DocumentCode
927197
Title
On divergence and probability of error in pattern recognition
Author
Babu, C.Chitti
Author_Institution
University of California, Irvine, Calif.
Volume
61
Issue
6
fYear
1973
fDate
6/1/1973 12:00:00 AM
Firstpage
798
Lastpage
799
Abstract
An upperbound on the probability of error in classifying a pattern using Bayesian decision criterion is obtained in terms of its divergence and it is shown that the maximization of the divergence of the pattern minimizes this upperbound. Furthermore, a relationship between the divergence of a pattern and its nearest neighbor classification risk is presented.
Keywords
Bayesian methods; Gaussian processes; Linear matrix inequalities; Marine vehicles; Monte Carlo methods; Nearest neighbor searches; Pattern recognition; Probability density function;
fLanguage
English
Journal_Title
Proceedings of the IEEE
Publisher
ieee
ISSN
0018-9219
Type
jour
DOI
10.1109/PROC.1973.9164
Filename
1451094
Link To Document