• DocumentCode
    1743040
  • Title

    Training in pattern recognition from a small number of observations using projections onto null-space

  • Author

    Fursov, Vladimir A.

  • Author_Institution
    Image Processing Syst. Inst., Acad. of Sci., Samara, Russia
  • Volume
    2
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    785
  • Abstract
    Based on the algebraic approach, a system is trained in pattern recognition from a small number of observations. The feature space is built and tolerances are set up using a null-space of matrices composed of the feature vectors of the learning objects
  • Keywords
    eigenvalues and eigenfunctions; feature extraction; learning (artificial intelligence); matrix algebra; pattern recognition; eigenvectors; feature vectors; learning; matrix algebra; null-space; pattern recognition; Character generation; Computational efficiency; Eigenvalues and eigenfunctions; Image processing; Laboratories; Pattern recognition; Sampling methods; Vectors; Yttrium;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2000. Proceedings. 15th International Conference on
  • Conference_Location
    Barcelona
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-0750-6
  • Type

    conf

  • DOI
    10.1109/ICPR.2000.906192
  • Filename
    906192
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1743040