Distributed Bayesian Compressive Sensing using Gibbs sampler.
Hua AiYang LuWenbin GuoPublished in: WCSP (2012)
Keyphrases
- compressive sensing
- gibbs sampler
- posterior distribution
- bayesian inference
- random projections
- sparse representation
- image representation
- probability distribution
- signal processing
- bayesian networks
- parameter estimation
- bayesian framework
- markov chain
- random fields
- latent variables
- markov chain monte carlo
- posterior probability
- maximum a posteriori
- maximum entropy
- machine learning
- gibbs sampling
- information retrieval
- probabilistic model
- pattern recognition
- hyperparameters
- maximum likelihood
- computer vision
- principal component analysis
- learning algorithm