Call for Papers

Topics in Theory, Methods and Applications

We expect contributions related to the theoretical and methodological aspects of the self-organizing map including:

  • Data analysis and visualization with a special topic of modeling dynamic phenomena
  • Various mathematical approaches including information theory and mathematical statistics
  • Software and hardware implementations
  • Architectural solutions including hierarchical and growing networks, ensemble models and special metrics
  • Neuro-cognitive studies that compare modeling and empirical results at different levels
  • Models, experimental investigations and applications of autonomous mental development.

Contributions related to learning vector quantization methods are also encouraged. We also call for scientific and practice-oriented papers that describe the use of self-organizing maps and their variants in different application areas including but not limited to:

  • Data mining
  • Pattern recognition
  • Signal processing
  • Knowledge management
  • Time series processing
  • Industrial applications
  • Bioinformatics
  • Biomedical applications
  • Telecommunications
  • Financial analysis
  • Cognitive modeling
  • Language modeling
  • Robotics and intelligent systems
  • Image processing and vision
  • Speech processing
  • Text and document analysis

Publication

All accepted papers will be published by Springer in their Advances in Intelligent Systems and Computing book series and at http://www.springer.com/. Extended versions of selected papers from WSOM 2012 will be published in a special issue of the Neurocomputing journal (Elsevier).