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R Hecht-Nielsen

Showing results (1-10 of 6) with videos related to

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Applied Optics|June 5, 2010
Counterpropagation networksR Hecht-Nielsen
Applied Optics|May 11, 2010
Nearest matched filter classification of spatiotemporal patternsR Hecht-Nielsen
Science (New York, N.Y.)|September 29, 1995
Replicator neural networks for universal optimal source codingR Hecht-Nielsen
IEEE Transactions on Neural Networks|February 7, 2008
Conditional probability density function estimation with sigmoidal neural networksA Sarajedini, R Hecht-Nielsen, P M Chau
IEEE Transactions on Neural Networks|January 1, 1995
A supervised learning neural network coprocessor for soft-decision maximum-likelihood decodingY J Wu, P M Chau, R Hecht-Nielsen
Neural Computation|July 7, 2001
A biologically motivated solution to the cocktail party problemB Sagi, S C Nemat-Nasser, R Kerr, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Applied Optics|June 5, 2010
Counterpropagation networksR Hecht-Nielsen
Applied Optics|May 11, 2010
Nearest matched filter classification of spatiotemporal patternsR Hecht-Nielsen
Science (New York, N.Y.)|September 29, 1995
Replicator neural networks for universal optimal source codingR Hecht-Nielsen
IEEE Transactions on Neural Networks|February 7, 2008
Conditional probability density function estimation with sigmoidal neural networksA Sarajedini, R Hecht-Nielsen, P M Chau
IEEE Transactions on Neural Networks|January 1, 1995
A supervised learning neural network coprocessor for soft-decision maximum-likelihood decodingY J Wu, P M Chau, R Hecht-Nielsen
Neural Computation|July 7, 2001
A biologically motivated solution to the cocktail party problemB Sagi, S C Nemat-Nasser, R Kerr, et al.
Pageof 1