• DocumentCode
    2800328
  • Title

    Dimension Reduction Methods for Image Retrieval

  • Author

    Moravec, Pavel ; Sna, Vaclav

  • Author_Institution
    Dept. of Comput. Sci., Tech. Univ. of Ostrava, Ostrava-Poruba
  • Volume
    2
  • fYear
    2006
  • fDate
    16-18 Oct. 2006
  • Firstpage
    1055
  • Lastpage
    1060
  • Abstract
    In this paper, we compare performance of several dimension reduction techniques, namely LSI, NMF, SDD and FastMap. The qualitative comparison is based on rank lists and evaluated on a collection of faces from the Olivetti Research Lab. We compare the quality of these methods from both the visual impact, quality of generated "eigenfaces" and retrieval performance
  • Keywords
    eigenvalues and eigenfunctions; image reconstruction; image retrieval; matrix algebra; FastMap; LSI; NMF; SDD; dimension reduction; eigenfaces; image retrieval; Bellows; Computer science; Image retrieval; Information retrieval; Large scale integration; Matrix decomposition; Principal component analysis; Singular value decomposition; Testing; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems Design and Applications, 2006. ISDA '06. Sixth International Conference on
  • Conference_Location
    Jinan
  • Print_ISBN
    0-7695-2528-8
  • Type

    conf

  • DOI
    10.1109/ISDA.2006.253757
  • Filename
    4021809
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2800328