Large-scale Global Low-rank Optimization for Computational Compressed Imaging.
Daoyu LiHanwen XuMiao CaoXin YuanDavid J. BradyLiheng BianPublished in: CoRR (2023)
Keyphrases
- low rank
- nuclear norm
- convex optimization
- missing data
- matrix factorization
- matrix completion
- linear combination
- low rank matrix
- rank minimization
- semi supervised
- matrix decomposition
- kernel matrix
- singular value decomposition
- trace norm
- high order
- high dimensional data
- singular values
- robust principal component analysis
- non rigid structure from motion
- norm minimization
- low rank matrices
- convex relaxation
- minimization problems
- image processing
- computer vision
- nonnegative matrix factorization
- optimization methods
- missing values
- principal component analysis
- data mining
- data sets