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Structural, Syntactic, and Statistical Pattern Recognition

Joint IAPR International Workshop, SSPR & SPR 2010, Cesme, Izmir, Turkey, August 18-20, 2010. Proceedings

  • Conference proceedings
  • © 2010

Overview

Editors:
  1. Edwin R. Hancock

    1. Computer Vision and Pattern Recognition Group,Computer Science, University of York Heslington, York, United Kingdom

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  2. Richard C. Wilson

    1. Department of Computer Science, University of York, UK

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  3. Terry Windeatt

    1. Centre for Vision, Speech and Signal Proc (CVSSP), University of Surrey, Surrey, United Kingdom

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  4. Ilkay Ulusoy

    1. Electrical and Electronics Engineering Department, Middle East Technical University, Ankara, Turkey

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  5. Francisco Escolano

    1. Department of Computer Science and Artificial Intelligence, University of Alicante, Alicante, Spain

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 6218)

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

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Table of contents (74 papers)

  1. Front Matter

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  2. Invited Talks

    1. From Region Based Image Representation to Object Discovery and Recognition

      • Narendra Ahuja, Sinisa Todorovic
      Pages 1-19

    2. Learning on Manifolds

      • Fatih Porikli
      Pages 20-39

    3. Classification and Trees

      • Luc Devroye
      Pages 40-44

    4. Structural Patterns in Complex Networks through Spectral Analysis

      • Ernesto Estrada
      Pages 45-59

  3. Structural Descriptions

    1. Graph Embedding Using an Edge-Based Wave Kernel

      • Hewayda ElGhawalby, Edwin R. Hancock
      Pages 60-69

    2. A Structured Learning Approach to Attributed Graph Embedding

      • Haifeng Zhao, Jun Zhou, Antonio Robles-Kelly
      Pages 70-79

  4. Machine Learning

    1. Combining Elimination Rules in Tree-Based Nearest Neighbor Search Algorithms

      • Eva Gómez-Ballester, Luisa Micó, Franck Thollard, Jose Oncina, Francisco Moreno-Seco
      Pages 80-89

    2. Localized Projection Learning

      • Kazuki Tsuji, Mineichi Kudo, Akira Tanaka
      Pages 90-99

    3. Entropy-Based Variational Scheme for Fast Bayes Learning of Gaussian Mixtures

      • Antonio Peñalver, Francisco Escolano, Boyan Bonev
      Pages 100-108

  5. Structural Learning

    1. Learning Graph Quantization

      • Brijnesh J. Jain, S. Deepak Srinivasan, Alexander Tissen, Klaus Obermayer
      Pages 109-118

    2. High-Dimensional Spectral Feature Selection for 3D Object Recognition Based on Reeb Graphs

      • Boyan Bonev, Francisco Escolano, Daniela Giorgi, Silvia Biasotti
      Pages 119-128

    3. Dissimilarity-Based Multiple Instance Learning

      • Lauge Sørensen, Marco Loog, David M. J. Tax, Wan-Jui Lee, Marleen de Bruijne, Robert P. W. Duin
      Pages 129-138

    4. A Game Theoretic Approach to Learning Shape Categories and Contextual Similarities

      • Aykut Erdem, Andrea Torsello
      Pages 139-148

  6. Poster Session

    1. A Comparison between Two Representatives of a Set of Graphs: Median vs. Barycenter Graph

      • Itziar Bardaji, Miquel Ferrer, Alberto Sanfeliu
      Pages 149-158

    2. Impact of Visual Information on Text and Content Based Image Retrieval

      • Christophe Moulin, Christine Largeron, Mathias Géry
      Pages 159-169

    3. Automatic Traffic Monitoring from Satellite Images Using Artificial Immune System

      • Mehrad Eslami, Karim Faez
      Pages 170-179

    4. Graduated Assignment Algorithm for Finding the Common Labelling of a Set of Graphs

      • Albert Solé-Ribalta, Francesc Serratosa
      Pages 180-190

    5. Affinity Propagation for Class Exemplar Mining

      • Shengping Xia, Rui Song, Edwin R. Hancock
      Pages 191-201

    6. Guided Informative Image Partitioning

      • Nathan Brewer, Nianjun Liu, Lei Wang
      Pages 202-212
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  1. Structural, Syntactic, and Statistical Pattern Recognition

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About this book

This volume in the Springer Lecture Notes in Computer Science (LNCS) series contains the papers presented at the S+SSPR 2010 Workshops, which was the seventh occasion that SPR and SSPR workshops have been held jointly. S+SSPR 2010 was organized by TC1 and TC2, Technical Committees of the International Association for Pattern Recognition(IAPR), andheld inCesme, Izmir, whichis a seaside resort on the Aegean coast of Turkey. The conference took place during August 18–20, 2010, only a few days before the 20th International Conference on Pattern Recognition (ICPR) which was held in Istanbul. The aim of the series of workshops is to create an international forum for the presentation of the latest results and exchange of ideas between researchers in the ?elds of statistical and structural pattern recognition. SPR 2010 and SSPR 2010 received a total of 99 paper submissions from many di?erent countries around the world, giving it a truly international perspective, as has been the case for previous S+SSPR workshops. This volume contains 70 accepted papers, 39 for oral and 31 for poster presentation. In addition to par- lel oral sessions for SPR and SSPR, there were two joint oral sessions of interest to both SPR and SSPR communities. Furthermore, to enhance the workshop experience, there were two joint panel sessions on “Structural Learning” and “Clustering,” in which short author presentations were followed by discussion. Another innovation this year was the ?lming of the proceedings by Videol- tures.

Editors and Affiliations

  • Computer Vision and Pattern Recognition Group,Computer Science, University of York Heslington, York, United Kingdom

    Edwin R. Hancock

  • Department of Computer Science, University of York, UK

    Richard C. Wilson

  • Centre for Vision, Speech and Signal Proc (CVSSP), University of Surrey, Surrey, United Kingdom

    Terry Windeatt

  • Electrical and Electronics Engineering Department, Middle East Technical University, Ankara, Turkey

    Ilkay Ulusoy

  • Department of Computer Science and Artificial Intelligence, University of Alicante, Alicante, Spain

    Francisco Escolano

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