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Advances in Self-Organizing Maps

7th International Workshop, WSOM 2009, St. Augustine, Florida, June 8-10, 2009. Proceedings

  • Conference proceedings
  • © 2009

Overview

Editors:
  1. José C. Príncipe

    1. Computational NeuroEngineering Laboratory, University of Florida,, Gainesville, USA

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    You can also search for this editor in PubMed   Google Scholar

  2. Risto Miikkulainen

    1. Department of Computer Sciences, The University of Texas at Austin, Austin, USA

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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 5629)

Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)

Included in the following conference series:

Conference proceedings info: WSOM 2009.

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Table of contents (41 papers)

  1. Front Matter

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  2. Batch-Learning Self-Organizing Map for Predicting Functions of Poorly-Characterized Proteins Massively Accumulated

    • Takashi Abe, Shigehiko Kanaya, Toshimichi Ikemura
    Pages 1-9

  3. Incremental Unsupervised Time Series Analysis Using Merge Growing Neural Gas

    • Andreas Andreakis, Nicolai v. Hoyningen-Huene, Michael Beetz
    Pages 10-18

  4. Clustering Hierarchical Data Using Self-Organizing Map: A Graph-Theoretical Approach

    • Argyris Argyrou
    Pages 19-27

  5. Time Series Clustering for Anomaly Detection Using Competitive Neural Networks

    • Guilherme A. Barreto, Leonardo Aguayo
    Pages 28-36

  6. Fault Prediction in Aircraft Engines Using Self-Organizing Maps

    • Marie Cottrell, Patrice Gaubert, Cédric Eloy, Damien François, Geoffroy Hallaux, Jérôme Lacaille et al.
    Pages 37-44

  7. Incremental Figure-Ground Segmentation Using Localized Adaptive Metrics in LVQ

    • Alexander Denecke, Heiko Wersing, Jochen J. Steil, Edgar Körner
    Pages 45-53

  8. Application of Supervised Pareto Learning Self Organizing Maps and Its Incremental Learning

    • Hiroshi Dozono, Shigeomi Hara, Shinsuke Itou, Masanori Nakakuni
    Pages 54-62

  9. Gamma SOM for Temporal Sequence Processing

    • Pablo A. Estévez, Rodrigo Hernández
    Pages 63-71

  10. Fuzzy Variant of Affinity Propagation in Comparison to Median Fuzzy c-Means

    • T. Geweniger, D. Zühlke, B. Hammer, Thomas Villmann
    Pages 72-79

  11. Clustering with Swarm Algorithms Compared to Emergent SOM

    • Lutz Herrmann, Alfred Ultsch
    Pages 80-88

  12. Cartograms, Self-Organizing Maps, and Magnification Control

    • Roberto Henriques, Fernando Bação, Victor Lobo
    Pages 89-97

  13. Concept Mining with Self-Organizing Maps for the Semantic Web

    • Timo Honkela, Matti Pöllä
    Pages 98-106

  14. ViSOM for Dimensionality Reduction in Face Recognition

    • Weilin Huang, Hujun Yin
    Pages 107-115

  15. Early Recognition of Gesture Patterns Using Sparse Code of Self-Organizing Map

    • Manabu Kawashima, Atsushi Shimada, Rin-ichiro Taniguchi
    Pages 116-123

  16. Bag-of-Features Codebook Generation by Self-Organisation

    • Teemu Kinnunen, Joni-Kristian Kamarainen, Lasse Lensu, Heikki Kälviäinen
    Pages 124-132

  17. On the Quantization Error in SOM vs. VQ: A Critical and Systematic Study

    • Teuvo Kohonen, Ilari T. Nieminen, Timo Honkela
    Pages 133-144

  18. Approaching the Time Dependent Cocktail Party Problem with Online Sparse Coding Neural Gas

    • Kai Labusch, Erhardt Barth, Thomas Martinetz
    Pages 145-153

  19. Career-Path Analysis Using Optimal Matching and Self-Organizing Maps

    • Sébastien Massoni, Madalina Olteanu, Patrick Rousset
    Pages 154-162

  20. Network-Structured Particle Swarm Optimizer with Various Topology and Its Behaviors

    • Haruna Matsushita, Yoshifumi Nishio
    Pages 163-171
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About this book

th These proceedings contain refereed papers presented at the 7 WSOM held at the Casa Monica Hotel, St. Augustine, Florida, June 8–10, 2009. We designed the wo- shop to serve as a regular forum for researchers in academia and industry who are interested in the exciting field of self-organizing maps (SOM). The program includes excellent examples of the use of SOM in many areas of social sciences, economics, computational biology, engineering, time series analysis, data visualization and c- puter science as well a vibrant set of theoretical papers that keep pushing the envelope of the original SOM. Our deep appreciation is extended to Teuvo Kohonen and Ping Li for the plenary talks and Amaury Lendasse for the organization of the special sessions. Our sincere thanks go to the members of the Technical Committee and other reviewers for their excellent and timely reviews, and above all to the authors whose contributions made this workshop possible. Special thanks go to Julie Veal for her dedication and hard work in coordinating the many details necessary to put together the program and local arrangements. Jose C. Principe Risto Miikkulainen

Editors and Affiliations

  • Computational NeuroEngineering Laboratory, University of Florida,, Gainesville, USA

    José C. Príncipe

  • Department of Computer Sciences, The University of Texas at Austin, Austin, USA

    Risto Miikkulainen

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