Multiple Classifier Systems

10th International Workshop, MCS 2011, Naples, Italy, June 15-17, 2011. Proceedings

  • Carlo Sansone
  • Josef Kittler
  • Fabio Roli
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6713)

Table of contents

  1. Front Matter
  2. Invited Papers

  3. Classifier Ensembles I

    1. Larry Shoemaker, Lawrence O. Hall
      Pages 6-15
    2. Nikita Spirin, Konstantin Vorontsov
      Pages 16-25
    3. C. De Stefano, F. Fontanella, G. Folino, A. Scotto di Freca
      Pages 26-35
  4. Classifier Ensembles II

    1. Jaume Gibert, Ernest Valveny, Oriol Ramos Terrades, Horst Bunke
      Pages 36-45
    2. Stefan Faußer, Friedhelm Schwenker
      Pages 56-65
  5. Trees and Forests

    1. José F. Diez-Pastor, César García-Osorio, Juan J. Rodríguez, Andrés Bustillo
      Pages 66-75
    2. Juan J. Rodríguez, José F. Díez-Pastor, César García-Osorio
      Pages 76-85
    3. Yubin Park, Joydeep Ghosh
      Pages 86-95
  6. One-Class Classifiers

    1. Veronika Cheplygina, David M. J. Tax
      Pages 96-105
    2. Pierluigi Casale, Oriol Pujol, Petia Radeva
      Pages 106-115
  7. Multiple Kernels

    1. Wan-Jui Lee, Robert P. W. Duin, Marco Loog
      Pages 116-125
    2. Maxim Panov, Alexander Tatarchuk, Vadim Mottl, David Windridge
      Pages 126-136
    3. Muhammad Awais, Fei Yan, Krystian Mikolajczyk, Josef Kittler
      Pages 137-146
    4. Fei Yan, Krystian Mikolajczyk, Josef Kittler
      Pages 147-156
  8. Classifier Selection

    1. Luana Batista, Eric Granger, Robert Sabourin
      Pages 157-166
    2. Ignazio Pillai, Giorgio Fumera, Fabio Roli
      Pages 167-176

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 10th International Workshop on Multiple Classifier Systems, MCS 2011, held in Naples, Italy, in June 2011. The 36 revised papers presented together with two invited papers were carefully reviewed and selected from more than 50 submissions. The contributions are organized into sessions dealing with classifier ensembles; trees and forests; one-class classifiers; multiple kernels; classifier selection; sequential combination; ECOC; diversity; clustering; biometrics; and computer security.

Keywords

Bayesian learning image retrieval image segmentation kernel methods learning classifier systems motion tracking reinforcement learning

Editors and affiliations

  • Carlo Sansone
    • 1
  • Josef Kittler
    • 2
  • Fabio Roli
    • 3
  1. 1.Department of Computer Engineering and SystemsUniversitá di Napoli Federico IIItaly
  2. 2.Centre for Vision, Speech and Signal ProcessingUniversity of SurreySurreyUK
  3. 3.Department of Electrical and Electronic EngineeringUniversity of CagliariCagliariItaly

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-21557-5
  • Copyright Information Springer-Verlag GmbH Berlin Heidelberg 2011
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-21556-8
  • Online ISBN 978-3-642-21557-5
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349