Low-Rank Positive Semidefinite Matrix Recovery From Corrupted Rank-One Measurements.
Yuanxin LiYue SunYuejie ChiPublished in: IEEE Trans. Signal Process. (2017)
Keyphrases
- low rank
- positive semidefinite
- positive semidefinite matrices
- kernel matrix
- linear combination
- nuclear norm
- singular values
- kernel matrices
- low rank approximation
- convex optimization
- matrix factorization
- low rank matrix
- missing data
- semidefinite programming
- singular value decomposition
- matrix completion
- rank minimization
- semi supervised
- high dimensional data
- high order
- trace norm
- higher order
- small number
- image processing
- pattern recognition
- semidefinite
- similarity function
- feature extraction
- high dimensional
- low rank and sparse