Search Results for author:
Found 2 papers, 1 papers with code
Ridge Regression for Manifold-valued Time-Series with Application to Meteorological Forecast
We propose a natural intrinsic extension of the ridge regression from Euclidean spaces to general manifolds, which relies on Riemannian least-squares fitting, empirical covariance, and Mahalanobis distance.
Sasaki Metric for Spline Models of Manifold-Valued Trajectories
We propose a generic spatiotemporal framework to analyze manifold-valued measurements, which allows for employing an intrinsic and computationally efficient Riemannian hierarchical model.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
