• DocumentCode
    1742922
  • Title

    Performance perturbation analysis of eigen-systems

  • Author

    Zhao, Wen Yi

  • Author_Institution
    Center for Autom. Res., Maryland Univ., College Park, MD, USA
  • Volume
    2
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    105
  • Abstract
    Eigenproblem has wide range of applications in engineering disciplines, including compression and recognition. When building practical systems for these applications, we are interested in actual system performance. The actual system performance usually differs from the ideal system performance. One way to quantify the actual performance is to measure the ideal performance and the performance degradation/perturbation. In this paper, we present a system performance perturbation analysis particular to eigen-systems based on the matrix perturbation theory. Such performance analysis can provide guidance for designing practically good systems
  • Keywords
    covariance matrices; eigenvalues and eigenfunctions; perturbation techniques; principal component analysis; statistical analysis; covariance matrix; discriminant component analysis; eigen-systems; matrix perturbation; performance analysis; performance degradation; principal component analysis; Automation; Degradation; Educational institutions; Eigenvalues and eigenfunctions; Linear discriminant analysis; Performance analysis; Principal component analysis; Signal processing; Symmetric matrices; System performance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2000. Proceedings. 15th International Conference on
  • Conference_Location
    Barcelona
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-0750-6
  • Type

    conf

  • DOI
    10.1109/ICPR.2000.906027
  • Filename
    906027