Keyphrases
- maximum entropy
- low rank matrix recovery
- low rank
- robust face recognition
- object detection
- low rank and sparse
- sparse representation
- convex optimization
- low rank matrix
- maximum entropy principle
- matrix factorization
- missing data
- linear combination
- signal recovery
- face recognition
- feature analysis
- high order
- singular value decomposition
- high dimensional data
- semi supervised
- object recognition
- information retrieval
- subspace learning
- conditional random fields
- prior knowledge
- bayesian networks
- computer vision