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Proceedings Paper

Theoretical and complexity issues for feature set evaluation using boundary methods
Author(s): William E. Pierson; Batuhan Ulug; Stanley C. Ahalt; Jose Luis Sancho; Anibal R. Figueiras-Vidal
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Paper 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.

Paper Details

Date Published: 15 September 1998
PDF: 12 pages
Proc. SPIE 3370, Algorithms for Synthetic Aperture Radar Imagery V, (15 September 1998); doi: 10.1117/12.321865
Show Author Affiliations
William E. Pierson, The Ohio State Univ. (United States)
Batuhan Ulug, The Ohio State Univ. (United States)
Stanley C. Ahalt, The Ohio State Univ. (United States)
Jose Luis Sancho, Univ. Politecnica de Madrid (Spain)
Anibal R. Figueiras-Vidal, Univ. Politecnica de Madrid (Spain)


Published in SPIE Proceedings Vol. 3370:
Algorithms for Synthetic Aperture Radar Imagery V
Edmund G. Zelnio, Editor(s)

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