DocumentCode
423640
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
Volume
2
fYear
2004
fDate
25-29 July 2004
Firstpage
903
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2004. Proceedings. 2004 IEEE International Joint Conference on
ISSN
1098-7576
Print_ISBN
0-7803-8359-1
Type
conf
DOI
10.1109/IJCNN.2004.1380050
Filename
1380050
Link To Document