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Compressive sensing of jointly sparse signals as a method for dimensionality reduction of mass spectrometry data.

Khalfalla AwedatMasoud AlajmiJames R. Springstead
Published in: EIT (2017)
Keyphrases
  • compressive sensing
  • dimensionality reduction
  • random projections
  • high quality
  • machine learning
  • computer vision
  • high dimensional
  • image classification
  • input data
  • unsupervised learning