From the Greene-Wu Convolution to Gradient Estimation over Riemannian Manifolds.
Tianyu WangYifeng HuangDidong LiPublished in: CoRR (2021)
Keyphrases
- gradient estimation
- riemannian manifolds
- euclidean space
- variance reduction
- mean shift
- multi class classification
- vector space
- manifold learning
- parameter space
- feature space
- covariance matrices
- geometric structure
- covariance matrix
- geodesic distance
- metric space
- particle filter
- low dimensional
- reproducing kernel hilbert space
- high dimensional
- lower bound
- image segmentation