Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Yongkweon Jeon"'
Publikováno v:
IEEE Access, Vol 5, Pp 5594-5608 (2017)
In various disciplines, hierarchical clustering (HC) has been an effective tool for data analysis due to its ability to summarize hierarchical structures of data in an intuitive and interpretable manner. A run of HC requires multiple iterations, each
Externí odkaz:
https://doaj.org/article/fb7082de193941698166267af6dddae9
Publikováno v:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc58bc0c4e1e110a2d4fce55e6b77e26
https://doi.org/10.1109/cvpr52688.2022.01201
https://doi.org/10.1109/cvpr52688.2022.01201
Autor:
Yoonjung Choi, Sangha Kim, Dongsoo Lee, Se Jung Kwon, Yongkweon Jeon, Baeseong Park, Byeongwook Kim, Insoo Chung
Publikováno v:
EMNLP (Findings)
The deployment of widely used Transformer architecture is challenging because of heavy computation load and memory overhead during inference, especially when the target device is limited in computational resources such as mobile or edge devices. Quan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5decabf20a8559fe9e6dc978ba9a5e54
http://arxiv.org/abs/2009.07453
http://arxiv.org/abs/2009.07453
Publikováno v:
SC
The number of parameters in deep neural networks (DNNs) is rapidly increasing to support complicated tasks and to improve model accuracy. Correspondingly, the amount of computations and required memory footprint increase as well. Quantization is an e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5204b5732f1bd29ba78ba8badf184579
Publikováno v:
BDCAT
Detecting major system anomalies with observed multivariate time series requires not only the characteristics of each time series but also the status of the entire time series dynamics. Therefore, we propose a method that can detect substantial anoma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a69d2ad971855f41c03c5bb81ab57a1a
https://doi.org/10.1109/bdcat.2018.00017
https://doi.org/10.1109/bdcat.2018.00017
Autor:
Sungroh Yoon, Yongkweon Jeon
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems. 26:2534-2548
Hierarchical agglomerative clustering (HAC) is a clustering method widely used in various disciplines from astronomy to zoology. HAC is useful for discovering hierarchical structure embedded in input data. The cost of executing HAC on large data is t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d4ee40a540a3cad49055b70e9d778446
https://doi.org/10.1109/tpds.2014.2355205
https://doi.org/10.1109/tpds.2014.2355205
Publikováno v:
IEEE Transactions on Biomedical Engineering. 60:240-244
Images captured using computed tomography and magnetic resonance angiography are used in the examination of the abdominal aorta and its branches. The examination of all clinically relevant branches simultaneously in a single 2-D image without any mis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4f40a8eec2291ca855edd950d529f79e
https://doi.org/10.1109/tbme.2012.2214386
https://doi.org/10.1109/tbme.2012.2214386
Autor:
Geoffrey D. Rubin, Yongkweon Jeon, Joong-Ho Won, Jarrett Rosenberg, Sandy Napel, Sungroh Yoon
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics. 19:81-93
Direct projection of three-dimensional branching structures, such as networks of cables, blood vessels, or neurons onto a 2D image creates the illusion of intersecting structural parts and creates challenges for understanding and communication. We pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::84413aa30edd1b919d270fcae85436a2
https://doi.org/10.1109/tvcg.2012.25
https://doi.org/10.1109/tvcg.2012.25
Publikováno v:
IEEE Access, Vol 5, Pp 5594-5608 (2017)
In various disciplines, hierarchical clustering (HC) has been an effective tool for data analysis due to its ability to summarize hierarchical structures of data in an intuitive and interpretable manner. A run of HC requires multiple iterations, each
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2c93e60872af8d0414b8f4bcec938550
https://doi.org/10.1109/access.2017.2690987
https://doi.org/10.1109/access.2017.2690987
Autor:
Yongkweon Jeon1, Eesuk Jung2, Hyeyoung Min3, Eui-Young Chung2, Sungroh Yoon1,4 sryoon@snu.ac.kr
Publikováno v:
Computers in Biology & Medicine. 2013, Vol. 43 Issue 8, p1011-1022. 12p.