Online local learning algorithms for linear discriminant analysis

KALAYCI DEMİR G., Omehmet K.

PATTERN RECOGNITION LETTERS, cilt.26, sa.4, ss.421-431, 2005 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 26 Sayı: 4
  • Basım Tarihi: 2005
  • Doi Numarası: 10.1016/j.patrec.2004.08.005
  • Dergi Adı: PATTERN RECOGNITION LETTERS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.421-431
  • Anahtar Kelimeler: linear discriminant analysis, generalized eigenvalue problem, online local learning, EXTRACTION, NETWORKS
  • Dokuz Eylül Üniversitesi Adresli: Evet

Özet

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.