DocumentCode
396707
Title
Improved chaotic associative memory using distributed patterns for image retrieval
Author
Osana, Yuko
Author_Institution
Tokyo Univ. of Technol., Japan
Volume
2
fYear
2003
fDate
20-24 July 2003
Firstpage
846
Abstract
We propose an improved chaotic associative memory using distributed patterns for image retrieval. This model is based on our previous work, 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
associative processing; content-addressable storage; image reconstruction; image retrieval; neural nets; self-organising feature maps; distributed patterns; distributed representation patterns; image retrieval; improved chaotic associative memory; multi winners self-organizing neural network; self-organizing manner; Artificial intelligence; Artificial neural networks; Associative memory; Biological neural networks; Chaos; Humans; Image recognition; Image retrieval; Neural networks; Neurons;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2003. Proceedings of the International Joint Conference on
ISSN
1098-7576
Print_ISBN
0-7803-7898-9
Type
conf
DOI
10.1109/IJCNN.2003.1223800
Filename
1223800
Link To Document