Bayesian online regression for adaptive direct illumination sampling.
Petr VévodaIvo KondapaneniJaroslav KrivánekPublished in: ACM Trans. Graph. (2018)
Keyphrases
- sparse bayesian learning
- gaussian processes
- online learning
- regression model
- adaptive sampling
- model selection
- regression analysis
- bayesian networks
- sampling algorithm
- bayesian learning
- parameter space
- monte carlo
- sample size
- data driven
- real time
- posterior probability
- bayesian inference
- support vector regression
- random sampling
- posterior distribution
- super resolution
- sampling methods
- illumination invariant
- relevance vector machine
- sequential monte carlo
- support vector