A map estimation algorithm for Bayesian polynomial regression on riemannian manifolds.
Prasanna MuralidharanJacob D. HinkleP. Thomas FletcherPublished in: ICIP (2017)
Keyphrases
- estimation algorithm
- riemannian manifolds
- polynomial regression
- maximum likelihood
- euclidean space
- maximum a posteriori
- computationally efficient
- locally weighted
- vector space
- mdl principle
- mean shift
- feature space
- geodesic distance
- geometric structure
- em algorithm
- parameter space
- manifold learning
- metric space
- multi class classification
- expectation maximization
- input data
- optical flow
- machine learning