15 September 1998 Theoretical and complexity issues for feature set evaluation using boundary methods
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Abstract
Boundary Methods (BMs) are a collection of tools used for distribution analysis. This paper explores the theoretical and complexity issues associated with using BMs for Feature Set Evaluation (FSE). First we show the theoretical relationship between Overlap Sum, the BM measure of class separability, and Bayes error. This relationship demonstrates the utility of using BMs for FSE. Next, we investigate complexity issues associated with using BMs for FSE and compare with other techniques used for FSE.
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William E. Pierson, Batuhan Ulug, Stanley C. Ahalt, Jose Luis Sancho, Anibal R. Figueiras-Vidal, "Theoretical and complexity issues for feature set evaluation using boundary methods", Proc. SPIE 3370, Algorithms for Synthetic Aperture Radar Imagery V, (15 September 1998); doi: 10.1117/12.321865; https://doi.org/10.1117/12.321865
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