A New Method for Random Initialization of the EM Algorithm for Multivariate Gaussian Mixture Learning.
Wojciech KwedloPublished in: CORES (2013)
Keyphrases
- em algorithm
- gaussian mixture
- expectation maximization
- parameter estimation
- mixture model
- hidden variables
- maximum likelihood
- maximum likelihood estimation
- gaussian mixture model
- prior knowledge
- generative model
- finite mixture models
- unsupervised learning
- gaussian density
- log likelihood
- closed form
- covariance matrix
- learning algorithm
- probabilistic model
- probability density
- density estimation
- multiscale
- finite mixtures
- image processing
- probability density function
- pairwise
- supervised learning
- bayesian networks
- face recognition
- maximum a posteriori
- reinforcement learning
- mixture of gaussians
- computer vision
- upper bound