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Positive realness in stochastic subspace identification: A regularized and reweighted nuclear norm minimization approach.

Hüseyin AkçaySemiha Türkay
Published in: ECC (2015)
Keyphrases
  • feature space
  • subspace clustering
  • high dimensional
  • principal component analysis
  • nuclear norm minimization
  • least squares
  • data sets
  • dimensionality reduction
  • high dimensional data
  • subspace learning