Zobrazeno 1 - 10
of 3 369
pro vyhledávání: '"Spencer, L. A."'
A novel combination of physics-based and data-driven post-processing techniques is proposed to extract acoustic-related shear-layer perturbation responses directly from spatio-temporally resolved schlieren video. The physics-based component is derive
Externí odkaz:
http://arxiv.org/abs/2407.05438
Product of experts (PoE) are layered networks in which the value at each node is an AND (or product) of the values (possibly negated) at its inputs. These were introduced as a neural network architecture that can efficiently learn to generate high-di
Externí odkaz:
http://arxiv.org/abs/2310.09397
We consider the problem of identifying, from statistics, a distribution of discrete random variables $X_1,\ldots,X_n$ that is a mixture of $k$ product distributions. The best previous sample complexity for $n \in O(k)$ was $(1/\zeta)^{O(k^2 \log k)}$
Externí odkaz:
http://arxiv.org/abs/2309.13993
Autor:
Stahl, Spencer L., Gaitonde, Datta V.
A data-driven framework using snapshots of an uncontrolled flow is proposed to identify, and subsequently demonstrate, effective control strategies for different objectives in supersonic impinging jets. The approach, based on a dynamic mode decomposi
Externí odkaz:
http://arxiv.org/abs/2309.01878
Quantitative PET attenuation correction (AC) for combined cardiac PET/MR is a challenging problem. We propose and evaluate an AC approach that uses coincidences from a relatively weak and physically fixed sparse external source, in combination with t
Externí odkaz:
http://arxiv.org/abs/2212.14478
Publikováno v:
Pharmacology Research & Perspectives, Vol 12, Iss 4, Pp n/a-n/a (2024)
Externí odkaz:
https://doaj.org/article/1f55559bc7a645d3a1fd3dce4739986d
Autor:
Patpong Udompat, Krongkan Srimuang, Pawinee Doungngern, Nattakarn Thippamom, Sininat Petcharat, Khwankamon Rattanatumhi, Sirorat Khiewbanyang, Pantila Taweewigyakarn, Somkid Kripattanapong, Sasiprapa Ninwattana, Ananporn Supataragul, Spencer L. Sterling, Chonticha Klungthong, Khajohn Joonlasak, Wudtichai Manasatienkij, Thomas S. Cotrone, Stefan Fernandez, Supaporn Wacharapluesadee, Opass Putcharoen
Publikováno v:
Virology Journal, Vol 21, Iss 1, Pp 1-12 (2024)
Abstract Background Sentinel laboratory surveillance for diarrheal disease determined norovirus to be the most common cause of non-bacterial gastroenteritis in people during the COVID-19 pandemic in Thailand. An increase in patients presenting with d
Externí odkaz:
https://doaj.org/article/27c2baa2a4234de2ad466470302d76ea
Publikováno v:
Proceedings of Machine Learning Research vol 213:1-27, 2023
A Bayesian Network is a directed acyclic graph (DAG) on a set of $n$ random variables (the vertices); a Bayesian Network Distribution (BND) is a probability distribution on the random variables that is Markovian on the graph. A finite $k$-mixture of
Externí odkaz:
http://arxiv.org/abs/2112.11602
Autor:
Anne Danckaert, Aurélie Trignol, Guillaume Le Loher, Sébastien Loubens, Bart Staels, Hélène Duez, Spencer L. Shorte, Alicia Mayeuf-Louchart
Publikováno v:
Skeletal Muscle, Vol 13, Iss 1, Pp 1-14 (2023)
Abstract Histological analysis of skeletal muscle is of major interest for understanding its behavior in different pathophysiological conditions, such as the response to different environments or myopathies. In this context, many software programs ha
Externí odkaz:
https://doaj.org/article/ef77fbda52b245639756ba005bf8ae55
Autor:
Sankhala, Rajeshwer S., Dussupt, Vincent, Chen, Wei-Hung, Bai, Hongjun, Martinez, Elizabeth J., Jensen, Jaime L., Rees, Phyllis A., Hajduczki, Agnes, Chang, William C., Choe, Misook, Yan, Lianying, Sterling, Spencer L., Swafford, Isabella, Kuklis, Caitlin, Soman, Sandrine, King, Jocelyn, Corbitt, Courtney, Zemil, Michelle, Peterson, Caroline E., Mendez-Rivera, Letzibeth, Townsley, Samantha M., Donofrio, Gina C., Lal, Kerri G., Tran, Ursula, Green, Ethan C., Smith, Clayton, de Val, Natalia, Laing, Eric D., Broder, Christopher C., Currier, Jeffrey R., Gromowski, Gregory D., Wieczorek, Lindsay, Rolland, Morgane, Paquin-Proulx, Dominic, van Dyk, Dewald, Britton, Zachary, Rajan, Saravanan, Loo, Yueh Ming, McTamney, Patrick M., Esser, Mark T., Polonis, Victoria R., Michael, Nelson L., Krebs, Shelly J., Modjarrad, Kayvon, Joyce, M. Gordon
Publikováno v:
In Structure 1 February 2024 32(2):131-147