Skip to main content
SpringerLink
Log in
Book cover

Multiple Classifier Systems

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

  • Conference proceedings
  • © 2011

Overview

Editors:
  1. Carlo Sansone

    1. Department of Computer Engineering and Systems, Universitá di Napoli Federico II, Italy

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Josef Kittler

    1. Centre for Vision, Speech and Signal Processing, University of Surrey, Surrey, UK

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Fabio Roli

    1. Department of Electrical and Electronic Engineering, University of Cagliari, Cagliari, Italy

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Up-to-date results
  • Fast-track conference proceedings
  • State-of-the-art research

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 6713)

Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)

Included in the following conference series:

Conference proceedings info: MCS 2011.

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (38 papers)

  1. Front Matter

    Download chapter PDF

  3. Classifier Ensembles I

    1. Anomaly Detection Using Ensembles

      • Larry Shoemaker, Lawrence O. Hall
      Pages 6-15

    2. Learning to Rank with Nonlinear Monotonic Ensemble

      • Nikita Spirin, Konstantin Vorontsov
      Pages 16-25

    3. A Bayesian Approach for Combining Ensembles of GP Classifiers

      • C. De Stefano, F. Fontanella, G. Folino, A. Scotto di Freca
      Pages 26-35

  4. Classifier Ensembles II

    1. Multiple Classifiers for Graph of Words Embedding

      • Jaume Gibert, Ernest Valveny, Oriol Ramos Terrades, Horst Bunke
      Pages 36-45

    2. A Dynamic Logistic Multiple Classifier System for Online Classification

      • Amber Tomas
      Pages 46-55

    3. Ensemble Methods for Reinforcement Learning with Function Approximation

      • Stefan Faußer, Friedhelm Schwenker
      Pages 56-65

  5. Trees and Forests

    1. GRASP Forest: A New Ensemble Method for Trees

      • José F. Diez-Pastor, César García-Osorio, Juan J. Rodríguez, Andrés Bustillo
      Pages 66-75

    2. Ensembles of Decision Trees for Imbalanced Data

      • Juan J. Rodríguez, José F. Díez-Pastor, César García-Osorio
      Pages 76-85

    3. Compact Ensemble Trees for Imbalanced Data

      • Yubin Park, Joydeep Ghosh
      Pages 86-95

  6. One-Class Classifiers

    1. Pruned Random Subspace Method for One-Class Classifiers

      • Veronika Cheplygina, David M. J. Tax
      Pages 96-105

    2. Approximate Convex Hulls Family for One-Class Classification

      • Pierluigi Casale, Oriol Pujol, Petia Radeva
      Pages 106-115

  7. Multiple Kernels

    1. Generalized Augmentation of Multiple Kernels

      • Wan-Jui Lee, Robert P. W. Duin, Marco Loog
      Pages 116-125

    2. A Modified Neutral Point Method for Kernel-Based Fusion of Pattern-Recognition Modalities with Incomplete Data Sets

      • Maxim Panov, Alexander Tatarchuk, Vadim Mottl, David Windridge
      Pages 126-136

    3. Two-Stage Augmented Kernel Matrix for Object Recognition

      • Muhammad Awais, Fei Yan, Krystian Mikolajczyk, Josef Kittler
      Pages 137-146

    4. Multiple Kernel Learning via Distance Metric Learning for Interactive Image Retrieval

      • Fei Yan, Krystian Mikolajczyk, Josef Kittler
      Pages 147-156

  8. Classifier Selection

    1. Dynamic Ensemble Selection for Off-Line Signature Verification

      • Luana Batista, Eric Granger, Robert Sabourin
      Pages 157-166

    2. Classifier Selection Approaches for Multi-label Problems

      • Ignazio Pillai, Giorgio Fumera, Fabio Roli
      Pages 167-176
Back to top

Other volumes

  1. Multiple Classifier Systems

Keywords

About this book

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.

Editors and Affiliations

  • Department of Computer Engineering and Systems, Universitá di Napoli Federico II, Italy

    Carlo Sansone

  • Centre for Vision, Speech and Signal Processing, University of Surrey, Surrey, UK

    Josef Kittler

  • Department of Electrical and Electronic Engineering, University of Cagliari, Cagliari, Italy

    Fabio Roli

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation