Computational enhancements in low-rank semidefinite programming.
Samuel BurerChanghui ChoiPublished in: Optim. Methods Softw. (2006)
Keyphrases
- low rank
- semidefinite programming
- kernel matrix
- convex optimization
- missing data
- trace norm
- positive semidefinite
- matrix factorization
- linear combination
- interior point methods
- singular value decomposition
- semi supervised
- high dimensional data
- semidefinite
- kernel methods
- linear programming
- interior point
- metric learning
- high order
- primal dual
- kernel function
- data analysis
- high dimensional
- image classification
- minimization problems