Title :
Chaotic associative memory using distributed patterns for image retrieval by shape information
Author :
KOSUGE, Satoshi ; Osana, Yuko
Author_Institution :
Tokyo Univ. of Technol., Japan
Abstract :
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.
Keywords :
chaos; content-addressable storage; image retrieval; pattern classification; self-organising feature maps; chaotic associative memory; distributed patterns; image retrieval; multiwinners self organizing neural network; shape information; superimposed pattern separation; Associative memory; Biological neural networks; Chaos; Computer aided manufacturing; Humans; Image retrieval; Information retrieval; Neural networks; Neurons; Shape;
Conference_Titel :
Neural Networks, 2004. Proceedings. 2004 IEEE International Joint Conference on
Print_ISBN :
0-7803-8359-1
DOI :
10.1109/IJCNN.2004.1380050
