Keyphrases
- maximum entropy
- low rank matrix recovery
- low rank
- robust face recognition
- object detection
- low rank and sparse
- low rank matrix
- convex optimization
- sparse representation
- maximum entropy principle
- missing data
- conditional random fields
- matrix factorization
- feature analysis
- signal recovery
- linear combination
- face recognition
- singular value decomposition
- feature selection
- high dimensional data
- semi supervised
- bayesian networks