Zobrazeno 1 - 10
of 3 067
pro vyhledávání: '"P. Serres"'
Autor:
Zhang, Xue, Sang, Yu, Hoerning, Gabriel A., Abdalla, Filipe B., Abdalla, Elcio, Queiroz, Amilcar, Costa, Andre A., Landim, Ricardo G., Feng, Chang, Wang, Bin, Santos, Marcelo V. dos, Villela, Thyrso, Wuensche, Carlos A., Zhang, Jiajun, Gurjao, Edmar, Marins, Alessandro, Serres, Alexandre, Xiao, Linfeng
There are hosts of surveys that will provide excellent data to search for and locate Fast Radio Bursts (FRBs) at cosmological distances. The BINGO project is one such surveys, and this collaboration has already estimated a FRB detection rate that the
Externí odkaz:
http://arxiv.org/abs/2411.17516
Autor:
Serres, Jordan
We use a variational formulation to define a generalized notion of perimeter, from which we derive abstract isoperimetric Cheeger's inequalities via gradient estimates on solutions of Poisson equations. Our abstract framework unifies many existing re
Externí odkaz:
http://arxiv.org/abs/2411.05437
Autor:
Serres, Jordan
We adapt Stein's method to isoperimetric and geometric inequalities. The main challenge is the treatment of boundary terms. We address this by using an elliptic PDE with an oblique boundary condition. We apply our geometric formulation of Stein's met
Externí odkaz:
http://arxiv.org/abs/2410.20844
Current large open vision models could be useful for one and few-shot object recognition. Nevertheless, gradient-based re-training solutions are costly. On the other hand, open-vocabulary object detection models bring closer visual and textual concep
Externí odkaz:
http://arxiv.org/abs/2410.16028
Autor:
Yeung, Kylie, Gleeson, Fergus V, Schulte, Rolf F, McIntyre, Anthony, Serres, Sebastien, Morris, Peter, Auer, Dorothee, Tyler, Damian J, Grist, James T, Wiesinger, Florian
Purpose: To present a novel generalized MR image reconstruction based on pseudoinversion of the encoding matrix (Pinv-Recon) as a simple yet powerful method, and demonstrate its computational feasibility for diverse MR imaging applications. Methods:
Externí odkaz:
http://arxiv.org/abs/2410.06129
We generalize Gr\"unbaum's classical inequality in convex geometry to curved spaces with nonnegative Ricci curvature, precisely, to $\mathrm{RCD}(0,N)$-spaces with $N \in (1,\infty)$ as well as weighted Riemannian manifolds of $\mathrm{Ric}_N \ge 0$
Externí odkaz:
http://arxiv.org/abs/2408.15030
Current artificial neural networks are trained with parameters encoded as floating point numbers that occupy lots of memory space at inference time. Due to the increase in the size of deep learning models, it is becoming very difficult to consider tr
Externí odkaz:
http://arxiv.org/abs/2408.04460
Publikováno v:
IEEE Control Systems Letters, 2024, \&\#x27E8;10.1109/LCSYS.2024.3407603\&\#x27E9
We establish a separation principle for the output feedback stabilisation of state-affine systems that are observable at the stabilization target. Relying on control templates (recently introduced in [4]), that allow to approximate a feedback control
Externí odkaz:
http://arxiv.org/abs/2403.01869
Recently, the concept of k-contraction has been introduced as a promising generalization of contraction for dynamical systems. However, the study of k-contraction properties has faced significant challenges due to the reliance on complex mathematical
Externí odkaz:
http://arxiv.org/abs/2311.18388
Publikováno v:
BMC Research Notes, Vol 17, Iss 1, Pp 1-8 (2024)
Abstract Objectives Recent advances in bio-inspired navigation have sparked interest in the phenomenon of skylight polarization. This interest stems from the potential of skylight-based orientation sensors, which performance can be simulated using ph
Externí odkaz:
https://doaj.org/article/42a491158eac4912a4b2900410be7d7f
