Bayesian K-SVD Using Fast Variational Inference.
Juan G. SerraMatteo TestaRafael MolinaAggelos K. KatsaggelosPublished in: IEEE Trans. Image Process. (2017)
Keyphrases
- variational inference
- bayesian inference
- posterior distribution
- sparse representation
- topic models
- probabilistic graphical models
- probabilistic model
- gaussian process
- mixture model
- latent dirichlet allocation
- closed form
- variational methods
- hyperparameters
- probability distribution
- exponential family
- latent variables
- exact inference
- prior information
- bayesian framework
- parameter estimation
- maximum a posteriori
- approximate inference
- posterior probability
- image processing
- factor graphs
- markov chain monte carlo
- graphical models
- hidden variables
- maximum likelihood
- generative model
- prior knowledge
- pairwise
- data analysis
- support vector
- random variables
- computer vision