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Robust Principal Component Analysis Using a Novel Kernel Related with the $L_{1}$ -Norm.

Hongyi PanDiaa BadawiErdem KoyuncuA. Enis Çetin
Published in: EUSIPCO (2021)
Keyphrases
  • robust principal component analysis
  • low rank
  • kernel matrix
  • kernel function
  • machine learning
  • support vector
  • feature space
  • least squares
  • action recognition