• DocumentCode
    1083530
  • Title

    Feature Selection in Pattern Recognition

  • Author

    Fu, K.S. ; Min, Pyung June ; Li, Timothy J.

  • Author_Institution
    Department of Electrical Engineering, Purdue University, Lafayette, Ind.
  • Volume
    6
  • Issue
    1
  • fYear
    1970
  • Firstpage
    33
  • Lastpage
    39
  • Abstract
    The problem of feature selection in pattern recognition is briefly reviewed. Feature selection techniques discussed include 1) information theoretic approach, 2) direct estimation of error probability, 3) feature-space transformation, and 4) approach of using stochastic automata model. These techniques are applied to the selection of features in the crop classification problem. Computer similation results are presented and compared.
  • Keywords
    Automata; Covariance matrix; Crops; Density functional theory; Entropy; Error probability; Estimation error; Pattern recognition; Size measurement; Stochastic processes;
  • fLanguage
    English
  • Journal_Title
    Systems Science and Cybernetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0536-1567
  • Type

    jour

  • DOI
    10.1109/TSSC.1970.300326
  • Filename
    4082284
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1083530