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Learning in correlators based on projections onto constraint sets

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Abstract

The iterative algorithm, projections onto constraint sets, is employed to generate spatial filters for pattern-recognition correlators. Based on all the training sets, all the filters are trained simultaneously.

© 1993 Optical Society of America

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