DocumentCode
1405596
Title
Competitive learning with subspace search in transform domain
Author
Wen-Jyi Hwang
Author_Institution
Dept. of Electr. Eng., Chung Yuan Christian Univ., Chung Li
Volume
34
Issue
12
fYear
1998
fDate
6/11/1998 12:00:00 AM
Firstpage
1240
Lastpage
1241
Abstract
A new competitive learning (CL) algorithm with k-winners-take-all activation is presented. The k winning neurons for updating are those best matching the input vector in the wavelet domain with subspace search. Simulation results show that the algorithm gives a better performance than that of the traditional CL algorithm while requiring much less computational time
Keywords
image coding; neural nets; unsupervised learning; vector quantisation; wavelet transforms; VQ; competitive learning; computational time; input vector; k-winners-take-all activation; subspace search; transform domain; updating; wavelet domain;
fLanguage
English
Journal_Title
Electronics Letters
Publisher
iet
ISSN
0013-5194
Type
jour
DOI
10.1049/el:19980858
Filename
702398
Link To Document