Eigenvalue problems occupy a central role in Riemannian geometry, providing profound insights into the interplay between geometry and analysis. At their core, these problems involve the study of ...

Abstract: A Riemannian-geometry approach for control and stabilization of dynamics of object manipulation under holonomic or non-holonomic (but Pfaffian) constraints is presented. First, ...

Abstract: Riemannian geometry-based signal processing approaches on EEG signals provides similar decoding performance compared to state-of-the-art methods. However ...

Since our algorithm has already been integrated into the non-Euclidean machine learning library Manify, we will maintain our code there. Clustering data on Riemannian manifolds, especially in ...

ABSTRACT: We consider an associated Riemannian metric induced by a rigging defined on a neighborhood of the null hypersurface in a Lorentzian manifold, and we connect this null geometry with the ...

pyRiemann is a Python machine learning package based on scikit-learn API. It provides a high-level interface for processing and classification of multivariate time series through the Riemannian ...