A Spatially Constrained Generative Model and an EM Algorithm for Image Segmentation.
Aristeidis DiplarosNikos A. VlassisTheo GeversPublished in: IEEE Trans. Neural Networks (2007)
Keyphrases
- generative model
- algorithm for image segmentation
- expectation maximization
- probabilistic model
- em algorithm
- image segmentation
- mixture model
- bayesian framework
- prior knowledge
- semi supervised
- posterior probability
- conditional random fields
- discriminative learning
- discriminative models
- topic models
- likelihood function
- computer vision
- latent dirichlet allocation
- markov chain monte carlo
- parameter learning
- learned models
- generative and discriminative models
- bayesian networks
- similarity measure
- decision trees