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Chaotic associative memory using distributed patterns for image retrieval by shape information

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2 Author(s)
S. Kosuge ; Tokyo Univ. of Technol., Japan ; Y. Osana

We propose a chaotic associative memory using distributed patterns for image retrieval by shape information. This model is based on the chaotic associative memory using distributed patterns that is based on the chaotic associative memory which can separate superimposed patterns and the multi winners self-organizing neural network which has the ability to generate distributed representation patterns corresponding to input in a self-organizing manner.

Published in:

Neural Networks, 2004. Proceedings. 2004 IEEE International Joint Conference on  (Volume:2 )

Date of Conference:

25-29 July 2004