Title :
Chaotic associative memory using distributed patterns for image retrieval
Author_Institution :
Tokyo Univ. of Technol., Japan
fDate :
6/24/1905 12:00:00 AM
Abstract :
We propose a chaotic associative memory (CAM) using distributed patterns for image retrieval. This model is based on the CAM 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; self-organising feature maps; chaotic associative memory; distributed patterns; image retrieval; multi winners self-organizing neural network; superimposed patterns; Associative memory; Biological neural networks; CADCAM; Chaos; Computer aided manufacturing; Humans; Image retrieval; Neural networks; Neurons; Organizing;
Conference_Titel :
Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7278-6
DOI :
10.1109/IJCNN.2002.1007551
