Robust Recovery of Low Rank Matrix by Nonconvex Rank Regularization.
Hengmin ZhangWei LuoWenli DuJianjun QianJian YangBob ZhangPublished in: ICIG (2) (2021)
Keyphrases
- low rank matrix
- low rank
- convex optimization
- nuclear norm
- low rank matrices
- rank minimization
- singular value decomposition
- low rank matrix recovery
- norm minimization
- approximation methods
- matrix factorization
- low rank approximation
- linear combination
- missing data
- low rank and sparse
- sparse matrix
- kernel matrix
- data sets
- singular values
- high dimensional data