Low-rank matrix recovery via novel double nonconvex nonsmooth rank minimization with ADMM.
Yulin WangYunjie ZhangXianping FuPublished in: Multim. Tools Appl. (2024)
Keyphrases
- low rank
- low rank matrix recovery
- rank minimization
- convex optimization
- alternating direction method of multipliers
- matrix completion
- low rank and sparse
- robust principal component analysis
- low rank matrix
- total variation
- missing data
- matrix factorization
- singular value decomposition
- primal dual
- high dimensional data
- convex relaxation
- linear combination
- convex functions
- data matrix
- singular values
- semi supervised
- affinity matrix
- high order
- nuclear norm
- recommender systems
- image denoising