Title :
Novel approaches to optimized self-configuration in high performance multiple-expert classifiers
Author :
Rahman, A.F.R. ; Fairhurst, M.C. ; Hoque, S.
Author_Institution :
BCL Technol. Inc, Santa Clara, CA, USA
Abstract :
Classifier combination and the design of multiple expert decision combination strategies are now considered to be very important issues in pattern recognition. This paper describes an investigation covering two important aspects of decision combination: optimization and generality.
Keywords :
optimisation; pattern classification; self-adjusting systems; classifier combination; generality; high-performance multiple-expert classifiers; multiple expert decision combination strategy design; optimization; optimized self-configuration; pattern recognition; Buildings; Character recognition; Conferences; Electronic mail; Filtering; Handwriting recognition; Image classification; Pattern classification; Pattern recognition; Throughput;
Conference_Titel :
Frontiers in Handwriting Recognition, 2002. Proceedings. Eighth International Workshop on
Print_ISBN :
0-7695-1692-0
DOI :
10.1109/IWFHR.2002.1030907
