Nonasymptotic Guarantees for Low-Rank Matrix Recovery with Generative Priors.
Jorio CocolaPaul HandVladislav VoroninskiPublished in: CoRR (2020)
Keyphrases
- low rank matrix recovery
- low rank and sparse
- hierarchical bayesian model
- generative model
- low rank
- robust face recognition
- object detection
- sparse representation
- bayesian framework
- salient object detection
- convex optimization
- linear combination
- discriminative learning
- low rank matrix
- singular value decomposition
- feature analysis
- unsupervised learning
- prior information
- matrix factorization
- signal processing
- signal recovery
- least squares
- multi class