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-Norm-Based Low-Rank Matrix Approximations for Large-Scale Problems Using Alternating Rectified Gradient Method.

Eunwoo KimMinsik LeeChong-Ho ChoiNojun KwakSonghwai Oh
Published in: IEEE Trans. Neural Networks Learn. Syst. (2015)
Keyphrases
  • gradient method
  • low rank matrix
  • approximation methods
  • similarity measure
  • training set
  • low rank