Approximate maximum-likelihood estimation using semidefinite programming.
Joachim DahlBernard H. FleuryLieven VandenberghePublished in: ICASSP (6) (2003)
Keyphrases
- maximum likelihood estimation
- semidefinite programming
- maximum likelihood
- linear programming
- em algorithm
- kernel matrix
- expectation maximization
- parameter estimation
- probability distribution
- maximum margin
- primal dual
- density function
- knn
- least squares
- probabilistic model
- kernel methods
- feature space
- image processing
- machine learning
- kernel function