Low rank matrix completion using truncated nuclear norm and sparse regularizer.
Jing DongZhichao XueJian GuanZi-Fa HanWenwu WangPublished in: Signal Process. Image Commun. (2018)
Keyphrases
- nuclear norm
- matrix completion
- low rank
- semi supervised
- low rank matrices
- low rank matrix
- rank minimization
- low rank matrix approximation
- norm minimization
- linear combination
- convex optimization
- matrix factorization
- missing data
- norm regularization
- singular value decomposition
- kernel matrix
- high order
- total variation
- high dimensional data
- singular values
- missing entries
- data matrix
- minimization problems
- incomplete data
- pairwise
- frobenius norm
- active learning
- group lasso
- rank aggregation
- regularization term
- pattern recognition
- multistage
- image restoration
- collaborative filtering
- high dimensional