Zobrazeno 1 - 10
of 135
pro vyhledávání: '"Jung, Yuchul"'
Autor:
Oh, Heung-Seon, Jung, Yuchul
Publikováno v:
Journal of Information Science Theory and Practice, Vol 5, Iss 3, Pp 31-47 (2017)
The narrow-down approach, separately composed of search and classification stages, is an effective way of dealing with large-scale hierarchical text classification. Recent approaches introduce methods of incorporating global, local, and path informat
Externí odkaz:
https://doaj.org/article/e24681531e7b4fc4a99b735418092490
Publikováno v:
Journal of Medical Internet Research, Vol 17, Iss 4, p e90 (2015)
BackgroundThe volume of health-related user-created content, especially hospital-related questions and answers in online health communities, has rapidly increased. Patients and caregivers participate in online community activities to share their expe
Externí odkaz:
https://doaj.org/article/236f0800b49249d59c84e49ab2479ef0
Facial expression in-the-wild is essential for various interactive computing domains. Especially, "Learning from Synthetic Data" (LSD) is an important topic in the facial expression recognition task. In this paper, we propose a multi-task learning-ba
Externí odkaz:
http://arxiv.org/abs/2207.10025
Publikováno v:
Journal of Medical Internet Research, Vol 16, Iss 2, p e29 (2014)
BackgroundHealth 2.0 is a benefit to society by helping patients acquire knowledge about health care by harnessing collective intelligence. However, any misleading information can directly affect patients’ choices of hospitals and drugs, and potent
Externí odkaz:
https://doaj.org/article/54b46d35ee254ca5a69254306d1797d2
Facial expression in-the-wild is essential for various interactive computing domains. In this paper, we proposed an extended version of DAN model to address the VA estimation and facial expression challenges introduced in ABAW 2022. Our method produc
Externí odkaz:
http://arxiv.org/abs/2203.13235
The volume of academic literature, such as academic conference papers and journals, has increased rapidly worldwide, and research on metadata extraction is ongoing. However, high-performing metadata extraction is still challenging due to diverse layo
Externí odkaz:
http://arxiv.org/abs/2112.12353
Publikováno v:
In Algal Research April 2024 79
Akademický článek
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Akademický článek
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Autor:
Lee, Myeongryeol1 (AUTHOR), Jung, Yuchul1 (AUTHOR), Kim, Eunjoo1 (AUTHOR) eon827@amorepacific.com
Publikováno v:
International Journal of Cosmetic Science. Aug2023, Vol. 45 Issue 4, p500-511. 12p.