20 October 1993 CORPS: class overlap region partitioning scheme--a tool for feature assessment
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Abstract
The paper presents a simple but effective feature assessment scheme that can be employed for a quick optimal evaluation of the individual discrimination potentials of a large number of features. The approach, Class Overlap Region Partitioning Scheme (CORPS), can be used either as a stand alone tool or as a front end to more complex combinatorial feature selection procedures such as branch and bound and genetic algorithms. The approach has the flexibility to permit imposition of a bias on the evaluation in favor of reducing either of the two possible types of errors in a binary decision process, for example false alarm or leakage in a target detection problem. Details of the associated algorithmic and operational procedures are furnished to facilitate wide usage of this new tool.
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Belur V. Dasarathy, Belur V. Dasarathy, } "CORPS: class overlap region partitioning scheme--a tool for feature assessment", Proc. SPIE 1957, Architecture, Hardware, and Forward-Looking Infrared Issues in Automatic Target Recognition, (20 October 1993); doi: 10.1117/12.161451; https://doi.org/10.1117/12.161451
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