Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Joonmyun Cho"'
Publikováno v:
IEEE Access, Vol 12, Pp 101528-101535 (2024)
The main challenge of pose estimation for six degrees of freedom (6DoF) is the lack of labeled data in real environment. In order to overcome this problem, many studies recently have trained deep learning models with synthetic data. However, a domain
Externí odkaz:
https://doaj.org/article/146708be5d514425a5d1527a7b15d3c2
Publikováno v:
ICTC
Applying deep learning to symbolic planning is not straightforward because they differently internalize knowledge. One represents knowledge numerically while the other does symbolically. Hybrid methods that take strengths from both techniques will de
Publikováno v:
2018 20th International Conference on Advanced Communication Technology (ICACT).
Usually lots of photos and videos are recorded additionally to capture the scenes of many filming sites of dramas and movies. When people visit the sites later, however, they can rarely experience these contents again. The objective of this study is
Publikováno v:
2018 20th International Conference on Advanced Communication Technology (ICACT).
This paper discusses a method for automatic theme-related keyword extraction from users' natural language comments on their photographs and videos. ‘Theme’ indicates the concepts circumscribing and describing the content of the photos and videos
Publikováno v:
IEEE Transactions on Consumer Electronics. 58:1416-1424
User comments are one of the common online resources that reflect user's evaluative opinions about multimedia contents. The words used in user comments provide many clues about the users and about what they like or dislike. In this paper, we propose
Publikováno v:
Computer-Aided Design. 38:713-725
Seamless integration of digital parts libraries or electronic parts catalogs for e-procurement is impeded by semantic heterogeneity. The utilization of ontologies as metadata descriptions of the information sources is a possible approach to providing
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783642357275
MMM (2)
MMM (2)
Multi-document summarization techniques aim to reduce the documents into a small set of words or paragraphs that convey the main meaning of the original documents. Many approaches for multi-document summarization have used probability based methods a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2d7a818554f0d331c4392f336e7a47b3
https://doi.org/10.1007/978-3-642-35728-2_46
https://doi.org/10.1007/978-3-642-35728-2_46
Publikováno v:
BMSB
The semantic search promises to provide more accurate results than the current keyword matching-based search by understanding user intent and the contextual meaning of terms based on knowledge base. However, the ordinary users have difficulty in usin
Publikováno v:
HRI
With the advance of IT technologies, a new type of computing device will be introduced in our daily life in the near future. In this paper, we outline our on-going development of the robotic computer that naturally interacts with users, understands c
Autor:
Hyoung Sun Kim, Hyun Kim, Young-Ho Suh, Joonmyun Cho, Moohun Lee, Joo-Haeng Lee, Namshik Park, Jeongnam Yeom, Blagovest Vladimirov
Publikováno v:
Toward Useful Services for Elderly and People with Disabilities ISBN: 9783642215346
ICOST
ICOST
With the advance of IT technologies, a new type of computing device will be introduced for smart environments in the near future. In this paper, we outline our on-going development of the robotic computer that naturally interacts with users, understa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1d8eaf6d23b7f8cc0f59d2fcd462c995
https://doi.org/10.1007/978-3-642-21535-3_34
https://doi.org/10.1007/978-3-642-21535-3_34