Low-rank and sparse matrix decomposition via the truncated nuclear norm and a sparse regularizer.
Zhichao XueJing DongYuxin ZhaoChang LiuRyad ChellaliPublished in: Vis. Comput. (2019)
Keyphrases
- low rank matrix
- low rank and sparse
- low rank
- semi supervised
- sparse matrix
- convex optimization
- matrix factorization
- singular value decomposition
- approximation methods
- total variation
- linear combination
- missing data
- kernel matrix
- collaborative filtering
- data matrix
- pairwise
- image denoising
- image processing
- image restoration
- higher order
- least squares