Parameter estimation for von mises-fisher mixture model via Gaussian distribution.
Suguru YasutomiToshihisa TanakaPublished in: APSIPA (2014)
Keyphrases
- parameter estimation
- gaussian distribution
- von mises fisher
- mixture model
- maximum likelihood
- expectation maximization
- em algorithm
- gaussian mixture model
- noise model
- multi variate
- model selection
- maximum likelihood estimation
- probabilistic model
- covariance matrices
- posterior distribution
- gaussian mixture
- generative model
- unsupervised learning
- probability density function
- bayesian framework
- least squares
- k means
- image segmentation
- reinforcement learning
- markov random field
- training data