• DocumentCode
    3218632
  • Title

    Bagging algorithm for pixel classification

  • Author

    Novakovic, Jasmina

  • Author_Institution
    Grad. Sch. of Comput. Sci., Megatrend Univ., Belgrade, Serbia
  • fYear
    2011
  • fDate
    22-24 Nov. 2011
  • Firstpage
    1348
  • Lastpage
    1351
  • Abstract
    In this research, Bagging algorithm that incorporates different classifier into classifier ensembles models for pixel classification is suggested. We chose classifier ensembles with decision trees, as the base classifiers. In the problem of pixel classification, experimental results demonstrate the effectiveness of the Bagging with forest of random trees (RandomForest) as base classifier compared to other methods.
  • Keywords
    decision trees; image classification; Bagging algorithm; decision trees; pixel classification; random trees; Accuracy; Bagging; Classification algorithms; Decision trees; Image segmentation; Machine learning; Vegetation; Bagging; decision tree; image; pixel classification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Telecommunications Forum (TELFOR), 2011 19th
  • Conference_Location
    Belgrade
  • Print_ISBN
    978-1-4577-1499-3
  • Type

    conf

  • DOI
    10.1109/TELFOR.2011.6143803
  • Filename
    6143803
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3218632