W
W. Hubbard
Researcher at Bell Labs
Publications - 14
Citations - 10888
W. Hubbard is an academic researcher from Bell Labs. The author has contributed to research in topics: Artificial neural network & Optical character recognition. The author has an hindex of 7, co-authored 13 publications receiving 8331 citations.
Papers
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Journal ArticleDOI
Backpropagation applied to handwritten zip code recognition
Yann LeCun,Bernhard E. Boser,John S. Denker,D. Henderson,Richard Howard,W. Hubbard,Lawrence D. Jackel +6 more
TL;DR: This paper demonstrates how constraints from the task domain can be integrated into a backpropagation network through the architecture of the network, successfully applied to the recognition of handwritten zip code digits provided by the U.S. Postal Service.
Journal ArticleDOI
Handwritten digit recognition: applications of neural network chips and automatic learning
Y. Le Cun,Lawrence D. Jackel,Bernhard E. Boser,John S. Denker,Hans Peter Graf,Isabelle Guyon,D. Henderson,Richard Howard,W. Hubbard +8 more
TL;DR: Two novel methods for achieving handwritten digit recognition are described, based on a neural network chip that performs line thinning and feature extraction using local template matching and on a digital signal processor that makes extensive use of constrained automatic learning.
Proceedings ArticleDOI
Handwritten zip code recognition with multilayer networks
Y. Le Cun,O. Matan,Bernhard E. Boser,John S. Denker,D. Henderson,Richard Howard,W. Hubbard,L.D. Jacket,Henry S. Baird +8 more
TL;DR: An application of back-propagation networks to handwritten zip code recognition is presented, and the performance on zip code digits provided by the US Postal Service is 92% recognition, 1% substitution, and 7% rejects.
Journal ArticleDOI
Design of a neural network character recognizer for a touch terminal
TL;DR: A system which can recognize digits and uppercase letters handprinted on a touch terminal is described, analogous to “time delay neural networks” previously applied to speech recognition.
Proceedings Article
Neural Network Recognizer for Hand-Written Zip Code Digits
John S. Denker,W. R. Gardner,Hans Peter Graf,D. Henderson,Richard Howard,W. Hubbard,Lawrence D. Jackel,Henry S. Baird,Isabelle Guyon +8 more
TL;DR: This paper describes the construction of a system that recognizes handprinted digits, using a combination of classical techniques and neural-net methods, and compares favorably with other state-of-the art recognizers.