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Proceedings Paper

Nonlinear decision boundaries from the use of complex constraints in synthetic discriminant function filters
Author(s): Bhagavatula Vijaya Kumar; James D. Brasher; Charles F. Hester
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Paper Abstract

Conventional Synthetic Discriminant Function (SDF) filter formulations employ the same real correlation output (at origin) for all input training images from the same class, but this leads to poor discrimination. However, this can be overcome by using complex correlation constraints in the SDF filter design. In this paper, we characterize the recognition sets for such SDF filters.

Paper Details

Date Published: 9 November 1993
PDF: 12 pages
Proc. SPIE 2026, Photonics for Processors, Neural Networks, and Memories, (9 November 1993); doi: 10.1117/12.163627
Show Author Affiliations
Bhagavatula Vijaya Kumar, Carnegie Mellon Univ. (United States)
James D. Brasher, Teledyne Brown Engineering (United States)
Charles F. Hester, Teledyne Brown Engineering (United States)


Published in SPIE Proceedings Vol. 2026:
Photonics for Processors, Neural Networks, and Memories
Stephen T. Kowel; William J. Miceli; Joseph L. Horner; Bahram Javidi; Stephen T. Kowel; William J. Miceli, Editor(s)

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