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Structural, Syntactic, and Statistical Pattern Recognition

Joint IAPR International Workshops, SSPR 2004 and SPR 2004, Lisbon, Portugal, August 18-20, 2004 Proceedings

  • Conference proceedings
  • © 2004

Overview

Editors:
  1. Ana Fred

    1. Instituto Superior Técnico, Instituto de Telecomunicações, Lisbon, Portugal

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  2. Terry M. Caelli

    1. RSISE, the Australian National University, Canberra, Australia

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  3. Robert P. W. Duin

    1. Information and Communication Theory Group, Delft University of Technology, Delft, The Netherlands

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  4. Aurélio C. Campilho

    1. FEUP - Faculdade de Engenharia, Universidade do Porto, Porto, Portugal

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  5. Dick de Ridder

    1. Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology, Information and Communication Theory Group, Delft, The Netherlands

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 3138)

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Table of contents (127 papers)

  1. Poster Papers

    1. Shape Analysis

      1. Matching Concavity Trees
        • Ossama El Badawy, Mohamed Kamel
        Pages 556-564

  2. SPR

    1. Multiple Classifier Systems I

      1. Combining Classifier for Face Identification at Unknown Views with a Single Model Image
        • Tae-Kyun Kim, Josef Kittler
        Pages 565-573
      2. A Logodds Criterion for Selection of Diagnostic Tests
        • Christopher J. Whitaker, Ludmila I. Kuncheva, Peter D. Cockcroft
        Pages 574-582
      3. Evaluation of Classical and Novel Ensemble Methods for Handwritten Word Recognition
        • Simon Günter, Horst Bunke
        Pages 583-591
      4. Improving Support Vector Classification via the Combination of Multiple Sources of Information
        • Javier M. Moguerza, Alberto Muñoz, Isaac Martín de Diego
        Pages 592-600

    2. Multiple Classifier Systems II

      1. Fusing Segmentation and Classification from Multiple Features
        • Roberto Manduchi
        Pages 601-608
      2. A Classifier Combination Tree Algorithm
        • Ross A. McDonald, Idris A. Eckley, David J. Hand
        Pages 609-617
      3. Bounds for the Average Generalization Error of the Mixture of Experts Neural Network
        • Luís A. Alexandre, Aurélio Campilho, Mohamed Kamel
        Pages 618-625

    3. Density Estimation

      1. An Effective EM Algorithm for PCA Mixture Model
        • Zhong Jin, Franck Davoine, Zhen Lou
        Pages 626-634
      2. EM Initialisation for Bernoulli Mixture Learning
        • Alfons Juan, José García-Hernández, Enrique Vidal
        Pages 635-643
      3. A New Family of Weak Estimators for Training in Non-stationary Distributions
        • B. John Oommen, Luis Rueda
        Pages 644-652
      4. Path Relinking Particle Filter for Human Body Pose Estimation
        • Juan José Pantrigo, Ángel Sánchez, Kostas Gianikellis, Abraham Duarte
        Pages 653-661

    4. Clustering I

      1. Clustering with Soft and Group Constraints
        • Martin H. C. Law, Alexander Topchy, Anil K. Jain
        Pages 662-670
      2. Learning from General Label Constraints
        • Tijl De Bie, Johan Suykens, Bart De Moor
        Pages 671-679
      3. Solving the One-Class Problem Using Neighbourhood Measures
        • Javier M. Moguerza, Alberto Muñoz
        Pages 680-688

    5. Clustering II

      1. Detection of a Single Texture in Colour Images
        • Linjiang Yu, Georgy Gimel’farb
        Pages 689-697
      2. Clustering Based Under-Sampling for Improving Speaker Verification Decisions Using AdaBoost
        • Hakan Altınçay, Cem Ergün
        Pages 698-706

    6. Feature Selection

      1. Control of Sparseness for Feature Selection
        • Erinija Pranckeviciene, Richard Baumgartner, Ray Somorjai, Christopher Bowman
        Pages 707-715
      2. On Prediction Mechanisms in Fast Branch & Bound Algorithms
        • Petr Somol, Pavel Pudil, Jiří Grim
        Pages 716-724

    7. Classification I

      1. Structures of Covariance Matrix in Handwritten Character Recognition
        • Šarūnas Raudys, Masakazu Iwamura
        Pages 725-733
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  1. Structural, Syntactic, and Statistical Pattern Recognition

Keywords

Editors and Affiliations

  • Instituto Superior Técnico, Instituto de Telecomunicações, Lisbon, Portugal

    Ana Fred

  • RSISE, the Australian National University, Canberra, Australia

    Terry M. Caelli

  • Information and Communication Theory Group, Delft University of Technology, Delft, The Netherlands

    Robert P. W. Duin

  • FEUP - Faculdade de Engenharia, Universidade do Porto, Porto, Portugal

    Aurélio C. Campilho

  • Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology, Information and Communication Theory Group, Delft, The Netherlands

    Dick de Ridder

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