Generalized Nonconvex Nonsmooth Low-Rank Minimization.
Canyi LuJinhui TangShuicheng YanZhouchen LinPublished in: CoRR (2014)
Keyphrases
- low rank
- convex functions
- image restoration and reconstruction
- convex optimization
- low rank matrices
- minimization problems
- robust principal component analysis
- missing data
- norm minimization
- linear combination
- matrix factorization
- matrix completion
- low rank matrix recovery
- low rank matrix
- objective function
- markov random field
- convex sets
- primal dual
- singular value decomposition
- rank minimization
- semi supervised
- matrix decomposition
- linear program
- high order
- trace norm
- kernel matrix
- low rank and sparse
- high dimensional data
- singular values
- data matrix
- image processing
- linear programming
- regularization term
- denoising
- nearest neighbor
- collaborative filtering
- interior point methods
- nuclear norm
- variational inequalities
- data sets
- active learning
- pairwise
- regularized regression