Principal Curves on Riemannian Manifolds.
Søren HaubergPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (2016)
Keyphrases
- principal curves
- riemannian manifolds
- manifold learning
- tangent space
- euclidean space
- geodesic distance
- piecewise linear
- low dimensional
- principal components
- semi supervised
- dimensionality reduction
- high dimensional
- medial axis
- vector space
- geometric structure
- feature space
- mean shift
- dimension reduction
- parameter space
- high dimensional data
- pairwise
- feature extraction
- sparse representation
- curve fitting
- sample set
- metric space
- multi class classification
- markov random field
- support vector