Low-rank matrix factorization with nonconvex regularization and bilinear decomposition.
Sijie WangKewen XiaLi WangZhixian YinZiping HeJiangnan ZhangNaila AslamPublished in: Signal Process. (2022)
Keyphrases
- low rank matrix factorization
- low rank
- missing data
- image restoration and reconstruction
- convex optimization
- optimization problems
- singular value decomposition
- global optimization
- surface interpolation
- regularization term
- objective function
- matrix factorization
- total variation
- data sets
- learning algorithm
- linear programming
- high dimensional
- machine learning