Keyphrases
- stochastic differential equations
- information geometry
- riemannian metric
- fisher information
- riemannian manifolds
- manifold learning
- geodesic distance
- information theory
- euclidean space
- lie group
- maximum a posteriori estimation
- brownian motion
- additive gaussian noise
- parameter space
- noise level
- low dimensional
- high dimensional
- vector space
- kullback leibler divergence
- probability density function
- noisy images
- feature space
- fractional brownian motion