DocumentCode
384269
Title
Analysis of error-reject trade-off in linearly combined classifiers
Author
Roli, Fabio ; Fumera, Giorgio ; Vernazza, Gianni
Author_Institution
Dept. of Electr. & Electron. Eng., Cagliari, Italy
Volume
2
fYear
2002
fDate
2002
Firstpage
120
Abstract
In this paper, a framework for the analysis of the error-reject trade-off in linearly combined classifiers is proposed. We start from a framework developed by Tumer and Ghosh (1996, 1999). We extend this framework and analyse some hypotheses under which the linear combination of classifier outputs can improve the error-reject trade-off of the individual classifiers. Experiments that support some of the analytical results are reported.
Keywords
error statistics; pattern classification; probability; biased correlated errors; classification accuracy; error-reject trade-off analysis; linear combination of classifier outputs; linearly combined classifiers; posterior probabilities; reject threshold; unbiased correlated errors; unbiased uncorrelated errors; Argon; Costs; Equations; Error analysis; Error probability; Estimation error; Optical wavelength conversion; Pattern analysis; Reliability theory; Risk analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2002. Proceedings. 16th International Conference on
ISSN
1051-4651
Print_ISBN
0-7695-1695-X
Type
conf
DOI
10.1109/ICPR.2002.1048252
Filename
1048252
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