A Global Convergence Analysis for Computing a Symmetric Low-Rank Orthogonal Approximation.
Wenxin DuShenglong HuYouyicun LinJie WangPublished in: Asia Pac. J. Oper. Res. (2022)
Keyphrases
- low rank
- convergence analysis
- approximation methods
- low rank matrix
- missing data
- matrix factorization
- linear combination
- convex optimization
- matrix completion
- global convergence
- rank minimization
- singular value decomposition
- semi supervised
- high order
- optimality conditions
- kernel matrix
- convergence rate
- high dimensional data
- neural network
- belief state
- collaborative filtering
- nearest neighbor
- pairwise