Robust low-rank optimization for large scale problems.
Licheng ZhaoPrabhu BabuDaniel Pérez PalomarPublished in: ACSSC (2015)
Keyphrases
- low rank
- matrix completion
- rank minimization
- low rank matrix
- norm minimization
- optimization problems
- matrix factorization
- low rank representation
- semi supervised
- linear combination
- convex optimization
- minimization problems
- quadratic programming
- robust principal component analysis
- low rank matrices
- nuclear norm
- high order
- high dimensional data
- convex optimization problems
- convex relaxation
- data sets
- trace norm
- missing data
- feature space
- objective function
- image processing