An Approximate Augmented Lagrangian Method for Nonnegative Low-Rank Matrix Approximation.
Hong ZhuMichael K. NgGuang-Jing SongPublished in: J. Sci. Comput. (2021)
Keyphrases
- matrix approximation
- low rank matrix approximation
- matrix completion
- augmented lagrangian method
- low rank approximation
- least squares
- spectral clustering
- total variation
- convex optimization
- low rank
- singular value decomposition
- multiscale
- matrix factorization
- kernel matrix
- cross validation
- collaborative filtering
- pairwise
- objective function