• DocumentCode
    1164710
  • Title

    Kernels in structured multi-feature spaces for image retrieval

  • Author

    Djordjevic, D. ; Izquierdo, E.

  • Author_Institution
    Dept. of Electron. Eng., Queen Mary Coll., London, UK
  • Volume
    42
  • Issue
    15
  • fYear
    2006
  • fDate
    7/20/2006 12:00:00 AM
  • Firstpage
    856
  • Lastpage
    857
  • Abstract
    A new kernel for structured multi-feature spaces is introduced. It exploits the diversity of information encapsulated in different features. The mathematical validity of the introduced kernel is proven in the context of a conventional convex optimisation problem for support vector machines. Computer simulations show high performance for classification of images.
  • Keywords
    convex programming; image classification; image retrieval; support vector machines; convex optimisation problem; image classification; image retrieval; structured multifeature spaces; support vector machines;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:20061454
  • Filename
    1683658
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1164710