• DocumentCode
    2489245
  • Title

    Automatic generation of optimum classification cascades

  • Author

    El-Sherif, Ezzat ; Abdelazeem, Sherif ; El-Yazeed, M.

  • Author_Institution
    Electron. Eng. Dept., American Univ. in Cairo, Cairo
  • fYear
    2008
  • fDate
    8-11 Dec. 2008
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper, we present a novel technique to automatically generate optimum classification cascades. Given a powerful classifier SF with satisfactory accuracy and a set of N classifiers, our algorithm builds the fastest cascade that achieves an accuracy not less than that of SF. The algorithm is fully automatic and has a complexity of O(N2) which means it is fast and scalable to large values of N.
  • Keywords
    cascade systems; computational complexity; optimisation; pattern classification; classification cascade automatic generation; computational complexity; optimisation; Object detection; Optimized production technology; Particle swarm optimization; Power engineering and energy; Power generation; Quantization; Simulated annealing; Support vector machine classification; Support vector machines; Timing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2008. ICPR 2008. 19th International Conference on
  • Conference_Location
    Tampa, FL
  • ISSN
    1051-4651
  • Print_ISBN
    978-1-4244-2174-9
  • Electronic_ISBN
    1051-4651
  • Type

    conf

  • DOI
    10.1109/ICPR.2008.4761807
  • Filename
    4761807
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2489245