• DocumentCode
    1438492
  • Title

    Automatic pattern recognition by similarity representations

  • Author

    Pekalska, E. ; Duin, R.P.W.

  • Author_Institution
    Dept. of Appl. Phys., Delft Univ. of Technol., Netherlands
  • Volume
    37
  • Issue
    3
  • fYear
    2001
  • fDate
    2/1/2001 12:00:00 AM
  • Firstpage
    159
  • Lastpage
    160
  • Abstract
    The automatic recognition of objects may benefit from using a similarity representation instead of the traditional approach based on features. It is shown that the common use of nearest neighbour classifiers for similarity representations may be improved significantly by other classification rules with respect to recognition accuracy as well as computational complexity
  • Keywords
    computational complexity; pattern classification; automatic pattern recognition; classification rules; computational complexity; nearest neighbour classifiers; recognition accuracy; similarity representations;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:20010121
  • Filename
    902786
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1438492