DocumentCode
919918
Title
Optimum guard zone for self-supervised learning
Author
Pal, S.K.
Author_Institution
Imperial College of Science and Technology, Electrical Engineering Department, London, UK
Volume
129
Issue
1
fYear
1982
fDate
1/1/1982 12:00:00 AM
Firstpage
9
Abstract
A self-supervised learning algorithm using fuzzy set and the concept of guard zones around the class representative vectors is presented and demonstrated for vowel recognition. An optimum guard zone having the best match with the fully supervised performance is determined. Results are also compared with that of nonsupervised case for various orders of input patterns.
Keywords
fuzzy set theory; pattern recognition; class representative vectors; fuzzy set; guard zone concept; learning algorithm; self supervised learning; vowel recognition;
fLanguage
English
Journal_Title
Computers and Digital Techniques, IEE Proceedings E
Publisher
iet
ISSN
0143-7062
Type
jour
DOI
10.1049/ip-e.1982.0002
Filename
4645190
Link To Document