A Novel Nonconvex Relaxation Approach to Low-Rank Matrix Completion of Inexact Observed Data.
Yan LiLiping ZhangPublished in: SIAM J. Optim. (2024)
Keyphrases
- matrix completion
- low rank
- convex optimization
- convex relaxation
- low rank matrices
- missing data
- low rank matrix approximation
- low rank matrix
- rank minimization
- linear combination
- matrix factorization
- objective function
- singular value decomposition
- norm minimization
- frobenius norm
- singular values
- nuclear norm
- high dimensional data
- kernel matrix
- semi supervised
- total variation
- minimization problems
- high order
- iterative algorithms
- low rank approximation
- trace norm
- multistage
- data matrix
- missing values
- feature space
- machine learning