Bayesian maximum a posterior DOA estimator based on Gibbs sampling.
Jianguo HuangXiong LiQunFei ZhangPublished in: EUSIPCO (2005)
Keyphrases
- gibbs sampling
- maximum a posterior
- map estimation
- maximum likelihood
- dirichlet process mixture
- maximum a posteriori
- parameter estimation
- markov random field
- em algorithm
- expectation maximization
- markov chain monte carlo
- posterior distribution
- approximate inference
- markov chain
- least squares
- belief networks
- topic models
- latent dirichlet allocation
- hyperparameters
- bayesian networks
- bayesian framework
- exact inference
- generative model
- pairwise
- markov networks
- image reconstruction
- posterior probability
- graph cuts
- higher order
- image segmentation
- bayesian inference
- belief propagation
- energy function
- image restoration
- computer vision
- video sequences