Low-rank exploitation in semidefinite programming for control.
Rikard FalkebornJohan LöfbergAnders HanssonPublished in: Int. J. Control (2011)
Keyphrases
- low rank
- semidefinite programming
- kernel matrix
- convex optimization
- trace norm
- linear combination
- missing data
- matrix factorization
- interior point methods
- positive semidefinite
- singular value decomposition
- semidefinite
- primal dual
- high dimensional data
- semi supervised
- kernel methods
- high order
- linear programming
- kernel function
- metric learning
- feature space
- interior point
- small number
- support vectors
- minimization problems
- least squares
- training samples
- support vector