16th International Conference on Pattern Recognition (ICPR'02) - Volume 2 Analysis of Error-Reject Trade-off in Linearly Combined Classifiers Quebec City, QC, Canada August 11-August 15 ISBN: 0-7695-1695-X
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 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||