On-line EM Algorithm for the Normalized Gaussian Network.
Masa-aki SatoShin IshiiPublished in: Neural Comput. (2000)
Keyphrases
- em algorithm
- maximum likelihood
- expectation maximization
- gaussian mixture model
- gaussian mixture
- mixture model
- maximum likelihood estimation
- parameter estimation
- likelihood function
- mixture distribution
- expectation maximisation
- penalized likelihood
- generative model
- log likelihood
- hidden variables
- gaussian distribution
- density estimation
- incomplete data
- probability density function
- maximum a posteriori
- multiscale
- finite mixtures
- image segmentation
- density function
- image processing
- probabilistic model
- gaussian model
- mixture of gaussians
- model based clustering
- similarity measure
- likelihood maximization