Variational bayes inference of spatial mixture models for segmentation.
Mark William WoolrichT. E. J. BehrensPublished in: IEEE Trans. Medical Imaging (2006)
Keyphrases
- variational bayes
- gaussian mixture model
- mixture model
- exponential family
- expectation maximization
- em algorithm
- probabilistic model
- bayesian inference
- hyperparameters
- generative model
- image segmentation
- density estimation
- latent variables
- maximum likelihood
- model selection
- unsupervised learning
- variational inference
- probability density function
- bayesian learning
- level set
- free energy
- language model
- gaussian distribution
- feature vectors
- variational methods
- prior knowledge
- computer vision
- posterior distribution
- dimensionality reduction
- latent dirichlet allocation
- posterior probability
- bayesian framework
- prior information
- parameter estimation