Performance analysis of quasi-maximum-likelihood detector based on semi-definite programming.
Mikalai KisialiouZhi-Quan LuoPublished in: ICASSP (3) (2005)
Keyphrases
- semi definite programming
- maximum likelihood
- convex optimization
- kernel learning
- kernel matrix
- linear programming
- expectation maximization
- trust region
- metric learning
- em algorithm
- pairwise constraints
- log likelihood
- maximum margin
- semidefinite
- kernel methods
- maximum a posteriori
- semi supervised learning
- convex relaxation
- hyperparameters
- support vector regression
- np hard
- semidefinite programming
- semi supervised