Results 201 to 210 of about 373,220 (224)

A Complex Structure for Two-Typed Tangent Spaces. [PDF]

Entropy (Basel)
Naudts J.
europepmc   +1 more source

A Capsule Decision Neural Network Based on Transfer Learning for EEG Signal Classification. [PDF]

Biomimetics (Basel)
Zhang W, Tang X, Dang X, Wang M.
europepmc   +1 more source

Predicting Cardiopulmonary Exercise Testing Outcomes in Congenital Heart Disease Through Multi-modal Data Integration and Geometric Learning

Alkan M, Veldtman G, Deligianni F.
europepmc   +1 more source

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Generalized Learning Riemannian Space Quantization: A Case Study on Riemannian Manifold of SPD Matrices

IEEE Transactions on Neural Networks and Learning Systems, 2020
Learning vector quantization (LVQ) is a simple and efficient classification method, enjoying great popularity. However, in many classification scenarios, such as electroencephalogram (EEG) classification, the input features are represented by symmetric ...
Fengzhen Tang, Meng Fan, P. Tiňo
semanticscholar   +1 more source

Riemannian Manifold

Computer Vision, 2020
Definition 4 (Riemannian Metric and Riemannian Manifold) [37] Let M be a manifold, C∞(M) be the comminicative ring of smooth functions onM, and C∞(TM) be the set of smooth vector fields onM forming a module over C∞(M).
Tong Lin, H. Zha
semanticscholar   +1 more source

Electromagnetic curves of the linearly polarized light wave along an optical fiber in a 3D semi-Riemannian manifold

Journal of Modern Optics, 2019
We review the geometric evolution of a linearly polarized light wave coupling into an optical fiber and the rotation of the polarization plane in the three dimensional semi-Riemannian manifold.
T. Korpinar, R. Demi̇rkol
semanticscholar   +1 more source

Flowing on Riemannian Manifold: Domain Adaptation by Shifting Covariance

IEEE Transactions on Cybernetics, 2014
Domain adaptation has shown promising results in computer vision applications. In this paper, we propose a new unsupervised domain adaptation method called domain adaptation by shifting covariance (DASC) for object recognition without requiring any ...
Zhen Cui, Wen Li, Dong Xu, S. Shan, Xilin Chen, Xuelong Li   +5 more
semanticscholar   +1 more source

On the Stochastic Strichartz Estimates and the Stochastic Nonlinear Schrödinger Equation on a Compact Riemannian Manifold

Potential Analysis, 2012
We prove the existence and the uniqueness of a solution to the stochastic NSLEs on a two-dimensional compact riemannian manifold. Thus we generalize (and improve) a recent work by Burq et al.
Z. Brzeźniak, A. Millet
semanticscholar   +1 more source