Higher Order Gauge Equivariant CNNs on Riemannian Manifolds and Applications.
Gianfranco CortesYue YuRobin ChenMelissa ArmstrongDavid E. VaillancourtBaba C. VemuriPublished in: CoRR (2023)
Keyphrases
- riemannian manifolds
- higher order
- euclidean space
- pairwise
- vector space
- multi class classification
- mean shift
- high order
- covariance matrix
- parameter space
- markov random field
- feature space
- geometric structure
- manifold learning
- geodesic distance
- covariance matrices
- reproducing kernel hilbert space
- matrix valued
- shape analysis
- high dimensional
- sample size
- query processing
- feature vectors
- numerical solution
- vector valued