Zobrazeno 1 - 10
of 55 707
pro vyhledávání: '"A, Lundström"'
Autor:
Mier-Cruz, Benjamin1 (AUTHOR)
Publikováno v:
Scandinavian Studies. 2024, Vol. 96 Issue 1, p132-136. 5p.
Autor:
Linnea Jensdotter
Publikováno v:
Svensk Teologisk Kvartalskrift, Vol 99, Iss 1 (2023)
N/A
Externí odkaz:
https://doaj.org/article/9f382f266a254a47a72f4774d63ff05a
Autor:
Gómez-Correa, Jesús E., Vohnsen, Brian, Pierścionek, Barbara K., Chávez-Cerda, Sabino, Kling, Sabine, Rozema, Jos J., Applegate, Raymond A., Scarcelli, Giuliano, Randleman, J. Bradley, Goncharov, Alexander V., Fitzpatrick, Amy, Morgan, Jessica I. W., Roorda, Austin, Atchison, David A., Trevino, Juan P., Consejo, Alejandra, Börjeson, Charlie, Lundström, Linda, Bang, Seung Pil, Yoon, Geunyoung, Karnowski, Karol, Kaluzny, Bartlomiej J., Grulkowski, Ireneusz, Barbero, Sergio, Artal, Pablo, Tabernero, Juan, Kollbaum, Pete, Thébault, Stéphanie C.
The field of visual and physiological optics is undergoing continuous significant advancements, driven by a deeper understanding of the human visual system and the development of cutting-edge optical technologies. This Roadmap, authored by leading ex
Externí odkaz:
http://arxiv.org/abs/2411.14606
In this paper, we present a telegraph diffusion model with variable exponents for image despeckling. Moving beyond the traditional assumption of a constant exponent in the telegraph diffusion framework, we explore three distinct variable exponents fo
Externí odkaz:
http://arxiv.org/abs/2411.08175
Given a set $A$ and an abelian group $B$ with operators in $A$, in the sense of Krull and Noether, we introduce the Ore group extension $B[x ; \delta_B , \sigma_B]$ as the additive group $B[x]$, with $A[x]$ as a set of operators. Here, the action of
Externí odkaz:
http://arxiv.org/abs/2410.16761
Autor:
Liang, Guojun, Abiri, Najmeh, Hashemi, Atiye Sadat, Lundström, Jens, Byttner, Stefan, Tiwari, Prayag
Accurate imputation is essential for the reliability and success of downstream tasks. Recently, diffusion models have attracted great attention in this field. However, these models neglect the latent distribution in a lower-dimensional space derived
Externí odkaz:
http://arxiv.org/abs/2409.08917
Autor:
Julia Kuhlin
Publikováno v:
Svensk Teologisk Kvartalskrift, Vol 98, Iss 3 (2022)
N/A
Externí odkaz:
https://doaj.org/article/43879f83fdf94ea3822f33dd7834b03d
Publikováno v:
Microbial Ecology, 2011 Aug 01. 62(2), 399-413.
Externí odkaz:
https://www.jstor.org/stable/41489159
Autor:
Taber, Stephen W.1
Publikováno v:
Southwestern Entomologist. Jun2018, Vol. 43 Issue 2, p395-400. 6p.
Multiple-instance learning (MIL) is an attractive approach for digital pathology applications as it reduces the costs related to data collection and labelling. However, it is not clear how sensitive MIL is to clinically realistic domain shifts, i.e.,
Externí odkaz:
http://arxiv.org/abs/2405.09934