DocumentCode
1559355
Title
Optimal training of thresholded linear correlation classifiers
Author
Hildebrandt, Thomas H.
Author_Institution
Dept. of Electr. & Comput. Eng., North Carolina State Univ., Raleigh, NC, USA
Volume
2
Issue
6
fYear
1991
fDate
11/1/1991 12:00:00 AM
Firstpage
577
Lastpage
588
Abstract
A closed-form solution for improved pattern recognition that reduces the training time to a single epoch (one presentation of each of the training patterns) is presented. It is shown that the corresponding hardware requirements are no greater than those for regular recognition under certain conditions. A simple example which shows that the generalization obtained with the closed-form method exceeds that obtained by a model that admits only diagonal transformations is discussed
Keywords
correlation methods; learning systems; neural nets; pattern recognition; closed-form method; learning systems; neural nets; optimal training; pattern recognition; thresholded linear correlation classifiers; Closed-form solution; Computer science; Correlators; Hardware; Labeling; Pattern matching; Pattern recognition; Shape;
fLanguage
English
Journal_Title
Neural Networks, IEEE Transactions on
Publisher
ieee
ISSN
1045-9227
Type
jour
DOI
10.1109/72.97935
Filename
97935
Link To Document