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Effective zero-norm minimization algorithms for noisy compressed sensing.

Shu-Mei GuoChen-Kai HuangTzu-Jui HuangJason Sheng-Hong TsaiLeang-San ShiehJose I. Canelon
Published in: J. Frankl. Inst. (2020)
Keyphrases
  • compressed sensing
  • pattern recognition
  • learning algorithm
  • sparse representation
  • feature selection
  • image reconstruction
  • data analysis
  • worst case
  • text classification
  • bag of words
  • norm minimization