Results 21 to 30 of about 1,130,790 (239)

The Efficacy and Utility of Lower-Dimensional Riemannian Geometry for EEG-Based Emotion Classification

open access: yesApplied Sciences, 2023
Electroencephalography (EEG) signals have diverse applications in brain-computer interfaces (BCIs), neurological condition diagnoses, and emotion recognition across healthcare, education, and entertainment domains.
Zubaidah Al-Mashhadani   +4 more
doaj   +1 more source

Transfer Learning Algorithm of P300-EEG Signal Based on XDAWN Spatial Filter and Riemannian Geometry Classifier

open access: yesApplied Sciences, 2020
The electroencephalogram (EEG) signal in the brain–computer interface (BCI) has suffered great cross-subject variability. The BCI system needs to be retrained before each time it is used, which is a waste of resources and time.
Feng Li   +5 more
semanticscholar   +1 more source

Background field method for nonlinear sigma models in nonrelativistic string theory

open access: yesJournal of High Energy Physics, 2020
We continue the study of nonrelativistic string theory in background fields. Nonrelativistic string theory is described by a nonlinear sigma model that maps a relativistic worldsheet to a non-Lorentzian and non-Riemannian target space geometry, which is ...
Ziqi Yan, Matthew Yu
doaj   +1 more source

Riemannian Geometry of Symmetric Positive Definite Matrices via Cholesky Decomposition [PDF]

open access: yesSIAM Journal on Matrix Analysis and Applications, 2019
We present a new Riemannian metric, termed Log-Cholesky metric, on the manifold of symmetric positive definite (SPD) matrices via Cholesky decomposition. We first construct a Lie group structure and a bi-invariant metric on Cholesky space, the collection
Zhenhua Lin
semanticscholar   +1 more source

A Generalized Bochner Technique and Its Application to the Study of Conformal Mappings

open access: yesAxioms, 2021
This article is devoted to geometrical aspects of conformal mappings of complete Riemannian and Kählerian manifolds and uses the Bochner technique, one of the oldest and most important techniques in modern differential geometry. A feature of this article
Vladimir Rovenski   +2 more
doaj   +1 more source

On some conformally einstein manifolds of dimension four [PDF]

open access: yesریاضی و جامعه, 2022
We study an important family of four-dimensional pseudo-Riemannian manifolds, i.e. generalized symmetric spaces, in terms of conformal geometry. Generalized symmetric spaces were introduced by geometers as an extension of symmetric spaces, and a detailed
Amirhesam Zaeim   +2 more
doaj   +1 more source

The Geometry of Riemannian Spaces [PDF]

open access: yesTransactions of the American Mathematical Society, 1934
The primary purpose of this paper is to expose, in as simple and clear a form as is possible, the fundamentals of the geometric structure of a Riemannian space. It is a general truth that the methods which pierce most deeply into the heart of a geometric theory are invariant methods, that is, methods which are independent of the choice of the ...
openaire   +2 more sources

On Cartan torsion of 4-dimensional Finsler manifolds [PDF]

open access: yesJournal of Hyperstructures
There are several non-Riemannian curvatures in Finsler geometry which show the complexity of Finsler geometry with respect to Riemannian geometry. Amon these quantities, the Cartan and mean Cartan torsion have very important and brilliant positions.
Akbar Tayebi
doaj   +1 more source

String Theory and Non-Riemannian Geometry.

open access: yesPhysical Review Letters, 2020
The O(D,D) covariant generalized metric, postulated as a truly fundamental variable, can describe novel geometries where the notion of Riemannian metric ceases to exist.
Jeong-Hyuck Park, S. Sugimoto
semanticscholar   +1 more source

Geometry without topology as a new conception of geometry

open access: yesInternational Journal of Mathematics and Mathematical Sciences, 2002
A geometric conception is a method of a geometry construction. The Riemannian geometric conception and a new T-geometric one are considered. T-geometry is built only on the basis of information included in the metric (distance between two points).
Yuri A. Rylov
doaj   +1 more source

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