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Extending Kernel PCA through Dualization: Sparsity, Robustness and Fast Algorithms.

Francesco ToninAlex LambertPanagiotis PatrinosJohan A. K. Suykens
Published in: CoRR (2023)
Keyphrases
  • kernel pca
  • machine learning algorithms
  • principal component analysis
  • machine learning
  • learning algorithm
  • feature extraction
  • pattern recognition
  • sparse representation
  • kernel methods