Zobrazeno 1 - 10
of 1 310
pro vyhledávání: '"P Charon"'
This paper introduces self-supervised neural network models to tackle several fundamental problems in the field of 3D human body analysis and processing. First, we propose VariShaPE (Varifold Shape Parameter Estimator), a novel architecture for the r
Externí odkaz:
http://arxiv.org/abs/2411.03475
We introduce VISTA, a clustering approach for multivariate and irregularly sampled time series based on a parametric state space mixture model. VISTA is specifically designed for the unsupervised identification of groups in datasets originating from
Externí odkaz:
http://arxiv.org/abs/2410.21527
Dynamical formulations of optimal transport (OT) frame the task of comparing distributions as a variational problem which searches for a path between distributions minimizing a kinetic energy functional. In applications, it is frequently natural to r
Externí odkaz:
http://arxiv.org/abs/2402.15860
The solution of a PDE over varying initial/boundary conditions on multiple domains is needed in a wide variety of applications, but it is computationally expensive if the solution is computed de novo whenever the initial/boundary conditions of the do
Externí odkaz:
http://arxiv.org/abs/2402.07250
This paper introduces a new mathematical and numerical framework for surface analysis derived from the general setting of elastic Riemannian metrics on shape spaces. Traditionally, those metrics are defined over the infinite dimensional manifold of i
Externí odkaz:
http://arxiv.org/abs/2311.04382
A self consistent description of angular correlations in neutron induced reactions is required for quantitative analysis of parity violating (PV) and time reversal invariance violating (TRIV) effects in neutron nucleus scattering. The 1.33 eV p-wave
Externí odkaz:
http://arxiv.org/abs/2303.05425
Autor:
Georgios Mikos, Brian Yu, Jessica Balbin, Laisha Martinez-Reyes, Jonathan M. Tang, Brandon Nguyen Lieu, Edward Tran, Athena Xue, Jiwoo Lee, Neil Wary, Camryn Franke, Nicholas Panyanouvong, Melody J. Chaclan, Tony H. Chang, Crystal Chen, Michaela Y. Guo, Kelly Harvell, Rose Horan, Nicole A. Johnson, Audrey Kim, Eric Liu, Linda Liu, Pablo Nuñez-Perez, Madison Quig, Anushka Sanyal, Krishna Sharma, Iris Wang, Kelly Wang, Amy Filsoof, Mina Charon, Tamara Montacute, Baldeep Singh
Publikováno v:
Journal of Primary Care & Community Health, Vol 15 (2024)
Background: Hypertension affects approximately 1 in 2 adults in the US. Home blood pressure (BP) monitoring programs are effective in the diagnosis and management of hypertension. Free clinics serve as an integral safety net for millions of uninsured
Externí odkaz:
https://doaj.org/article/48baa660fb924509867eb4333e35041e
We present Basis Restricted Elastic Shape Analysis (BaRe-ESA), a novel Riemannian framework for human body scan representation, interpolation and extrapolation. BaRe-ESA operates directly on unregistered meshes, i.e., without the need to establish pr
Externí odkaz:
http://arxiv.org/abs/2211.13185
This paper introduces a new framework for non-parallel emotion conversion in speech. Our framework is based on two key contributions. First, we propose a stochastic version of the popular CycleGAN model. Our modified loss function introduces a Kullba
Externí odkaz:
http://arxiv.org/abs/2211.05071
Autor:
Dauchet, Jérémi, Charon, Julien, Brunel, Laurent, Coustet, Christophe, Blanco, Stéphane, Cornet, Jean-François, Hafi, Mouna El, Eymet, Vincent, Forest, Vincent, Fournier, Richard, Gros, Fabrice, Piaud, Benjamin, Vourc'h, Thomas
Relying on Feynman-Kac path-integral methodology, we present a new statistical perspective on wave single-scattering by complex three-dimensional objects. The approach is implemented on three models -- Schiff approximation, Born approximation and rig
Externí odkaz:
http://arxiv.org/abs/2210.16146