A Perturbation Inequality for the Schatten-$p$ Quasi-Norm and Its Applications to Low-Rank Matrix Recovery
Man-Chung YueAnthony Man-Cho SoPublished in: CoRR (2012)
Keyphrases
- low rank matrix recovery
- low rank
- robust principal component analysis
- low rank and sparse
- robust face recognition
- object detection
- convex optimization
- sparse representation
- low rank matrix
- signal recovery
- salient object detection
- missing data
- linear combination
- matrix factorization
- high dimensional data
- hierarchical bayesian model
- semi supervised
- small number