Registering sets of points using Bayesian regression.
Demetrios GerogiannisChristophoros NikouAristidis LikasPublished in: Neurocomputing (2012)
Keyphrases
- sparse bayesian learning
- bayesian networks
- regression model
- gaussian processes
- point sets
- bayesian inference
- bayesian estimation
- linear regression
- minimal subsets
- model selection
- data points
- regression problems
- polynomial regression
- model averaging
- locally weighted
- partial least squares
- feature points
- image registration
- convex hull
- regression method
- high dimensional
- bayesian decision
- keypoints
- relevance vector machine
- regression algorithm
- neural network
- artificial neural networks
- knn
- bayesian learning
- data driven
- probability distribution
- posterior distribution
- endpoints