Online local learning algorithms for linear discriminant analysis


KALAYCI DEMİR G., Omehmet K.

PATTERN RECOGNITION LETTERS, vol.26, no.4, pp.421-431, 2005 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 26 Issue: 4
  • Publication Date: 2005
  • Doi Number: 10.1016/j.patrec.2004.08.005
  • Journal Name: PATTERN RECOGNITION LETTERS
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.421-431
  • Keywords: linear discriminant analysis, generalized eigenvalue problem, online local learning, EXTRACTION, NETWORKS
  • Dokuz Eylül University Affiliated: Yes

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. (C) 2004 Elsevier B.V. All rights reserved.