Results 1 to 10 of about 483,038 (315)

Research on the Necessity of Lie Group Strapdown Inertial Integrated Navigation Error Model Based on Euler Angle [PDF]

open access: yesSensors, 2022
In response to the lack of specific demonstration and analysis of the research on the necessity of the Lie group strapdown inertial integrated navigation error model based on the Euler angle, two common integrated navigation systems, strapdown inertial ...
Leiyuan Qian   +3 more
doaj   +2 more sources

Multi-Stage Meta-Learning for Few-Shot with Lie Group Network Constraint [PDF]

open access: yesEntropy, 2020
Deep learning has achieved many successes in different fields but can sometimes encounter an overfitting problem when there are insufficient amounts of labeled samples.
Fang Dong, Li Liu, Fanzhang Li
doaj   +2 more sources

Lie Group Methods in Blind Signal Processing [PDF]

open access: yesSensors, 2020
This paper deals with the use of Lie group methods to solve optimization problems in blind signal processing (BSP), including Independent Component Analysis (ICA) and Independent Subspace Analysis (ISA). The paper presents the theoretical fundamentals of
Dariusz Mika, Jerzy Jozwik
doaj   +2 more sources

Jacobi–Lie symmetry and Jacobi–Lie T-dual sigma models on group manifolds [PDF]

open access: yesNuclear Physics B, 2018
Using the concept of Jacobi–Lie group and Jacobi–Lie bialgebra, we generalize the definition of Poisson–Lie symmetry to Jacobi–Lie symmetry. In this regard, we generalize the concept of Poisson–Lie T-duality to Jacobi–Lie T-duality and present Jacobi–Lie
A. Rezaei-Aghdam, M. Sephid
doaj   +2 more sources

Lie Group Cohomology and (Multi)Symplectic Integrators: New Geometric Tools for Lie Group Machine Learning Based on Souriau Geometric Statistical Mechanics [PDF]

open access: yesEntropy, 2020
In this paper, we describe and exploit a geometric framework for Gibbs probability densities and the associated concepts in statistical mechanics, which unifies several earlier works on the subject, including Souriau’s symplectic model of statistical ...
Frédéric Barbaresco   +1 more
doaj   +2 more sources

Lie Group Statistics and Lie Group Machine Learning Based on Souriau Lie Groups Thermodynamics & Koszul-Souriau-Fisher Metric: New Entropy Definition as Generalized Casimir Invariant Function in Coadjoint Representation [PDF]

open access: yesEntropy, 2020
In 1969, Jean-Marie Souriau introduced a “Lie Groups Thermodynamics” in Statistical Mechanics in the framework of Geometric Mechanics. This Souriau’s model considers the statistical mechanics of dynamic systems in their “space of evolution” associated to
Frédéric Barbaresco
doaj   +2 more sources

Homogeneous spaces of unsolvable Lie groups that do not admit equiaffine connections of nonzero curvature [PDF]

open access: yesИзвестия Саратовского университета. Новая серия. Серия Математика. Механика. Информатика, 2023
An important subclass among homogeneous spaces is formed by isotropically-faithful homogeneous spaces, in particular, this subclass contains all homogeneous spaces admitting invariant affine connection.
Mozhey, Natalya Pavlovna
doaj   +1 more source

Advances in the Theory of Compact Groups and Pro-Lie Groups in the Last Quarter Century

open access: yesAxioms, 2021
This article surveys the development of the theory of compact groups and pro-Lie groups, contextualizing the major achievements over 125 years and focusing on some progress in the last quarter century.
Karl H. Hofmann, Sidney A. Morris
doaj   +1 more source

Dirac Lie groups [PDF]

open access: yesAsian Journal of Mathematics, 2014
46 ...
Li-Bland, David, Meinrenken, Eckhard
openaire   +4 more sources

Home - About - Disclaimer - Privacy