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Pattern Recognition with Support Vector Machines

First International Workshop, SVM 2002, Niagara Falls, Canada, August 10, 2002. Proceedings

  • Conference proceedings
  • © 2002

Overview

Editors:
  1. Seong-Whan Lee

    1. Department of Computer Science and Engineering, Korea University, Seoul, Korea

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  2. Alessandro Verri

    1. Dipartimento di Informatica e Scienze dell’Informazione, Università di Genova, Genova, Italy

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 2388)

Included in the following conference series:

Conference proceedings info: SVM 2002.

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Table of contents (32 papers)

  1. Front Matter

    Pages I-XI
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  2. Invited Papers

    1. Predicting Signal Peptides with Support Vector Machines

      • Neelanjan Mukherjee, Sayan Mukherjee
      Pages 1-7

    2. Scaling Large Learning Problems with Hard Parallel Mixtures

      • Ronan Collobert, Yoshua Bengio, Samy Bengio
      Pages 8-23

  3. Computational Issues

    1. On the Generalization of Kernel Machines

      • Pablo Navarrete, Javier Ruiz del Solar
      Pages 24-39

    2. Kernel Whitening for One-Class Classification

      • David M. J. Tax, Piotr Juszczak
      Pages 40-52

    3. A Fast SVM Training Algorithm

      • Jian-xiong Dong, Adam Krzyżak, Ching Y. Suen
      Pages 53-67

    4. Support Vector Machines with Embedded Reject Option

      • Giorgio Fumera, Fabio Roli
      Pages 68-82

  4. Object Recognition

    1. Image Kernels

      • Annalisa Barla, Emanuele Franceschi, Francesca Odone, Alessandro Verri
      Pages 83-96

    2. Combining Color and Shape Information for Appearance-Based Object Recognition Using Ultrametric Spin Glass-Markov Random Fields

      • B. Caputo, Gy. Dorkó, H. Niemann
      Pages 97-111

    3. Maintenance Training of Electric Power Facilities Using Object Recognition by SVM

      • Chikahito Nakajima, Massimiliano Pontil
      Pages 112-119

    4. Kerneltron: Support Vector ‘Machine’ in Silicon

      • Roman Genov, Gert Cauwenberghs
      Pages 120-134

  5. Pattern Recognition

    1. Advances in Component-Based Face Detection

      • Stanley M. Bileschi, Bernd Heisele
      Pages 135-143

    2. Support Vector Learning for Gender Classification Using Audio and Visual Cues: A Comparison

      • L. Walawalkar, Mohammad Yeasin, Anand M. Narasimhamurthy, Rajeev Sharma
      Pages 144-159

    3. Analysis of Nonstationary Time Series Using Support Vector Machines

      • Ming-Wei Chang, Chih-Jen Lin, Ruby C. Weng
      Pages 160-170

    4. Recognition of Consonant-Vowel (CV) Units of Speech in a Broadcast News Corpus Using Support Vector Machines

      • C. Chandra Sekhar, Kazuya Takeda, Fumitada Itakura
      Pages 171-185

  6. Applications

    1. Anomaly Detection Enhanced Classification in Computer Intrusion Detection

      • Mike Fugate, James R. Gattiker
      Pages 186-197

    2. Sparse Correlation Kernel Analysis and Evolutionary Algorithm-Based Modeling of the Sensory Activity within the Rat’s Barrel Cortex

      • Mariofanna Milanova, Tomasz G. Smolinski, Grzegorz M. Boratyn, Jacek M. Zurada, Andrzej Wrobel
      Pages 198-212

    3. Applications of Support Vector Machines for Pattern Recognition: A Survey

      • Hyeran Byun, Seong-Whan Lee
      Pages 213-236

    4. Typhoon Analysis and Data Mining with Kernel Methods

      • Asanobu Kitamoto
      Pages 237-249

  7. Poster Papers

    1. Support Vector Features and the Role of Dimensionality in Face Authentication

      • Fabrizio Smeraldi, Josef Bigun, Wulfram Gerstner
      Pages 249-259
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Editors and Affiliations

  • Department of Computer Science and Engineering, Korea University, Seoul, Korea

    Seong-Whan Lee

  • Dipartimento di Informatica e Scienze dell’Informazione, Università di Genova, Genova, Italy

    Alessandro Verri

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