Context-GMM: Incremental learning of sparse priors for Gaussian mixture regression.
Arturo RibesJesús Cerquides BuenoYiannis DemirisRamón López de MántarasPublished in: ROBIO (2012)
Keyphrases
- gaussian mixture
- incremental learning
- gaussian mixture model
- mixtures of gaussians
- em algorithm
- mixture model
- probability density function
- density estimation
- covariance matrix
- incremental learning algorithm
- closed form
- expectation maximization
- fuzzy artmap
- gaussian densities
- supervised learning
- learning process
- model selection
- maximum likelihood
- bayesian framework
- prior knowledge
- mixture of gaussians
- high dimensional
- gaussian density
- information retrieval
- sample size
- semi supervised
- image processing
- learning algorithm