Polynomial Regression on Riemannian Manifolds.
Jacob D. HinklePrasanna MuralidharanP. Thomas FletcherSarang C. JoshiPublished in: ECCV (3) (2012)
Keyphrases
- riemannian manifolds
- polynomial regression
- euclidean space
- locally weighted
- vector space
- mdl principle
- mean shift
- multi class classification
- geometric structure
- feature space
- manifold learning
- covariance matrices
- geodesic distance
- parameter space
- shape analysis
- covariance matrix
- pattern recognition
- decision trees
- reproducing kernel hilbert space
- least squares
- support vector