• DocumentCode
    3116749
  • Title

    Comparison of Two Feature Extraction Methods Based on Maximization of Mutual Information

  • Author

    Chumerin, Nikolay ; Van Hulle, Marc M.

  • Author_Institution
    Lab. voor Neuro- en Psychofysiologie, Katholieke Univ. Leuven, Leuven
  • fYear
    2006
  • fDate
    6-8 Sept. 2006
  • Firstpage
    343
  • Lastpage
    348
  • Abstract
    We perform a detailed comparison of two feature extraction methods that are based on mutual information maximization between the data points projected in the developed subspace and their class labels. For the simulations, we use synthetic as well as publicly available real-world data sets.
  • Keywords
    feature extraction; optimisation; feature extraction methods; mutual information maximization; real-world data sets; Entropy; Feature extraction; Histograms; Independent component analysis; Iron; Laboratories; Mutual information; Principal component analysis; Psychology; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning for Signal Processing, 2006. Proceedings of the 2006 16th IEEE Signal Processing Society Workshop on
  • Conference_Location
    Arlington, VA
  • ISSN
    1551-2541
  • Print_ISBN
    1-4244-0656-0
  • Electronic_ISBN
    1551-2541
  • Type

    conf

  • DOI
    10.1109/MLSP.2006.275572
  • Filename
    4053671
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3116749