NDLI: Performances of an ATR system via its ROC manifold

Content Provider	IEEE Xplore Digital Library
Author	Oxley, M.E. Thorsen, S.N. Bauer, K.W. Schubert, C.M.
Copyright Year	2008
Description	Author affiliation: Dept. of Biostat., Virginia Commonwealth Univ., Richmond, VA (Schubert, C.M.) \|\| Dept. of Math. & Stat., Air Force Inst. of Technol., Wright-Patterson AFB, OH (Oxley, M.E.; Thorsen, S.N.; Bauer, K.W.)
Abstract	A classification system such as an automatic target recognition (ATR) system with N possible output labels (or decisions) will have N(N-1) possible errors. The receiver operating characteristic (ROC) manifold was created to quantify all of these errors. Truthed data will produce an approximation to a ROC manifold. How well does the approximate ROC manifold approximate the true ROC manifold? Several functionals exist that quantify the approximation ability, but researchers really wish to quantify the performance in the approximate ROC manifold. This paper will review different performance definitions for ROC curves and manifolds, and thus, quantify the fusion of ATR systems. Examples of different performances will be given that are defined on manifolds.
Starting Page	1
Ending Page	6
File Size	142183
Page Count	6
File Format	PDF
ISBN	9783800730926
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-06-30
Publisher Place	Germany
Access Restriction	Subscribed
Rights Holder	ISIF (Intl Society of Information Fusion)
Subject Keyword	Manifolds Approximation methods Equations Support vector machine classification Vectors Receivers Extraterrestrial measurements functional Performance Evaluation Classification System ROC Manifold
Content Type	Text
Resource Type	Article

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