Nonlinear decision boundaries from the use of complex constraints in synthetic discriminant function filters

Bhagavatula Vijaya Kumar; James D. Brasher; Charles F. Hester

doi:10.1117/12.163627

9 November 1993 Nonlinear decision boundaries from the use of complex constraints in synthetic discriminant function filters

Bhagavatula Vijaya Kumar, James D. Brasher, Charles F. Hester

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Proceedings Volume 2026, Photonics for Processors, Neural Networks, and Memories; (1993) https://doi.org/10.1117/12.163627
Event: SPIE's 1993 International Symposium on Optics, Imaging, and Instrumentation, 1993, San Diego, CA, United States

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.

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Bhagavatula Vijaya Kumar, James D. Brasher, and Charles F. Hester "Nonlinear decision boundaries from the use of complex constraints in synthetic discriminant function filters", Proc. SPIE 2026, Photonics for Processors, Neural Networks, and Memories, (9 November 1993); https://doi.org/10.1117/12.163627

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