Scale-Based Gaussian Coverings: Combining Intra and Inter Mixture Models in Image Segmentation.
Fionn MurtaghPedro ContrerasJean-Luc StarckPublished in: Entropy (2009)
Keyphrases
- mixture model
- gaussian mixture model
- image segmentation
- expectation maximization
- maximum likelihood
- gaussian mixture
- density estimation
- em algorithm
- gaussian model
- generative model
- probabilistic model
- mixture modeling
- language model
- probability density function
- model selection
- gaussian distribution
- unsupervised learning
- density function
- graph cuts
- level set
- unsupervised image segmentation
- image processing
- generalized em algorithm
- mixture of gaussians
- automatic model selection
- scale space
- markov random field
- probability density
- multiscale
- image segmentation algorithm
- finite mixtures
- information retrieval
- bayesian framework
- text classification
- covariance matrices
- semi supervised
- training data
- mixture components
- computer vision
- data sets