Low-Rank Extragradient Method for Nonsmooth and Low-Rank Matrix Optimization Problems.
Dan GarberAtara KaplanPublished in: CoRR (2022)
Keyphrases
- low rank
- low rank matrix
- missing data
- matrix decomposition
- objective function
- convex optimization
- high order
- singular value decomposition
- approximation methods
- matrix completion
- rank minimization
- input data
- high dimensional data
- kernel matrix
- low rank and sparse
- data sets
- least squares
- similarity measure
- feature extraction
- image processing