• DocumentCode
    2709591
  • Title

    Automatic evaluation of adaptive algorithms over the Internet

  • Author

    Lucas, Simon ; Beattie, Paul ; Coy, Joanne

  • Author_Institution
    Dept. of Electron. Syst. Eng., Essex Univ., Colchester, UK
  • Volume
    2
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    886
  • Abstract
    We describe a system for the automatic evaluation of adaptive algorithms over the Internet. We motivate our discussion by setting up a system to evaluate region of interest finding algorithms. This is a signal processing/pattern recognition problem that occurs in many different application domains, and for which neural network solutions have been proposed as highly flexible and trainable solutions. However, we are not aware of any comprehensive empirical studies identifying the strengths and weaknesses of each method. The system we describe is able to automate such a study, and has the potential to be of great benefit to algorithm developers and the research community as a whole
  • Keywords
    Internet; image recognition; neural nets; pattern recognition; software performance evaluation; Internet; adaptive algorithm evaluation; neural network; pattern recognition; performance evaluation; region of interest finding; signal processing; Adaptive algorithm; Adaptive signal processing; Databases; Information retrieval; Internet; Neural networks; Pattern recognition; Performance evaluation; Signal processing algorithms; Systems engineering and theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks for Signal Processing X, 2000. Proceedings of the 2000 IEEE Signal Processing Society Workshop
  • Conference_Location
    Sydney, NSW
  • ISSN
    1089-3555
  • Print_ISBN
    0-7803-6278-0
  • Type

    conf

  • DOI
    10.1109/NNSP.2000.890169
  • Filename
    890169