Results 101 to 110 of about 90,046 (220)

A Riemannian-Geometry Approach for Modeling and Control of Dynamics of Object Manipulation under Constraints

Journal of Robotics, 2009
A Riemannian-geometry approach for modeling and control of dynamics of object manipulation under holonomic or non-holonomic constraints is presented.
Suguru Arimoto, Morio Yoshida, Masahiro Sekimoto, Kenji Tahara   +3 more
doaj   +1 more source

Riemannian geometry-based transfer learning for reducing training time in c-VEP BCIs. [PDF]

Sci Rep, 2022
Ying J, Wei Q, Zhou X.
europepmc   +1 more source

The transverse geometry of $G$-manifolds and Riemannian foliations [PDF]

, 2001
Ken Richardson
openalex   +1 more source

Corrigendum: Mental State Detection Using Riemannian Geometry on Electroencephalogram Brain Signals. [PDF]

Front Hum Neurosci, 2022
Wriessnegger SC, Raggam P, Kostoglou K, Müller-Putz GR.   +3 more
europepmc   +1 more source

Two-dimensional Riemannian and Lorentzian geometries from second-order ODE’s [PDF]

, 2004
Emanuel Gallo
openalex   +1 more source

On proper helices and extrinsic spheres in pseudo-Riemannian geometry [PDF]

, 1996
Takahisa Kimura, Naoyuki Koike, Hwa Hon Song Song   +2 more
openalex   +1 more source

Mental State Detection Using Riemannian Geometry on Electroencephalogram Brain Signals. [PDF]

Front Hum Neurosci, 2021
Wriessnegger SC, Raggam P, Kostoglou K, Müller-Putz GR.   +3 more
europepmc   +1 more source

Laser-dressed states on Riemannian manifolds: A generalization of the Kramers-Henneberger transformation

Physical Review Research
Quantum particles under geometric constraints are sensitive to the geometry and topology of the underlying space. We analytically study the laser-driven nonlinear dynamics of a quantum particle whose motion is constrained to a two-dimensional Riemannian ...
Hannah Bendin, Benjamin Schwager, Jamal Berakdar   +2 more
doaj   +1 more source

Riemannian Geometry of Functional Connectivity Matrices for Multi-Site Attention-Deficit/Hyperactivity Disorder Data Harmonization. [PDF]

Front Neuroinform, 2022
Simeon G, Piella G, Camara O, Pareto D.
europepmc   +1 more source

Geomstats: A Python Package for Riemannian Geometry in Machine Learning [PDF]

, 2020
Nina Miolane, Nicolas Guigui, Alice Le Brigant, Johan Mathe, Benjamin Hou, Yann Thanwerdas, Stefan Heyder, Olivier Peltre, Niklas Koep, Hadi Zaatiti, Hatem Hajri, Yann Cabanes, Thomas Gerald, Paul Chauchat, Christian Shewmake, Daniel Brooks, Bernhard Kainz, Claire Donnat, Susan Holmes   +18 more
openalex   +1 more source