Nonconvex Low-Rank Matrix Recovery with Arbitrary Outliers via Median-Truncated Gradient Descent.
Yuanxin LiYuejie ChiHuishuai ZhangYingbin LiangPublished in: CoRR (2017)
Keyphrases
- low rank matrix recovery
- low rank
- low rank and sparse
- missing data
- robust face recognition
- object detection
- convex optimization
- objective function
- sparse representation
- signal recovery
- low rank matrix
- robust principal component analysis
- salient object detection
- matrix factorization
- singular value decomposition
- data points
- linear combination
- computer vision
- face recognition
- feature analysis
- hierarchical bayesian model
- unsupervised feature selection
- feature selection
- hierarchical bayesian
- generative model
- sparse coding
- high order