Sparse Multivariate Gaussian Mixture Regression.
Luis WeruagaJavier VíaPublished in: IEEE Trans. Neural Networks Learn. Syst. (2015)
Keyphrases
- gaussian mixture
- regression model
- gaussian density
- mixtures of gaussians
- em algorithm
- covariance matrix
- gaussian mixture model
- probability density function
- closed form
- expectation maximization
- probability density
- model selection
- mixture model
- mixture of gaussians
- sparse representation
- high dimensional
- density estimation
- kl divergence
- probabilistic model
- data mining
- gaussian densities
- maximum likelihood
- supervised learning
- semi supervised
- feature selection