Model Selection CNN-based VVC Quality Enhancement.
Fatemeh NasiriWassim HamidoucheLuce MorinNicolas DhollandeGildas CocherelPublished in: PCS (2021)
Keyphrases
- model selection
- cross validation
- hyperparameters
- sample size
- bayesian learning
- statistical inference
- parameter estimation
- statistical learning
- regression model
- mixture model
- motion segmentation
- meta learning
- error estimation
- marginal likelihood
- selection criterion
- variable selection
- machine learning
- generalization error
- gaussian process
- model selection criteria
- decision trees
- gaussian mixture model
- least squares
- support vector machine
- information criterion
- support vector
- hypothesis tests
- bayesian networks
- parameter determination
- bayesian model selection
- automatic model selection