DocumentCode
327710
Title
Strategies for weighted combination of classifiers employing shared and distinct representations
Author
Hojjatoleslami, A. ; Kittler, J.
Author_Institution
Sch. of Electron. Eng., Inf. Technol. & Math., Surrey Univ., Guildford, UK
Volume
1
fYear
1998
fDate
16-20 Aug 1998
Firstpage
338
Abstract
We present a theoretical framework for combining soft decision outputs of multiple experts employing mixed (some shared and some distinct) representations of patterns to be classified. Using this framework combination strategies are developed and their error sensitivity studied We show that nonuniform weighting combination strategies can be derived by taking into account the confidence of experts in their output
Keywords
pattern classification; error sensitivity; expert confidence; multiple experts; nonuniform weighting combination strategies; pattern representations; soft decision outputs; weighted classifier combination; Bayesian methods; Councils; Information technology; Mathematics; Pattern recognition; Performance analysis; Probability density function; Signal processing; Speech processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on
Conference_Location
Brisbane, Qld.
ISSN
1051-4651
Print_ISBN
0-8186-8512-3
Type
conf
DOI
10.1109/ICPR.1998.711149
Filename
711149
Link To Document