Title :
Optimum guard zone for self-supervised learning
Author_Institution :
Imperial College of Science and Technology, Electrical Engineering Department, London, UK
fDate :
1/1/1982 12:00:00 AM
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;
Journal_Title :
Computers and Digital Techniques, IEE Proceedings E
DOI :
10.1049/ip-e.1982.0002
