Probabilistic classifiers with a generalized Gaussian scale mixture prior.
Guoqing LiuJianxin WuSuiping ZhouPublished in: Pattern Recognit. (2013)
Keyphrases
- generalized gaussian
- probabilistic classifiers
- maximum a posteriori
- prior model
- gaussian model
- prior distribution
- markov random field
- expectation maximization
- probability density function
- mixture model
- prior information
- em algorithm
- wavelet coefficients
- kullback leibler divergence
- gaussian mixture model
- maximum likelihood
- naive bayes classifier
- generative model
- bayesian networks
- probabilistic model
- naive bayes
- probability distribution
- sar images
- wavelet domain
- bayesian framework
- gaussian distribution
- hyperparameters
- supervised learning
- model selection
- active learning
- prior knowledge
- learning algorithm
- image segmentation