Hyperparameters estimation for the Bayesian localization of the EEG sources with TV priors.
Antonio LópezJesús M. CortésDomingo Lopez-OllerRafael MolinaAggelos K. KatsaggelosPublished in: EUSIPCO (2012)
Keyphrases
- hyperparameters
- bayesian framework
- posterior distribution
- bayesian inference
- prior information
- maximum a posteriori
- bayesian methods
- model selection
- gaussian processes
- cross validation
- maximum likelihood
- posterior probability
- gaussian process
- conjugate priors
- marginal likelihood
- parameter estimation
- random sampling
- generative model
- closed form
- support vector
- prior knowledge
- sample size
- noise level
- regularization parameter
- em algorithm
- expectation maximization
- incremental learning
- incomplete data
- parameter settings
- probability distribution
- probabilistic model
- bayesian networks
- computer vision
- high dimensional
- upper bound
- noisy images