Title :
Confuser rejection modeling
Author_Institution :
Raytheon Space & Airborne Syst., El Segundo, CA
Abstract :
In this paper we present a method of estimating the performance of a classifier system based on a reported confusion matrix. We develop a method of fitting parameters to observed confusion matrices, such that the expected performance of non-forced decision detection versus the probability of not-in-library reports can be estimated based on the forced decision confusion matrix. The approach also lends itself to a general methodology for modeling classes of confusers in a statistical manner, and can in principle also be extended to modeling clutter severity.
Keywords :
matrix algebra; probability; classifier system; confuser rejection modeling; forced decision confusion matrix; non forced decision detection; not-in-library probability; Density functional theory; Envelope detectors; Equations; Error correction; Error probability; Parameter estimation; Pattern classification; Pattern recognition; Root mean square; Statistics;
Conference_Titel :
Signals, Systems and Computers, 2008 42nd Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
978-1-4244-2940-0
Electronic_ISBN :
1058-6393
DOI :
10.1109/ACSSC.2008.5074698
