Low-Rank Updates of Matrix Square Roots.
Shany ShumeliPetros DrineasHaim AvronPublished in: CoRR (2022)
Keyphrases
- low rank
- singular value decomposition
- convex optimization
- matrix factorization
- matrix completion
- linear combination
- missing data
- low rank matrix
- rank minimization
- matrix decomposition
- high order
- trace norm
- semi supervised
- singular values
- factorization methods
- frobenius norm
- kernel matrix
- data matrix
- high dimensional data
- minimization problems
- nuclear norm
- low rank matrices
- non rigid structure from motion
- low rank and sparse
- eigendecomposition
- kernel matrices
- low rank approximation
- convex relaxation
- tensor decomposition
- norm minimization
- nonnegative matrix factorization
- collaborative filtering
- active learning
- pairwise
- machine learning