Low-Rank Positive Semidefinite Matrix Recovery from Quadratic Measurements with Outliers.
Yuanxin LiYue SunYuejie ChiPublished in: CoRR (2016)
Keyphrases
- low rank
- positive semidefinite
- missing data
- kernel matrix
- linear combination
- matrix factorization
- kernel matrices
- matrix completion
- semidefinite programming
- low rank matrix
- singular value decomposition
- convex optimization
- rank minimization
- semi supervised
- semidefinite
- missing values
- high dimensional data
- trace norm
- pairwise
- objective function
- high order
- low rank approximation
- higher order
- recommender systems