Local Minima and Convergence in Low-Rank Semidefinite Programming.
Samuel BurerRenato D. C. MonteiroPublished in: Math. Program. (2005)
Keyphrases
- low rank
- semidefinite programming
- kernel matrix
- convex optimization
- missing data
- matrix factorization
- trace norm
- linear combination
- positive semidefinite
- semi supervised
- singular value decomposition
- interior point methods
- semidefinite
- high dimensional data
- high order
- linear programming
- interior point
- convergence rate
- kernel methods
- denoising
- small number
- pattern recognition