Uncertainty Based Camera Model Selection.
Michal PolicStanislav SteidlCenek AlblZuzana KukelovaTomás PajdlaPublished in: CVPR (2020)
Keyphrases
- model selection
- cross validation
- hyperparameters
- bayesian learning
- statistical learning
- parameter estimation
- meta learning
- sample size
- regression model
- error estimation
- machine learning
- gaussian process
- motion segmentation
- marginal likelihood
- variable selection
- mixture model
- model selection criteria
- generalization error
- statistical inference
- bayesian model selection
- automatic model selection
- conditional probabilities
- least squares
- selection criterion
- bayesian information criterion
- leave one out cross validation
- support vector
- training data
- decision trees