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Low-Rank Factorizations in Data Sparse Hierarchical Algorithms for Preconditioning Symmetric Positive Definite Matrices.

Emmanuel AgulloEric DarveLuc GiraudYuval Harness
Published in: SIAM J. Matrix Anal. Appl. (2018)
Keyphrases
  • low rank
  • data sets
  • high dimensional data
  • data analysis
  • learning algorithm
  • missing data
  • training data
  • matrix factorization
  • high dimensional
  • data points
  • small number
  • computer vision
  • knn
  • denoising
  • missing values