Article ID Journal Published Year Pages File Type
10361751 Pattern Recognition Letters 2005 11 Pages PDF
Abstract
Online local learning algorithms for a laterally-connected single-layer neural network for performing linear discriminant analysis have been proposed. A convergence proof is provided for the algorithm based on Hebbian learning. The algorithms are simulated and applied to the face recognition problem.
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Related Topics
Physical Sciences and Engineering Computer Science Computer Vision and Pattern Recognition
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Online local learning algorithms for linear discriminant analysis
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