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A binary feature selection framework in kernel spaces.

Chengzhang ZhuXinwang LiuSihang ZhouQiang LiuJianping Yin
Published in: IJCNN (2014)
Keyphrases
  • feature selection
  • neural network
  • main contribution
  • riemannian manifolds
  • support vector
  • kernel learning
  • high dimensional
  • probabilistic model
  • feature set
  • kernel function
  • theoretical framework
  • graph embedding