Nonconvex Nonsmooth Low-Rank Minimization via Iteratively Reweighted Nuclear Norm.
Canyi LuJinhui TangShuicheng YanZhouchen LinPublished in: CoRR (2015)
Keyphrases
- nuclear norm
- low rank
- low rank matrices
- convex optimization
- norm minimization
- minimization problems
- convex functions
- low rank matrix
- robust principal component analysis
- matrix completion
- regularization term
- ell norm
- total variation
- missing data
- linear combination
- objective function
- singular value decomposition
- semi supervised
- high dimensional data
- matrix factorization
- rank minimization
- interior point methods
- high order
- kernel matrix
- primal dual
- convex relaxation
- unsupervised feature selection
- singular values
- sparse representation
- cutting plane
- linear program
- least squares
- frobenius norm
- pattern recognition
- data sets
- higher order
- low rank approximation
- sparse coding