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Analysis of Error-Reject Trade-off in Linearly Combined Classifiers
Quebec City, QC, Canada August 11-August 15
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2002.104825216th International Conference on Patt ...
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Fabio Roli, University of Cagliari
Giorgio Fumera, University of Cagliari
Gianni Vernazza, University of Genova
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 [1, 2]. 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.
Citation:
Fabio Roli, Giorgio Fumera, Gianni Vernazza, "Analysis of Error-Reject Trade-off in Linearly Combined Classifiers," icpr, vol. 2, pp.20120, 16th International Conference on Pattern Recognition (ICPR'02) - Volume 2, 2002
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