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Call for papers

We expect contributions related to the theoretical and methodological aspects of the self-organizing map, learning vector quantization and related fields as well as respective applications. Topics include: Data analysis and visualization and modeling dynamic phenomena Mathematical aspects including information theory and mathematical statistics Architectural solutions including hierarchical and growing networks, ensemble models and special metrics Neuro-cognitive studies that compare modeling and empirical results at different levels Software and hardware implementations Outstanding applications emphasizing special aspects of the models
The second call for papers is available here: pdf poster version
Publication: Papers accepted for the WSOM 2014 Proceedings will be published in the Springer series, Advances in Intelligent Systems and Computing. Registered authors will receive a hard copy proceedings volume, and the proceedings will be available also in full-text electronic format via Springer’s internet platform www.springer.com .
We also call for scientific and practice-oriented papers that describe the use of self-organizing maps with 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 Robotics and intelligent systems Image processing and vision Speech processing Language modeling Text and document analysis
WSOM 2014, 10th WORKSHOP ON SELF-ORGANIZING MAPS, 02-04 July 2014, Mittweida, Germany
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