DocumentCode
3003779
Title
A mixed stochastic optimization algorithm and its applications in pattern recognition
Author
Devroye, L.P.
Author_Institution
Osaka University, Japan
fYear
1973
fDate
5-7 Dec. 1973
Firstpage
356
Lastpage
360
Abstract
The problem of the minimization of a functional of several parameters is treated. It is supposed that the gradient of the functional is known but the stochastic approximation method cannot be applied since its convergence is not guaranteed due to the form of the functional. A mixed random search-stochastic approximation method insuring this convergence is developed. Several applications in the field of pattern recognition are highlighted.
Keywords
Approximation algorithms; Approximation methods; Automata; Automatic control; Convergence; Feature extraction; Minimization methods; Pattern recognition; Space stations; Stochastic processes;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control including the 12th Symposium on Adaptive Processes, 1973 IEEE Conference on
Conference_Location
San Diego, CA, USA
Type
conf
DOI
10.1109/CDC.1973.269190
Filename
4045103
Link To Document