• DocumentCode
    2714949
  • Title

    View-invariant object category learning, attention, recognition, search, and scene understanding

  • Author

    Grossberg, Stephen

  • Author_Institution
    Dept. of Cognitive & Neural Syst., Boston Univ., Beacon, MA, USA
  • fYear
    2009
  • fDate
    14-19 June 2009
  • Firstpage
    1002
  • Lastpage
    1004
  • Abstract
    This article summarizes recent progress towards understanding how the brain can intelligently scan a scene and use fast incremental unsupervised and supervised learning to learn scenic type and view-invariant representations of the objects within it.
  • Keywords
    image representation; unsupervised learning; unsupervised learning; view-invariant object category learning; view-invariant representations; Eyes; Layout; Neural networks; Pattern matching; Prototypes; Resonance; Retina; Subspace constraints; Surface fitting; Visual perception;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2009. IJCNN 2009. International Joint Conference on
  • Conference_Location
    Atlanta, GA
  • ISSN
    1098-7576
  • Print_ISBN
    978-1-4244-3548-7
  • Electronic_ISBN
    1098-7576
  • Type

    conf

  • DOI
    10.1109/IJCNN.2009.5179084
  • Filename
    5179084
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2714949