun-Sheng Chung, D. Frank Hsu, Chuan Yi Tang
      Pages 407-420
    2. Hubert Cecotti, Abdel Belaïd
      Pages 421-430
  10. Ensemble Learning

    1. Albert Hung-Ren Ko, Robert Sabourin, Alceu de Souza Britto Jr.
      Pages 431-439
    2. Manuela Zanda, Gavin Brown, Giorgio Fumera, Fabio Roli
      Pages 440-449
    3. Juan J. Rodríguez, Ludmila I. Kuncheva
      Pages 450-458
    4. Ludmila I. Kuncheva, Juan J. Rodríguez
      Pages 459-468
    5. Daniel Kanevskiy, Konstantin Vorontsov
      Pages 469-478
    6. Michael D. Muhlbaier, Robi Polikar
      Pages 490-500

About these proceedings


These proceedings are a record of the Multiple Classi?er Systems Workshop, MCS 2007, held at the Institute of Information Theory and Automation, Czech Academy of Sciences, Prague in May 2007. Being the seventh in a well-established series of meetings providing an international forum for the discussion of issues in multiple classi?er system design, the workshop achieved its objective of bringing together researchers from diverse communities (neural networks, pattern rec- nition, machine learning and statistics) concerned with this research topic. From more than 80 submissions, the Programme Committee selected 49 - pers to create an interesting scienti?c programme. The special focus of MCS 2007 was on the application of multiple classi?er systems in biometrics. This part- ular application area exercises all aspects of multiple classi?er fusion, from - tramodal classi?er combination, through con?dence-based fusion, to multimodal biometric systems. The sponsorship of MCS 2007 by the European Union N- work of Excellence in Biometrics BioSecure and in Multimedia Understanding through Semantics, Computation and Learning MUSCLE and their assistance in selecting the contributions to the MCS 2007 programme consistent with this theme is gratefully acknowledged.


Bayesian network Performance Textur algorithmic learning bayesian networks classification cognition decision trees document analysis ensemble prediction genetic networks learning classifier networks systems theory verification

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2007
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science Computer Science (R0)
  • Print ISBN 978-3-540-72481-0
  • Online ISBN 978-3-540-72523-7
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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