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Proceedings Paper

Minimum squared error: synthetic discriminant function filter performance evaluations
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Paper Abstract

Several versions of synthetic discriminant functions have been proposed over the last twelve years. This paper describes the results of tests on the 'Minimum Squared Error SDF,' (MSE- SDF), a recently proposed variation, with some specific unique performance detection capabilities.

Paper Details

Date Published: 1 July 1992
PDF: 9 pages
Proc. SPIE 1701, Optical Pattern Recognition III, (1 July 1992); doi: 10.1117/12.138325
Show Author Affiliations
S. Richard F. Sims, U.S. Army Aviation and Missile Command (United States)
Jim F. Epperson, Univ. of Alabama in Huntsville (United States)
Bhagavatula Vijaya Kumar, Carnegie Mellon Univ. (United States)
Abhijit Mahalanobis, Martin Marietta Electronic Systems (United States)

Published in SPIE Proceedings Vol. 1701:
Optical Pattern Recognition III
David P. Casasent; Tien-Hsin Chao, Editor(s)

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