Polynomial Regression on Riemannian Manifolds
Jacob D. HinklePrasanna MuralidharanP. Thomas FletcherSarang C. JoshiPublished in: CoRR (2012)
Keyphrases
- polynomial regression
- riemannian manifolds
- euclidean space
- locally weighted
- parameter space
- vector space
- mdl principle
- mean shift
- multi class classification
- geometric structure
- geodesic distance
- manifold learning
- feature space
- covariance matrices
- covariance matrix
- shape analysis
- regression model
- linear regression
- image sequences
- multi class
- probabilistic model
- feature vectors