Sparse Bayesian learning using correlated hyperparameters for recovery of block sparse signals.
Hongyu CuiHuiping DuanPublished in: Digit. Signal Process. (2017)
Keyphrases
- sparse bayesian learning
- hyperparameters
- relevance vector machine
- gaussian processes
- model selection
- cross validation
- bayesian inference
- gaussian process
- closed form
- bayesian framework
- support vector
- random sampling
- em algorithm
- posterior distribution
- maximum a posteriori
- maximum likelihood
- prior information
- sample size
- noise level
- bayesian learning
- incremental learning
- sparse learning
- signal processing
- incomplete data
- regularization parameter
- regression problems
- missing values
- parameter estimation
- parameter settings
- machine learning
- parameter space
- generative model
- edge detection
- noisy images
- multiscale