Kernel Density Estimation on Riemannian Manifolds: Asymptotic Results.
Guillermo HenryDaniela RodriguezPublished in: J. Math. Imaging Vis. (2009)
Keyphrases
- kernel density estimation
- riemannian manifolds
- mean shift
- euclidean space
- probability density function
- higher dimensional
- density function
- feature space
- vector space
- graph cuts
- particle filter
- feature extraction
- machine learning
- object segmentation
- probability density
- metric space
- density estimation
- feature selection