DocumentCode :
2541637
Title :
Combining rejection-based pattern classifiers
Author :
Mascarilla, Laurent ; Frélicot, Carl
Author_Institution :
Lab. d´´Inf. et d´´Imagerie Ind, La Rochelle Univ., France
fYear :
2000
fDate :
2000
Firstpage :
114
Lastpage :
118
Abstract :
This article deals with the combination of the first stage of two-fold rejection-based classifiers for pattern classification. This Dempster-Shafer´s model-based combination uses some relevant characteristics of the different two-stage classifier strategies we have identified. These strategies differ on the managing of the ambiguity and distance rejection (independently or not). We propose some clever basic probability assignments to reject classes before using the combination rule. After combination, a decision rule is proposed for classifying or rejecting patterns. We emphasize that such rejection is not related to a lack of consensus between the classifiers but to the initial reject options. In case of ambiguity rejection, a class-selective approach has been used. Some illustrative results on artificial data are given
Keywords :
fuzzy set theory; inference mechanisms; pattern classification; probability; uncertainty handling; Dempster-Shafer theory; ambiguity rejection; class-selective approach; combination rule; decision rule; model-based combination; pattern classification; probability assignments; rejection-based pattern classifiers; two-stage classifier; Decision making; Information resources; Reliability theory; Testing; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Information Processing Society, 2000. NAFIPS. 19th International Conference of the North American
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-6274-8
Type :
conf
DOI :
10.1109/NAFIPS.2000.877400
Filename :
877400
Link To Document :
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