Intrinsic Polynomials for Regression on Riemannian Manifolds.
Jacob D. HinkleP. Thomas FletcherSarang C. JoshiPublished in: J. Math. Imaging Vis. (2014)
Keyphrases
- riemannian manifolds
- geometric structure
- reproducing kernel hilbert space
- euclidean space
- mean shift
- regression model
- geodesic distance
- model selection
- vector space
- multi class classification
- feature space
- manifold learning
- parameter space
- loss function
- gaussian processes
- kernel methods
- distance metric
- tangent space
- learning theory
- learning tasks