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A hybrid kernel principal component analysis and support vector machine model for analysing sonographic features of parotid glands in Sjogren's syndrome.

Ping-Feng PaiYa-Hsin ChangMing-Fu HsuJachih FuHsin-Hua Chen
Published in: Int. J. Math. Model. Numer. Optimisation (2011)
Keyphrases
  • support vector machine
  • pairwise
  • classification method
  • kernel principal component analysis
  • data sets
  • computer vision
  • support vector
  • feature space
  • classification accuracy
  • kernel methods