Image Segmentation Using a Spatially Correlated Mixture Model with Gaussian Process Priors.
Kosei KurisuNobuo SuematsuKazunori IwataAkira HayashiPublished in: ACPR (2013)
Keyphrases
- gaussian process
- mixture model
- spatially correlated
- bayesian framework
- expectation maximization
- image segmentation
- generative model
- model selection
- em algorithm
- hyperparameters
- gaussian processes
- bayesian nonparametric
- generalized em algorithm
- gaussian mixture model
- dirichlet process
- probabilistic model
- maximum a posteriori
- variational inference
- approximate inference
- posterior distribution
- density estimation
- maximum likelihood
- latent variables
- prior distribution
- depth map
- regression model
- unsupervised learning
- probability density function
- graph cuts
- variational bayes
- cross validation
- markov random field
- semi supervised
- image processing
- language model
- level set
- computer vision
- energy function