Zobrazeno 1 - 10
of 5 511
pro vyhledávání: '"Berton P"'
Autor:
Bontà, E. Dalla, Peterson, B. M., Grier, C. J., Berton, M., Brandt, W. N., Ciroi, S., Corsini, E. M., Barba, B. Dalla, Davies, R., Dehghanian, M., Edelson, R., Foschini, L., Gasparri, D., Ho, L. C., Horne, K., Iodice, E., Morelli, L., Pizzella, A., Portaluri, E., Shen, Y., Schneider, D. P., Vestergaard, M.
The goal of this project is to construct an estimator for the masses of supermassive black holes in active galactic nuclei (AGNs) based on the broad Halpha emission line. We make use of published reverberation mapping data. We remeasure all Halpha ti
Externí odkaz:
http://arxiv.org/abs/2410.21387
Autor:
Zuheng, Xu, Jain, Moksh, Denton, Ali, Whitfield, Shawn, Didolkar, Aniket, Earnshaw, Berton, Hartford, Jason
Pairwise interactions between perturbations to a system can provide evidence for the causal dependencies of the underlying underlying mechanisms of a system. When observations are low dimensional, hand crafted measurements, detecting interactions amo
Externí odkaz:
http://arxiv.org/abs/2409.07594
Autor:
Queiroz, Dilermando, Carlos, Anderson, Fatoretto, Maíra, Nakayama, Luis Filipe, Anjos, André, Berton, Lilian
Foundation models have emerged as robust models with label efficiency in diverse domains. In medical imaging, these models contribute to the advancement of medical diagnoses due to the difficulty in obtaining labeled data. However, it is unclear whet
Externí odkaz:
http://arxiv.org/abs/2408.16154
Ensuring consistent performance across diverse populations and incorporating fairness into machine learning models are crucial for advancing medical image diagnostics and promoting equitable healthcare. However, many databases do not provide protecte
Externí odkaz:
http://arxiv.org/abs/2408.16130
Autor:
Berton, Gabriele, Junglas, Lorenz, Zaccone, Riccardo, Pollok, Thomas, Caputo, Barbara, Masone, Carlo
Mesh-based scene representation offers a promising direction for simplifying large-scale hierarchical visual localization pipelines, combining a visual place recognition step based on global features (retrieval) and a visual localization step based o
Externí odkaz:
http://arxiv.org/abs/2406.02776
Autor:
Wevers, T., French, K. D., Zabludoff, A. I., Fischer, T., Rowlands, K., Guolo, M., Barba, B. Dalla, Arcodia, R., Berton, M., Bian, F., Linial, I., Miniutti, G., Pasham, D. R.
In the past five years, six quasi-periodic X-ray eruption (QPE) sources have been discovered in the nuclei of nearby galaxies. Their origin remains an open question. We present MUSE integral field spectroscopy of five QPE host galaxies to characteriz
Externí odkaz:
http://arxiv.org/abs/2406.02678
Autor:
Barbarani, Giovanni, Vaccarino, Francesco, Trivigno, Gabriele, Guerra, Marco, Berton, Gabriele, Masone, Carlo
In computer vision, keypoint detection is a fundamental task, with applications spanning from robotics to image retrieval; however, existing learning-based methods suffer from scale dependency and lack flexibility. This paper introduces a novel appro
Externí odkaz:
http://arxiv.org/abs/2406.01315
Autor:
Vietri, A., Berton, M., Järvelä, E., Kunert-Bajraszewska, M., Ciroi, S., Varglund, I., Barba, B. Dalla, Sani, E., Crepaldi, L.
Publikováno v:
A&A 689, A123 (2024)
The term 'active galactic nuclei' (AGN) subtends a huge variety of objects, classified on their properties at different wavelengths. Peaked sources (PS) represent a class of AGN at the first stage of evolution, characterised by a peaked radio spectru
Externí odkaz:
http://arxiv.org/abs/2405.17552
Autor:
Berton, Gabriele, Goletto, Gabriele, Trivigno, Gabriele, Stoken, Alex, Caputo, Barbara, Masone, Carlo
Precise, pixel-wise geolocalization of astronaut photography is critical to unlocking the potential of this unique type of remotely sensed Earth data, particularly for its use in disaster management and climate change research. Recent works have esta
Externí odkaz:
http://arxiv.org/abs/2405.05422
Autor:
Dutto, Mattia, Berton, Gabriele, Caldarola, Debora, Fanì, Eros, Trivigno, Gabriele, Masone, Carlo
Visual Place Recognition (VPR) aims to estimate the location of an image by treating it as a retrieval problem. VPR uses a database of geo-tagged images and leverages deep neural networks to extract a global representation, called descriptor, from ea
Externí odkaz:
http://arxiv.org/abs/2404.13324