Low-rank updates and divide-and-conquer methods for quadratic matrix equations.
Daniel KressnerPatrick KürschnerStefano MasseiPublished in: CoRR (2019)
Keyphrases
- image segmentation
- low rank
- matrix completion
- linear combination
- high order
- high dimensional data
- rank minimization
- matrix decomposition
- matrix factorization
- singular values
- factorization methods
- training set
- nuclear norm
- tensor decomposition
- low rank matrix
- convex optimization
- singular value decomposition
- trace norm
- low rank approximation
- missing data
- frobenius norm