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Efficient and Scalable Kernel Matrix Approximations using Hierarchical Decomposition.

Keerthi GaddameediSeverin ReizTobias NeckelHans-Joachim Bungartz
Published in: CoRR (2023)
Keyphrases
  • hierarchical decomposition
  • kernel matrix
  • kernel methods
  • training samples
  • kernel learning
  • pattern recognition
  • feature space
  • denoising
  • low dimensional
  • linear combination
  • kernel function
  • kernel matrices