• DocumentCode
    791149
  • Title

    Learning to see

  • Author

    Poggio, Tomaso ; Beymer, David

  • Author_Institution
    Center for Biol. & Comput. Learning, MIT, USA
  • Volume
    33
  • Issue
    5
  • fYear
    1996
  • fDate
    5/1/1996 12:00:00 AM
  • Firstpage
    60
  • Lastpage
    69
  • Abstract
    The mind cannot make sense of the visual world out of raw image data alone. In an approach to visual processing known as learning from examples, computational neural networks and physiological studies suggest how neurons and machines adapt to novel images on the basis of past experience
  • Keywords
    computer vision; learning by example; neural nets; neurophysiology; visual perception; adaption to novel images; computational neural networks; learning from examples; learning to see; making sense of visual world; mind; past experience; physiological studies; raw image data; visual processing approach; Cells (biology); Character recognition; Cloud computing; Computer interfaces; Computer vision; Face recognition; Image recognition; Machine learning; Pattern recognition; Time sharing computer systems;
  • fLanguage
    English
  • Journal_Title
    Spectrum, IEEE
  • Publisher
    ieee
  • ISSN
    0018-9235
  • Type

    jour

  • DOI
    10.1109/6.490058
  • Filename
    490058
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=791149