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-Low Rank Approximation: Solving Dense CSPs over Reals.

Vincent Cohen-AddadChenglin FanSuprovat GhoshalEuiwoong LeeArnaud de MesmayAlantha NewmanTony Chang Wang
Published in: CoRR (2023)
Keyphrases
  • low rank approximation
  • low rank matrix approximation
  • constraint satisfaction problems
  • singular value decomposition
  • subspace learning
  • support vector
  • np hard
  • dimensionality reduction
  • spectral clustering
  • low rank