Matrix Recovery from Rank-One Projection Measurements via Nonconvex Minimization.
Peng LiWengu ChenPublished in: CoRR (2018)
Keyphrases
- objective function
- projection matrix
- singular values
- convex functions
- null space
- image restoration and reconstruction
- noisy measurements
- nuclear norm minimization
- optimization problems
- global optimization
- convex optimization
- low rank and sparse
- rank constraint
- minimization problems
- singular value decomposition
- low rank matrices
- low rank
- transformation matrix
- image recovery
- convex sets
- matrix completion
- norm minimization
- similarity matrix
- rank minimization
- regularization term
- robust principal component analysis
- rank aggregation