• DocumentCode
    2838253
  • Title

    Effects of Varying Parameters in Asymmetric AdaBoost on the Accuracy of a Cascade Audio Classifier

  • Author

    Healy, M. ; Ravindran, S. ; Anderson, D.V.

  • Author_Institution
    Georgia Institute of Technology
  • fYear
    2004
  • fDate
    26-29 March 2004
  • Firstpage
    169
  • Lastpage
    172
  • Abstract
    Previous work has been done demonstrating that the asymmetric AdaBoost algorithm could be successfully used to design a binary classifier that is a cascade of simple classifiers. We use the algorithm to design an audio classifier and study the effect of changing the length of the cascade and the weighting at each stage on the accuracy of the classifier. Results for a four-class audio classification problem are presented.
  • Keywords
    Algorithm design and analysis; Boosting; Costs; Data mining; Detectors; Face detection; Neural pathways; Signal processing; Signal processing algorithms; Sorting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SoutheastCon, 2004. Proceedings. IEEE
  • Conference_Location
    Greensboro, North Carolina, USA
  • Print_ISBN
    0-7803-8368-0
  • Type

    conf

  • DOI
    10.1109/SECON.2004.1287913
  • Filename
    1287913
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2838253