• DocumentCode
    1707111
  • Title

    Dictionary learning based dimensionality reduction for classification

  • Author

    Schnass, Karin ; Vandergheynst, Pierre

  • Author_Institution
    Signal Process. Inst., Swiss Fed. Inst. of Technol., Lausanne
  • fYear
    2008
  • Firstpage
    780
  • Lastpage
    785
  • Abstract
    In this article we present a signal model for classification based on a low dimensional dictionary embedded into the high dimensional signal space. We develop an alternate projection algorithm to find the embedding and the dictionary and finally test the classification performance of our scheme in comparison to Fisher´s LDA.
  • Keywords
    learning (artificial intelligence); matrix algebra; pattern classification; principal component analysis; classification; dictionary learning; dimensionality reduction; high dimensional signal space; low dimensional dictionary; Costs; Dictionaries; Glass; Image storage; Mouth; Nose; Projection algorithms; Signal processing; Space technology; Testing; alternate projections; classification; dictionary learning; dimensionality reduction; kernel-based learning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, Control and Signal Processing, 2008. ISCCSP 2008. 3rd International Symposium on
  • Conference_Location
    St Julians
  • Print_ISBN
    978-1-4244-1687-5
  • Electronic_ISBN
    978-1-4244-1688-2
  • Type

    conf

  • DOI
    10.1109/ISCCSP.2008.4537328
  • Filename
    4537328
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1707111