• DocumentCode
    2166796
  • Title

    In the pattern recognition Branch and Bound algorithm´s matlab realizes

  • Author

    Shan, Tan Jun ; Gang, Hu Wei

  • Author_Institution
    Computer and information institute, Central South University of Forestry and Technology, Changsha, China
  • fYear
    2010
  • fDate
    4-6 Dec. 2010
  • Firstpage
    1267
  • Lastpage
    1270
  • Abstract
    The feature selection algorithm is a key technologies in pattern recognition. The goal is in D characteristic which assigns chooses the most effective d(d ≤ D) characteristic, uses for to describe the sort feature. This article realizes the Branch and Bound algorithm programming in matlab, feature extraction by this method can guarantee the global optimal search under the premise of greatly reduced complexity.
  • Keywords
    Algorithm design and analysis; Appraisal; Pattern recognition; Presses; Signal processing algorithms; Springs; Synchronization; Branch and Bound Algorithm; Feature selection; Pattern recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Engineering (ICISE), 2010 2nd International Conference on
  • Conference_Location
    Hangzhou, China
  • Print_ISBN
    978-1-4244-7616-9
  • Type

    conf

  • DOI
    10.1109/ICISE.2010.5691970
  • Filename
    5691970
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2166796