9 November 1993 Nonlinear decision boundaries from the use of complex constraints in synthetic discriminant function filters
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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, Bhagavatula Vijaya Kumar, James D. Brasher, James D. Brasher, Charles F. Hester, 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); doi: 10.1117/12.163627; https://doi.org/10.1117/12.163627
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