Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Jungi Kim"'
Publikováno v:
Sensors, Vol 22, Iss 13, p 4863 (2022)
Walking is an exercise that uses muscles and joints of the human body and is essential for understanding body condition. Analyzing body movements through gait has been studied and applied in human identification, sports science, and medicine. This st
Externí odkaz:
https://doaj.org/article/cc204525c5184ee1a7bbb9d1a516e7f3
Autor:
Min-Sun Jang, Jong-Min Park, Jungi Kim, Changhyo Sun, Bonuk Koo, Hea‐Ran Kim, Young-Tae Kwon, Sangsun Yang, Jung Woo Lee, Yunseok Kim, Jae-Won Jeong
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a9acf63ba20c7a469b40726d51f0a9e
https://doi.org/10.2139/ssrn.4378358
https://doi.org/10.2139/ssrn.4378358
Autor:
Jungi Kim
Publikováno v:
JOURNAL OF ASIAN HISTORICAL STUDIES. 156:247-308
Autor:
Jungi Kim, Ahn Doehee
Publikováno v:
Korean Association For Learner-Centered Curriculum And Instruction. 18:407-438
Publikováno v:
DigitalHERITAGE/VSMM
Despite various efforts to provide visually immersive experiences and various information about virtual cultural heritage sites, few studies have investigated how to effectively provide media related to cultural heritage sites in virtual reality or t
Autor:
Ki-Hong Kim, Woontack Woo, Hyerim Park, Eun-Seok Kim, Nohyoung Park, Seungmo Hong, Jungwha Kim, Jungi Kim, Jong-Won Lee, Hayun Kim
Publikováno v:
Distributed, Ambient and Pervasive Interactions ISBN: 9783319586960
HCI (21)
HCI (21)
AR technology has been rapidly accepted in the cultural heritage domain, which requires wide context information for complete understanding as providing an enhanced experience to the user with related information of the physical world. However, curre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1500c69c2a1e0ff8a73ce57c1fad372
https://doi.org/10.1007/978-3-319-58697-7_26
https://doi.org/10.1007/978-3-319-58697-7_26
Autor:
Natalia Segal, Bo Wang, Catherine Kobus, Yongchao Deng, Christophe Servan, Dakun Zhang, Jungi Kim, Guillaume Klein, Josep Maria Crego, Jean Senellart
Publikováno v:
WMT
This paper describes SYSTRAN's systems submitted to the WMT 2017 shared news translation task for English-German, in both translation directions. Our systems are built using OpenNMT, an open-source neural machine translation system, implementing sequ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5c37cdcca4ab72bcdeb8f2d72ac9ca70
Publikováno v:
International Journal of Computer Processing of Languages. 22:205-218
This paper proposes a method that automatically creates a sentiment lexicon in a new language using a sentiment lexicon in a resource–rich language with only a bilingual dictionary. We resolve some of the difficulties in selecting appropriate sense
Publikováno v:
Information Processing & Management. 43:1173-1182
Through the recent NTCIR workshops, patent retrieval casts many challenging issues to information retrieval community. Unlike newspaper articles, patent documents are very long and well structured. These characteristics raise the necessity to reasses
Autor:
Iryna Gurevych, Jungi Kim
Collaboratively Constructed Language Resources (CCLRs) such as Wikipedia, Wiktionary, Linked Open Data, and various resources developed using crowdsourcing techniques such as Games with a Purpose and Mechanical Turk have substantially contributed to