Title :
Improved chaotic associative memory using distributed patterns for image retrieval
Author_Institution :
Tokyo Univ. of Technol., Japan
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;
Conference_Titel :
Neural Networks, 2003. Proceedings of the International Joint Conference on
Print_ISBN :
0-7803-7898-9
DOI :
10.1109/IJCNN.2003.1223800
