• DocumentCode
    3448306
  • Title

    A distributed parallel AdaBoost algorithm for face detection

  • Author

    Huang, ZheHuang ; Shi, Xiaodong

  • Author_Institution
    Sch. of Math. Sci., Huaqiao Univ., Quanzhou, China
  • Volume
    1
  • fYear
    2010
  • fDate
    29-31 Oct. 2010
  • Firstpage
    147
  • Lastpage
    150
  • Abstract
    AdaBoost is an excellent machine-learning algorithm, which produces a strong classifier by selecting the discriminating features and combining them linearly. But the computational complexity of AdaBoost algorithms is very high that restricts its studies and applications. In this paper we utilize parallel processing techniques to implement the parallel algorithm based on AdaBoost. The experiment results show the parallel algorithm can reduce the run time and has a high speedup.
  • Keywords
    computational complexity; face recognition; learning (artificial intelligence); parallel algorithms; pattern classification; computational complexity; distributed parallel AdaBoost algorithm; face detection; machine learning algorithm; parallel processing technique; AdaBoost; Distributed computing; Face Detection; Parallel algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computing and Intelligent Systems (ICIS), 2010 IEEE International Conference on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-1-4244-6582-8
  • Type

    conf

  • DOI
    10.1109/ICICISYS.2010.5658736
  • Filename
    5658736
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3448306