Variational Inference With ARD Prior for NIRS Diffuse Optical Tomography.
Atsushi MiyamotoKazuho WatanabeKazushi IkedaMasa-aki SatoPublished in: IEEE Trans. Neural Networks Learn. Syst. (2015)
Keyphrases
- variational inference
- diffuse optical tomography
- bayesian inference
- topic models
- prior information
- posterior distribution
- mixture model
- gaussian process
- probabilistic model
- variational methods
- probabilistic graphical models
- latent dirichlet allocation
- exponential family
- closed form
- maximum a posteriori
- finite element method
- boundary element method
- prior knowledge
- exact inference
- generative model
- factor graphs
- graphical models
- bayesian framework
- approximate inference
- image reconstruction
- first order logic
- maximum likelihood
- level set
- image segmentation