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- Title
PERFORMANCE MEASURES OF THE TOMOGRAPHIC CLASSIFIER FUSION METHODOLOGY.
- Authors
WINDRIDGE, DAVID; KITTLER, JOSEF
- Abstract
We seek to quantify both the classification performance and estimation error robustness of the authors' tomographic classifier fusion methodology by contrasting it in field tests and model scenarios with the sum and product classifier fusion methodologies. In particular, we seek to confirm that the tomographic methodology represents a generally optimal strategy across the entire range of problem dimensionalities, and at a sufficient margin to justify the general advocation of its use. Final results indicate, in particular, a near 25% improvement on the next nearest performing combination scheme at the extremity of the tested dimensional range.
- Subjects
PATTERN recognition systems; ESTIMATION theory; ROBUST control; PATTERN perception; ARTIFICIAL intelligence
- Publication
International Journal of Pattern Recognition & Artificial Intelligence, 2005, Vol 19, Issue 6, p731
- ISSN
0218-0014
- Publication type
Article
- DOI
10.1142/S0218001405004319