• DocumentCode
    303430
  • Title

    Constructing non-orthogonal feature bases

  • Author

    Hyötyniemi, Heikki

  • Author_Institution
    Control Eng. Lab., Helsinki Univ. of Technol., Espoo, Finland
  • Volume
    3
  • fYear
    1996
  • fDate
    3-6 Jun 1996
  • Firstpage
    1759
  • Abstract
    A feature extraction algorithm based on self-organising maps is presented. The converged feature map can be interpreted as a non-orthogonal basis spanning the space of the input vectors. The new algorithm can be shown to be a generalization of the generalised Hebbian algorithm (GHA)
  • Keywords
    Hebbian learning; feature extraction; self-organising feature maps; feature extraction algorithm; generalised Hebbian algorithm; nonorthogonal feature bases; self-organising maps; Code standards; Control engineering; Data mining; Feature extraction; Laboratories; Neural networks; Pattern recognition; Prototypes; Self organizing feature maps; Space technology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1996., IEEE International Conference on
  • Conference_Location
    Washington, DC
  • Print_ISBN
    0-7803-3210-5
  • Type

    conf

  • DOI
    10.1109/ICNN.1996.549167
  • Filename
    549167
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=303430