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Generalizing the Mahalanobis distance via density kernels.

Gabriel MartosAlberto MuñozJavier González
Published in: Intell. Data Anal. (2014)
Keyphrases
  • mahalanobis distance
  • noise model
  • euclidean distance
  • covariance matrix
  • kernel methods
  • distance metric
  • kernel function
  • data distribution
  • machine learning
  • metric learning
  • multiscale
  • support vector
  • lower bound