The practical performance characteristics of tomographically filtered multiple classifier fusion

Authors:
David Windridge;Josef Kittler
Affiliations:
Dept. of Electronic and Electrical Engineering, University of Surrey, Guildford, Surrey, UK;Dept. of Electronic and Electrical Engineering, University of Surrey, Guildford, Surrey, UK
Venue:
MCS'03 Proceedings of the 4th international conference on Multiple classifier systems
Year:
2003

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Abstract

In this paper we set out to give an indication both of the classification performance and the robustness to estimation error of the authors' 'tomographic' classifier fusion methodology in a comparative field test with the sum and product classier fusion methodologies. In encompassing this, we find evidence to confirm that the tomographic methodology represents a generally superior fusion strategy across the entire range of problem dimensionalities, final results indicating an as much as 25% improvement on the next nearest performing combination scheme at the extremity of the tested range.