RAP: Scalable RPCA for Low-rank Matrix Recovery.
Chong PengZhao KangMing YangQiang ChengPublished in: CIKM (2016)
Keyphrases
- low rank matrix recovery
- low rank
- low rank and sparse
- object detection
- robust principal component analysis
- robust face recognition
- convex optimization
- low rank matrix
- salient object detection
- sparse representation
- signal recovery
- linear combination
- matrix factorization
- missing data
- feature analysis
- singular value decomposition
- semi supervised
- small number
- hierarchical bayesian model
- foreground detection
- active appearance models
- background subtraction
- high order