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Proceedings Paper

Optimum discrimination problem and one solution to it
Author(s): H. John Caulfield
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Paper Abstract

Fourier optical pattern recognition has wonderful properties (high speed, space-invariant operation, low power consumption, target location) and one terrible property (It can work perfectly only for the rare, uninteresting case of two linearly separable categories). More powerful discrimination methods lack the other wonderful properties. I show here how to have it both ways at once. By using roughly the Vapnik- Chervonenkis (VC) dimension number of properly trained Fourier filters in parallel and performing pixel-by-pixel thresholding on the output planes, we can assemble a net output plane which achieves provably optimum, predictable discrimination on any sets.

Paper Details

Date Published: 9 October 1998
PDF: 6 pages
Proc. SPIE 3466, Algorithms, Devices, and Systems for Optical Information Processing II, (9 October 1998); doi: 10.1117/12.326787
Show Author Affiliations
H. John Caulfield, Northeast Photosciences, Inc. (United States)


Published in SPIE Proceedings Vol. 3466:
Algorithms, Devices, and Systems for Optical Information Processing II
Bahram Javidi; Demetri Psaltis, Editor(s)

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