• DocumentCode
    2390958
  • Title

    Robust relaxation method for structural matching under uncertainty

  • Author

    Horiuchi, Takahiko ; Yamamoto, Kazuhiko ; Yamada, Hiromitsu

  • Author_Institution
    Inst. of Inf. Sci. & Electron., Tsukuba Univ., Ibaraki, Japan
  • Volume
    2
  • fYear
    1996
  • fDate
    25-29 Aug 1996
  • Firstpage
    176
  • Abstract
    Probabilistic relaxation labeling processes have been widely used in many different fields including image processing, pattern recognition, and artificial intelligence. However it is impossible to express conviction degrees to be related to human subjectivity. We propose a novel relaxation scheme called “robust relaxation” for structural matching under uncertainty. Since this method is constructed on the Dempster-Shafer measure, the above problem can be solved
  • Keywords
    pattern recognition; probability; uncertainty handling; Dempster-Shafer measure; artificial intelligence; conviction degrees; human subjectivity; image processing; pattern recognition; robust relaxation method; structural matching under uncertainty; Art; Labeling; Layout; Relaxation methods; Robustness; Tiles; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1996., Proceedings of the 13th International Conference on
  • Conference_Location
    Vienna
  • ISSN
    1051-4651
  • Print_ISBN
    0-8186-7282-X
  • Type

    conf

  • DOI
    10.1109/ICPR.1996.546747
  • Filename
    546747