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Multiple Classifier Systems

12th International Workshop, MCS 2015, Günzburg, Germany, June 29 - July 1, 2015, Proceedings

  • Conference proceedings
  • © 2015

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Editors:
  1. Friedhelm Schwenker

    1. Ulm University, Ulm, Germany

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  2. Fabio Roli

    1. University of Cagliari, Cagliari, Italy

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  3. Josef Kittler

    1. University of Surrey, Guildford, United Kingdom

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9132)

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 2015.

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Table of contents (19 papers)

  1. Front Matter

    Pages I-X
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  2. Theory and Algorithms

    1. Front Matter

      Pages 1-1
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    2. A Novel Bagging Ensemble Approach for Variable Ranking and Selection for Linear Regression Models

      • Chun-Xia Zhang, Jiang-She Zhang, Guan-Wei Wang
      Pages 3-14

    3. A Hierarchical Ensemble Method for DAG-Structured Taxonomies

      • Peter N. Robinson, Marco Frasca, Sebastian Köhler, Marco Notaro, Matteo Re, Giorgio Valentini
      Pages 15-26

    4. Diversity Measures and Margin Criteria in Multi-class Majority Vote Ensemble

      • Ayako Mikami, Mineichi Kudo, Atsuyoshi Nakamura
      Pages 27-37

    5. Fractional Programming Weighted Decoding for Error-Correcting Output Codes

      • Firat Ismailoglu, I. G. Sprinkhuizen-Kuyper, Evgueni Smirnov, Sergio Escalera, Ralf Peeters
      Pages 38-50

    6. Instance-Based Decompositions of Error Correcting Output Codes

      • Firat Ismailoglu, Evgueni Smirnov, Nikolay Nikolaev, Ralf Peeters
      Pages 51-63

    7. Pruning Bagging Ensembles with Metalearning

      • Fábio Pinto, Carlos Soares, João Mendes-Moreira
      Pages 64-75

    8. Multi-label Selective Ensemble

      • Nan Li, Yuan Jiang, Zhi-Hua Zhou
      Pages 76-88

    9. Supervised Selective Combination of Diverse Object-Representation Modalities for Regression Estimation

      • Olga Krasotkina, Oleg Seredin, Vadim Mottl
      Pages 89-99

    10. Detecting Ordinal Class Structures

      • Raphael Lattke, Ludwig Lausser, Christoph Müssel, Hans A. Kestler
      Pages 100-111

    11. Calibrating AdaBoost for Asymmetric Learning

      • Nikolaos Nikolaou, Gavin Brown
      Pages 112-124

    12. Building Classifier Ensembles Using Greedy Graph Edit Distance

      • Kaspar Riesen, Miquel Ferrer, Andreas Fischer
      Pages 125-134

    13. Measuring the Stability of Feature Selection with Applications to Ensemble Methods

      • Sarah Nogueira, Gavin Brown
      Pages 135-146

    14. Suboptimal Graph Edit Distance Based on Sorted Local Assignments

      • Kaspar Riesen, Miquel Ferrer, Horst Bunke
      Pages 147-156

  3. Application and Evaluation

    1. Front Matter

      Pages 157-157
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    2. Multimodal PLSA for Movie Genre Classification

      • Hao-Zhi Hong, Jen-Ing G. Hwang
      Pages 159-167

    3. One-and-a-Half-Class Multiple Classifier Systems for Secure Learning Against Evasion Attacks at Test Time

      • Battista Biggio, Igino Corona, Zhi-Min He, Patrick P. K. Chan, Giorgio Giacinto, Daniel S. Yeung et al.
      Pages 168-180

    4. An Experimental Study on Combining Binarization Techniques and Ensemble Methods of Decision Trees

      • Juan J. Rodríguez, José F. Díez-Pastor, Álvar Arnaiz-González, César García-Osorio
      Pages 181-193

    5. Decision Tree-Based Multiple Classifier Systems: An FPGA Perspective

      • Mario Barbareschi, Salvatore Del Prete, Francesco Gargiulo, Antonino Mazzeo, Carlo Sansone
      Pages 194-205
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About this book

This book constitutes the refereed proceedings of the 12th International Workshop on Multiple Classifier Systems, MCS 2015, held in Günzburg, Germany, in June/July 2015. The 19 revised papers presented were carefully reviewed and selected from 25 submissions. The papers address issues in multiple classifier systems and ensemble methods, including pattern recognition, machine learning, neural network, data mining and statistics. They are organized in topical sections on theory and algorithms and application and evaluation.

Editors and Affiliations

  • Ulm University, Ulm, Germany

    Friedhelm Schwenker

  • University of Cagliari, Cagliari, Italy

    Fabio Roli

  • University of Surrey, Guildford, United Kingdom

    Josef Kittler

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