Continuous-Discrete Filtering and Smoothing on Submanifolds of Euclidean Space.
Filip TronarpSimo SärkkäPublished in: FUSION (2022)
Keyphrases
- euclidean space
- discrete space
- low dimensional
- shape analysis
- data points
- high dimensional
- vector space
- riemannian manifolds
- metric space
- bilateral filtering
- geodesic distance
- euclidean distance
- dimensionality reduction
- finite dimensional
- quadratic form
- dimensional euclidean space
- multi dimensional scaling
- pairwise distances
- high dimensional data
- feature space
- principal component analysis
- manifold learning
- graph laplacian
- pairwise
- embedding space
- fisher information
- pattern recognition
- multiscale
- neural network
- constant curvature
- data sets