A model selection approach to signal denoising using Kullback's symmetric divergence.
Maïza BekaraLuc KnockaertAbd-Krim SeghouaneGilles FleuryPublished in: Signal Process. (2006)
Keyphrases
- model selection
- denoising
- wavelet packet
- denoising methods
- cross validation
- image denoising
- noisy images
- signal processing
- bayesian learning
- parameter estimation
- hyperparameters
- image processing
- sample size
- regression model
- statistical learning
- error estimation
- source separation
- statistical inference
- feature selection
- machine learning
- information criterion
- model selection criteria
- mixture model
- bayesian information criterion
- variable selection
- marginal likelihood
- parameter determination
- gaussian process
- selection criterion
- objective function