Concurrent Self-Organizing Maps for Pattern Classification

  title={Concurrent Self-Organizing Maps for Pattern Classification},
  author={Victor-Emil Neagoe and Armand-Dragos Ropot},
  booktitle={IEEE ICCI},
We present a new neural classification model called Concurrent Self-Organizing Maps (CSOM), representing a winner-takes-all collection of small SOM networks. Each SOM of the system is trained individually to provide best results for one class only. We have considered two significant applications: face recognition and multispectral satellite image classification. For first application, we have used the ORL database of 400 faces (40 classes). With CSOM (40 small linear SOMs), we have obtained a… CONTINUE READING
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Showing 1-10 of 12 references

Concurrent Self-Organizing Maps for Automatic Face Recognition

  • V. Neagoe
  • Proceedings of the 29th International Conference…
  • 2001
1 Excerpt

Dynamic Vision

  • S. Gong, S. J. McKenna, A. Psarron
  • Imperial College Press, London
  • 2000
2 Excerpts

Recunoasterea formelor si retele neurale - algoritmi fundamentali (Pattern Recognition and Neural Networks-Fundamental Algorithms)

  • V. Neagoe, O. Stanasila
  • Ed. Matrix Rom, Bucharest
  • 1999
1 Excerpt

Two- and Three-Dimensional Patterns of the Face

  • P. W. Hallinan, G. C. Gordon, A. L. Yuille, P. Giblin, D. Mumford
  • Natick, A K Peters, Massachusetts
  • 1999

Self-Organizing Maps

  • T. Kohonen
  • Springer- Verlag, Berlin
  • 1995

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