Zobrazeno 1 - 10
of 3 820
pro vyhledávání: '"tangent space"'
Autor:
Polyakova K. V.
Publikováno v:
Дифференциальная геометрия многообразий фигур, Vol 55, Iss 2, Pp 78-95 (2024)
The paper is devoted to affine connection in the frame bundle associated with a manifold which structure equations and derivation formulas are constructed using deformations of the exterior and ordinary differentials. Curvature and torsion object
Externí odkaz:
https://doaj.org/article/47ab93838e20472eaff50158c5c80a3e
Publikováno v:
Biomimetics, Vol 9, Iss 8, p 459 (2024)
Individuals grappling with severe central nervous system injuries often face significant challenges related to sensorimotor function and communication abilities. In response, brain–computer interface (BCI) technology has emerged as a promising solu
Externí odkaz:
https://doaj.org/article/257fa0a2ec3f4994b7af8c10d81865e0
Publikováno v:
Mathematics, Vol 12, Iss 14, p 2164 (2024)
This study introduces a novel method for classifying sets of images, called Riemannian geodesic discriminant analysis–minimum Riemannian mean distance (RGDA-MRMD). This method first converts image data into symmetric positive definite (SPD) matrice
Externí odkaz:
https://doaj.org/article/5f289990309a4354887dcd9ba60f5e23
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 7, Pp 12454-12471 (2023)
Motor imagery (MI) is a traditional paradigm of brain-computer interface (BCI) and can assist users in creating direct connections between their brains and external equipment. The common spatial patterns algorithm is the most popular spatial filterin
Externí odkaz:
https://doaj.org/article/be0574073a9e4ee98f98a1eb46936629
Publikováno v:
Complex & Intelligent Systems, Vol 9, Iss 6, Pp 6255-6268 (2023)
Abstract Linear local tangent space alignment (LLTSA) is a classical dimensionality reduction method based on manifold. However, LLTSA and all its variants only consider the one-way mapping from high-dimensional space to low-dimensional space. The pr
Externí odkaz:
https://doaj.org/article/eb78fd6de01e4001ab56a34ddd277341
Publikováno v:
Analysis and Geometry in Metric Spaces, Vol 11, Iss 1, Pp 1029-1039 (2023)
This article analyses two schemes: Mann-type and viscosity-type proximal point algorithms. Using these schemes, we establish Δ-convergence and strong convergence theorems for finding a common solution of monotone vector field inclusion problems, a m
Externí odkaz:
https://doaj.org/article/626345340e9948179ccb98ffcc557db3
Autor:
K. V. Polyakova
Publikováno v:
Дифференциальная геометрия многообразий фигур, Vol 54, Iss 2, Pp 29-44 (2023)
This paper relates to differential geometry, and the research technique is based on G. F. Laptev’s method of extensions and envelopments, which generalizes E. Cartan's method of moving frame and exterior forms. A manifold is studied, the structu
Externí odkaz:
https://doaj.org/article/b718433ad0a44a47bc7b4559ed960c1b
Publikováno v:
IEEE Access, Vol 11, Pp 139457-139465 (2023)
Several motor imagery classification methods have been developed and achieve higher accuracy. Machine learning (ML) based algorithms utilizing manually designed features often encounter robustness issues, leading to diminished accuracy. While deep le
Externí odkaz:
https://doaj.org/article/b5aea993e0cd44db99f8ebdc75c91411
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 31, Pp 936-943 (2023)
For solving the problem of the inevitable decline in the accuracy of cross-subject emotion recognition via Electroencephalograph (EEG) signal transfer learning due to the negative transfer of data in the source domain, this paper offers a new method
Externí odkaz:
https://doaj.org/article/d104f5438938402e8a70bbb4ad91dbf6