Zobrazeno 1 - 10
of 1 552
pro vyhledávání: '"SKINNER, JOHN"'
Autor:
Ali, Asad, Ahmed, Iftikhar, Shearman, Alex, McCulloch, Robert, Carrington, Richard, Skinner, John
Publikováno v:
In The Journal of Arthroplasty July 2024 39(7):1811-1819
Autor:
Gao, Li1 (AUTHOR) lgao2@jhmi.edu, Skinner, John2 (AUTHOR), Nath, Tanmay3 (AUTHOR), Lin, Qing2 (AUTHOR), Griffiths, Megan4 (AUTHOR), Damico, Rachel L.5 (AUTHOR), Pauciulo, Michael W.6,7 (AUTHOR), Nichols, William C.6,7 (AUTHOR), Hassoun, Paul M.5 (AUTHOR), Everett, Allen D.8 (AUTHOR), Johns, Roger A.2,5 (AUTHOR) rajohns@jhmi.edu
Publikováno v:
Respiratory Research. 6/6/2024, Vol. 25, p1-11. 11p.
The computer vision and robotics research communities are each strong. However progress in computer vision has become turbo-charged in recent years due to big data, GPU computing, novel learning algorithms and a very effective research methodology. B
Externí odkaz:
http://arxiv.org/abs/2001.02366
We introduce a new challenge for computer and robotic vision, the first ACRV Robotic Vision Challenge, Probabilistic Object Detection. Probabilistic object detection is a new variation on traditional object detection tasks, requiring estimates of spa
Externí odkaz:
http://arxiv.org/abs/1903.07840
Autor:
Skinner, John
Publikováno v:
Revista Alicantina de Estudios Ingleses, Iss 16, p 255 (2003)
Shashi Tharoor is remarkable for a sequence of three fictions which subvert a number of paradigms commonly linked with postcolonial writing or the New Literatures in English, even as they transcend the boundaries of the classic realist novel. His fir
Externí odkaz:
https://doaj.org/article/09ea4839b9e346b8aa874078bdaa97e1
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Hall, David, Dayoub, Feras, Skinner, John, Zhang, Haoyang, Miller, Dimity, Corke, Peter, Carneiro, Gustavo, Angelova, Anelia, Sünderhauf, Niko
We introduce Probabilistic Object Detection, the task of detecting objects in images and accurately quantifying the spatial and semantic uncertainties of the detections. Given the lack of methods capable of assessing such probabilistic object detecti
Externí odkaz:
http://arxiv.org/abs/1811.10800
Autor:
Won, Taejoon, Wood, Megan K., Hughes, David M., Talor, Monica V., Ma, Zexu, Schneider, Jowaly, Skinner, John T., Asady, Beejan, Goerlich, Erin, Halushka, Marc K., Hays, Allison G., Kim, Deok-Ho, Parikh, Chirag R., Rosenberg, Avi Z., Coppens, Isabelle, Johns, Roger A., Gilotra, Nisha A., Hooper, Jody E., Pekosz, Andrew, Čiháková, Daniela
Publikováno v:
In eBioMedicine January 2022 75