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Functional Regression with Mode-Sparsity Constraint.

Pei YangJingrui He
Published in: ICDM (2016)
Keyphrases
  • sparsity constraints
  • regression model
  • sparse representation
  • sparse coding
  • model selection
  • dictionary learning
  • negative matrix factorization
  • support vector
  • low rank
  • support vector regression
  • generative model