• DocumentCode
    2314775
  • Title

    Neural net with adaptive activation functions for face recognition

  • Author

    Talukder, Ashit ; Casasent, David

  • Author_Institution
    Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA
  • Volume
    3
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    311
  • Abstract
    An efficient two-stage algorithm to compute nonlinear features is described. Its implementation on a neural net with adaptive activation functions that raise the input data to an arbitrary power is described. Its use in face recognition with unknown input poses is presented
  • Keywords
    covariance matrices; face recognition; feature extraction; neural nets; transfer functions; adaptive activation functions; nonlinear features; two-stage algorithm; unknown input poses; Closed-form solution; Covariance matrix; Erbium; Face recognition; Image reconstruction; Laboratories; Measurement standards; Neural networks; Power engineering computing; Propulsion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on
  • Conference_Location
    Como
  • ISSN
    1098-7576
  • Print_ISBN
    0-7695-0619-4
  • Type

    conf

  • DOI
    10.1109/IJCNN.2000.861322
  • Filename
    861322
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2314775