A robust low-rank matrix completion based on truncated nuclear norm and Lp-norm.
Hao LiangLi KangJianjun HuangPublished in: J. Supercomput. (2022)
Keyphrases
- matrix completion
- low rank
- nuclear norm
- rank minimization
- low rank matrix
- norm minimization
- linear combination
- matrix factorization
- missing data
- low rank matrices
- convex optimization
- semi supervised
- singular value decomposition
- high order
- kernel matrix
- singular values
- high dimensional data
- multiple kernel learning
- low rank approximation
- collaborative filtering
- higher order
- minimization problems
- active learning
- incomplete data
- small number