Zobrazeno 1 - 10
of 2 644
pro vyhledávání: '"ORTEGA, JUAN"'
Vehicles are sophisticated machines equipped with sensors that provide real-time data for onboard driving assistance systems. Due to the wide variety of traffic, road, and weather conditions, continuous system enhancements are essential. Connectivity
Externí odkaz:
http://arxiv.org/abs/2410.21934
Several topological and analytical notions of continuity and fading memory for causal and time-invariant filters are introduced, and the relations between them are analysed. A significant generalization of the convolution theorem that establishes the
Externí odkaz:
http://arxiv.org/abs/2408.07386
An iterated multistep forecasting scheme based on recurrent neural networks (RNN) is proposed for the time series generated by causal chains with infinite memory. This forecasting strategy contains, as a particular case, the iterative prediction stra
Externí odkaz:
http://arxiv.org/abs/2405.02536
A probabilistic framework to study the dependence structure induced by deterministic discrete-time state-space systems between input and output processes is introduced. General sufficient conditions are formulated under which output processes exist a
Externí odkaz:
http://arxiv.org/abs/2404.08717
Autor:
Grigoryeva, Lyudmila, Hamzi, Boumediene, Kemeth, Felix P., Kevrekidis, Yannis, Manjunath, G, Ortega, Juan-Pablo, Steynberg, Matthys J.
Using short histories of observations from a dynamical system, a workflow for the post-training initialization of reservoir computing systems is described. This strategy is called cold-starting, and it is based on a map called the starting map, which
Externí odkaz:
http://arxiv.org/abs/2403.10325
A structure-preserving kernel ridge regression method is presented that allows the recovery of potentially high-dimensional and nonlinear Hamiltonian functions out of datasets made of noisy observations of Hamiltonian vector fields. The method propos
Externí odkaz:
http://arxiv.org/abs/2403.10070
Publikováno v:
Foro Internacional, 2024 Jul 01. 643 (257), 573-610.
Externí odkaz:
https://www.jstor.org/stable/27333532
Autor:
Alonso, Pablo, de Gordoa, Jon Ander Iñiguez, Ortega, Juan Diego, García, Sara, Iriarte, Francisco Javier, Nieto, Marcos
Publikováno v:
Proc. SPIE 12701, Fifteenth International Conference on Machine Vision (ICMV 2022), 1270118
Runway and taxiway pavements are exposed to high stress during their projected lifetime, which inevitably leads to a decrease in their condition over time. To make sure airport pavement condition ensure uninterrupted and resilient operations, it is o
Externí odkaz:
http://arxiv.org/abs/2401.06019