Low-Rank Matrix Recovery via Continuation-Based Approximate Low-Rank Minimization.
Xiang ZhangYongqiang GaoLong LanXiaowei GuoXuhui HuangZhigang LuoPublished in: PRICAI (1) (2018)
Keyphrases
- low rank
- low rank matrix recovery
- minimization problems
- convex optimization
- low rank matrix
- linear combination
- low rank and sparse
- matrix completion
- matrix factorization
- missing data
- singular value decomposition
- semi supervised
- robust face recognition
- high order
- norm minimization
- high dimensional data
- object detection
- rank minimization
- data matrix
- robust principal component analysis
- total variation
- sparse representation
- face recognition
- convex relaxation
- low rank approximation
- higher order