Uncertainty Modeling and Model Selection for Geometric Inference.
Ken-ichi KanataniPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (2004)
Keyphrases
- model selection
- cross validation
- statistical inference
- hyperparameters
- bayesian model selection
- meta learning
- bayesian learning
- regression model
- sample size
- parameter estimation
- model selection criteria
- error estimation
- mixture model
- bayesian inference
- generalization error
- motion segmentation
- statistical learning
- variable selection
- machine learning
- variational bayes
- feature selection
- marginal likelihood
- bayesian information criterion
- probabilistic inference
- leave one out cross validation
- parameter determination
- bayesian networks
- automatic model selection
- dynamic bayesian networks
- bayesian methods
- support vector