Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10361751 | Pattern Recognition Letters | 2005 | 11 Pages |
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
G.K. Demir, K. Ozmehmet,