Nonconvex Nonsmooth Low Rank Minimization via Iteratively Reweighted Nuclear Norm.
Canyi LuJinhui TangShuicheng YanZhouchen LinPublished in: IEEE Trans. Image Process. (2016)
Keyphrases
- nuclear norm
- low rank
- low rank matrices
- norm minimization
- convex optimization
- minimization problems
- convex functions
- low rank matrix
- robust principal component analysis
- regularization term
- matrix completion
- total variation
- ell norm
- rank minimization
- missing data
- interior point methods
- matrix factorization
- linear combination
- singular value decomposition
- semi supervised
- primal dual
- kernel matrix
- sparse representation
- objective function
- high order
- high dimensional data
- unsupervised feature selection
- data matrix
- sparse coding
- feature selection
- image denoising
- image restoration
- regularization parameter
- image representation
- denoising
- least squares
- missing values
- low rank and sparse
- data sets