Structured Bayesian compressive sensing exploiting dirichlet process priors.
Qisong WuYin FuYimin D. ZhangMoeness G. AminPublished in: Signal Process. (2022)
Keyphrases
- dirichlet process
- compressive sensing
- posterior distribution
- gaussian processes
- bayesian model
- variational inference
- multi task learning
- markov chain monte carlo
- mixture model
- bayesian framework
- sparse representation
- random projections
- bayesian inference
- latent variables
- probability distribution
- posterior probability
- hyperparameters
- parameter estimation
- gaussian process
- sampling algorithm
- image representation
- signal processing
- latent topics
- variational methods
- topic models
- model selection
- maximum likelihood
- maximum a posteriori
- generative model
- prior information
- prior knowledge
- random sampling
- gaussian distribution
- latent dirichlet allocation
- co occurrence
- clustering algorithm
- learning problems
- support vector
- bayesian networks
- feature extraction