• DocumentCode
    1739559
  • Title

    A visual information association memory approach based on ordered dynamical system model

  • Author

    Shi, Dongcheng ; Chen, Hexin

  • Author_Institution
    Sch. of Comput. Sci. & Eng., Jilin Inst. of Technol., Changchun, China
  • Volume
    2
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    873
  • Abstract
    This paper presents a nonlinear state equation of ordered dynamical system model (ODSM) and a potential function on system state space by the order parameter. For visual information association memory constructed an ordered dynamical system approach that based on the data feature. Finally, the experimental results what shows that the performance is more efficient
  • Keywords
    computer vision; content-addressable storage; computer vision system; data feature; nonlinear state equation; order parameter; ordered dynamical system model; system state space; visual information association memory; Biological system modeling; Computer science; Computer vision; Control systems; Force control; Information science; Integral equations; Nonlinear equations; Space technology; Transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Proceedings, 2000. WCCC-ICSP 2000. 5th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    0-7803-5747-7
  • Type

    conf

  • DOI
    10.1109/ICOSP.2000.891654
  • Filename
    891654