Zobrazeno 1 - 10
of 3 524
pro vyhledávání: '"Chierchia A"'
Autor:
Chierchia, Remi, Lebrat, Leo, Ahmedt-Aristizabal, David, Salvado, Olivier, Fookes, Clinton, Cruz, Rodrigo Santa
Managing chronic wounds is a global challenge that can be alleviated by the adoption of automatic systems for clinical wound assessment from consumer-grade videos. While 2D image analysis approaches are insufficient for handling the 3D features of wo
Externí odkaz:
http://arxiv.org/abs/2407.19652
A persistent challenge in the field of Intelligent Transportation Systems is to extract accurate traffic insights from geographic regions with scarce or no data coverage. To this end, we propose solutions for speed prediction using sparse GPS data po
Externí odkaz:
http://arxiv.org/abs/2402.07507
Autor:
Argentieri, Fernando, Chierchia, Luigi
In this short note, we discuss the topology of Diophantine numbers, giving simple explicit examples of Diophantine isolated numbers (among those with same Diophantine constatnts), showing that, Diophantine sets are not always Cantor sets. General pro
Externí odkaz:
http://arxiv.org/abs/2402.00173
We review Kolmogorov's 1954 fundamental paper {\sl On the Conservation of Conditionally Periodic Motions under Small Perturbation of the Hamiltonian} (Dokl. akad. nauk SSSR,1954, vol. {\bf 98}, pp.527--530), both from the historical and the mathemati
Externí odkaz:
http://arxiv.org/abs/2402.00178
Autor:
Lebrat, Léo, Cruz, Rodrigo Santa, Chierchia, Remi, Arzhaeva, Yulia, Armin, Mohammad Ali, Goldsmith, Joshua, Oorloff, Jeremy, Reddy, Prithvi, Nguyen, Chuong, Petersson, Lars, Barakat-Johnson, Michelle, Luscombe, Georgina, Fookes, Clinton, Salvado, Olivier, Ahmedt-Aristizabal, David
Wound management poses a significant challenge, particularly for bedridden patients and the elderly. Accurate diagnostic and healing monitoring can significantly benefit from modern image analysis, providing accurate and precise measurements of wound
Externí odkaz:
http://arxiv.org/abs/2311.15836
Autor:
Carneiro, Sarah Almeida, Chierchia, Giovanni, Charléty, Jean, Chataignon, Aurélie, Najman, Laurent
Publikováno v:
International Conference on Models and Technologies for Intelligent Transportation Systems, Jun 2023, Nice, France. pp.1-6
Although traffic is one of the massively collected data, it is often only available for specific regions. One concern is that, although there are studies that give good results for these data, the data from these regions may not be sufficiently repre
Externí odkaz:
http://arxiv.org/abs/2310.02282
Autor:
Biasco, Luca, Chierchia, Luigi
The question of the total measure of invariant tori in analytic, nearly--integrable Hamiltonian systems is considered. In 1985, Arnol'd, Kozlov and Neishtadt, in the Encyclopaedia of Mathematical Sciences \cite{AKN1}, and in subsequent editions, conj
Externí odkaz:
http://arxiv.org/abs/2309.17041
Continual Learning has been challenging, especially when dealing with unsupervised scenarios such as Unsupervised Online General Continual Learning (UOGCL), where the learning agent has no prior knowledge of class boundaries or task change informatio
Externí odkaz:
http://arxiv.org/abs/2309.06896
Autor:
Michel, Nicolas, Chierchia, Giovanni, Negrel, Romain, Bercher, Jean-François, Yamasaki, Toshihiko
Deep neural networks have shown remarkable performance when trained on independent and identically distributed data from a fixed set of classes. However, in real-world scenarios, it can be desirable to train models on a continuous stream of data wher
Externí odkaz:
http://arxiv.org/abs/2309.00462
Autor:
Biasco, Luca, Chierchia, Luigi
We introduce a new class $\mathbb{G}^n_s$ of generic real analytic potentials on $\mathbb{T}^n$ and study global analytic properties of natural nearly-integrable Hamiltonians $\frac12 |y|^2+\varepsilon f(x)$, with potential $f\in \mathbb{G}^n_s$, on
Externí odkaz:
http://arxiv.org/abs/2306.13527