Zobrazeno 1 - 10
of 8 377
pro vyhledávání: '"TONIN, A."'
Autor:
Rahman, Muhammad Rameez ur, Simonetto, Piero, Polato, Anna, Pasti, Francesco, Tonin, Luca, Vascon, Sebastiano
Open vocabulary 3D object detection (OV3D) allows precise and extensible object recognition crucial for adapting to diverse environments encountered in assistive robotics. This paper presents OpenNav, a zero-shot 3D object detection pipeline based on
Externí odkaz:
http://arxiv.org/abs/2408.13936
Affective polarization and increasing social divisions affect social mixing and the spread of information across online and physical spaces, reinforcing social and electoral cleavages and influencing political outcomes. Here, using aggregated and de-
Externí odkaz:
http://arxiv.org/abs/2407.12146
Autor:
Tao, Qinghua, Tonin, Francesco, Lambert, Alex, Chen, Yingyi, Patrinos, Panagiotis, Suykens, Johan A. K.
Publikováno v:
the 41st International Conference on Machine Learning (ICML), 2024
In contrast with Mercer kernel-based approaches as used e.g., in Kernel Principal Component Analysis (KPCA), it was previously shown that Singular Value Decomposition (SVD) inherently relates to asymmetric kernels and Asymmetric Kernel Singular Value
Externí odkaz:
http://arxiv.org/abs/2406.08748
Clustering nodes in heterophilous graphs presents unique challenges due to the asymmetric relationships often overlooked by traditional methods, which moreover assume that good clustering corresponds to high intra-cluster and low inter-cluster connec
Externí odkaz:
http://arxiv.org/abs/2405.17050
In today's interconnected world of widespread mobility, ubiquitous social interaction, and rapid information dissemination, the demand for individuals to swiftly adapt their behaviors has increased dramatically. Timely decision-making faces new chall
Externí odkaz:
http://arxiv.org/abs/2403.10276
While the great capability of Transformers significantly boosts prediction accuracy, it could also yield overconfident predictions and require calibrated uncertainty estimation, which can be commonly tackled by Gaussian processes (GPs). Existing work
Externí odkaz:
http://arxiv.org/abs/2402.01476
Autor:
Daniel J.C. Vieira, Luzianna M. Fonseca, Guilherme Poletti, Natalia P. Martins, Nathália T.S. Grigoletto, Rodrigo G. Chesini, Fernando G. Tonin, Cristina S. Cortinhas, Tiago S. Acedo, Ignácio Artavia, Johannes Faas, Caio S. Takiya, Carlos H. Corassin, Francisco P. Rennó
Publikováno v:
Journal of Dairy Science, Vol 107, Iss 10, Pp 7891-7903 (2024)
ABSTRACT: The aim of this study was to evaluate the effects of different anti-mycotoxin feed additives on the concentration of mycotoxins in milk, urine, and blood plasma of dairy cows fed diets artificially contaminated with mycotoxins. Secondarily,
Externí odkaz:
https://doaj.org/article/77326cd2a2994f5fb176bd807f270391
Autor:
Chiara Di Santo, Antonio Siniscalchi, Daniele La Russa, Paolo Tonin, Giacinto Bagetta, Diana Amantea
Publikováno v:
Current Issues in Molecular Biology, Vol 46, Iss 9, Pp 9970-9983 (2024)
Ischemic preconditioning (PC) induced by a sub-lethal cerebral insult triggers brain tolerance against a subsequent severe injury through diverse mechanisms, including the modulation of the immune system. Tumor necrosis factor (TNF)-α-stimulated gen
Externí odkaz:
https://doaj.org/article/8f1269f752524377951224563a44d507
Asymmetric data naturally exist in real life, such as directed graphs. Different from the common kernel methods requiring Mercer kernels, this paper tackles the asymmetric kernel-based learning problem. We describe a nonlinear extension of the matrix
Externí odkaz:
http://arxiv.org/abs/2306.07040
In the context of deep learning with kernel machines, the deep Restricted Kernel Machine (DRKM) framework allows multiple levels of kernel PCA (KPCA) and Least-Squares Support Vector Machines (LSSVM) to be combined into a deep architecture using visi
Externí odkaz:
http://arxiv.org/abs/2306.07015