Online local learning algorithms for linear discriminant analysis

  • Authors:
  • G. K. Demir;K. Ozmehmet

  • Affiliations:
  • Department of Computer Science and Engineering, University of Minnesota, Minneapolis, MN 55455 USA and Department of Electrical and Electronics Engineering, Dokuz Eylul University, TR35160 Izmir, ...;Department of Electrical and Electronics Engineering, Dokuz Eylul University, TR35160 Izmir, Turkey

  • Venue:
  • Pattern Recognition Letters - Special issue: Advances in pattern recognition
  • Year:
  • 2005

Quantified Score

Hi-index 0.00

Visualization

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.