Dual-Graph Regularized Sparse Low-Rank Matrix Recovery for Tag Refinement.
Dengdi SunYuanyuan BaoMeiling GeZhuanlian DingBin LuoPublished in: BIC-TA (2) (2019)
Keyphrases
- low rank and sparse
- low rank matrix recovery
- signal recovery
- robust principal component analysis
- convex optimization
- low rank
- sparse representation
- orthogonal matching pursuit
- low rank matrix
- hierarchical bayesian model
- compressed sensing
- least squares
- matrix factorization
- object detection
- linear combination
- feature selection
- transform domain
- image classification
- image features