1. Editorial

   • Josef Kittler
   • Fabio Repoli

   Pages: 101 - 101

2. A Data Complexity Analysis of Comparative Advantages of Decision Forest Constructors

   • Tin Kam Ho

   Pages: 102 - 112

3. A Hybrid Projection-based and Radial Basis Function Architecture: Initial Values and Global Optimisation

   • S. Cohen
   • N. Intrator

   Pages: 113 - 120

4. Bagging, Boosting and the Random Subspace Method for Linear Classifiers

   • Marina Skurichina
   • Robert P. W. Duin

   Pages: 121 - 135

5. A Multi-Classifier Approach to Fingerprint Classification

   • Raffaele Cappelli
   • Dario Maio
   • Davide Maltoni

   Pages: 136 - 144

6. Learning to Listen to the Right Information Retrieval System

   • Christopher C. LuVogt

   Pages: 145 - 153

7. Observational Learning Algorithm for an Ensemble of Neural Networks

   • Min Jang
   • Sungzoon Cho

   Pages: 154 - 167

8. Combining Discriminant Models with New Multi-Class SVMs

   • Yann Guermeur

   Pages: 168 - 179

9. Multiple Classifier Systems: Software Engineered, Automatically Modular Leading to a Taxonomic Overview

   • Derek Partridge
   • Niall Griffith

   Pages: 180 - 188

10. Robust Combining of Disparate Classifiers through Order Statistics

    • Kagan Tumer
    • Joydeep Ghosh

    Pages: 189 - 200

11. Combining Different Methods and Numbers of Weak Decision Trees

    • Patrice Latinne
    • Olivier Debeir
    • Christine Decaestecker

    Pages: 201 - 209

12. Hierarchical Fusion of Multiple Classifiers for Hyperspectral Data Analysis

    • Shailesh Kumar
    • Joydeep Ghosh
    • Melba M. Crawford

    Pages: 210 - 220

13. Multiple Classifier Fusion in Probabilistic Neural Networks

    • Jiří Grim
    • Josef Kittler
    • Petr Somol

    Pages: 221 - 233

14. Reject Strategies Driven Combination of Pattern Classifiers

    • Laurent Mascarilla
    • Carl Frélicot

    Pages: 234 - 243