A new nonconvex approach to low-rank matrix completion with application to image inpainting.
Yongchao YuJigen PengShigang YuePublished in: Multidimens. Syst. Signal Process. (2019)
Keyphrases
- low rank
- matrix completion
- convex optimization
- low rank matrices
- rank minimization
- linear combination
- matrix factorization
- missing data
- low rank matrix
- trace norm
- singular value decomposition
- semi supervised
- singular values
- kernel matrix
- high dimensional data
- high order
- collaborative filtering
- norm minimization
- nuclear norm
- support vector
- feature selection
- convex relaxation
- small number
- rank aggregation
- protein interaction networks
- multiresolution
- feature space