Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Yeo Chan Yoon"'
Publikováno v:
IEEE Access, Vol 11, Pp 136680-136691 (2023)
Traditionally, research on three-dimensional (3D) facial reconstruction has focused heavily on methods that use 3D Morphable Models (3DMMs) based on principal component analysis (PCA). Because such methods are linear, they are robust to external nois
Externí odkaz:
https://doaj.org/article/1fa1fd658fe342bdbe3ba655b30ff048
Publikováno v:
IEEE Access, Vol 11, Pp 131221-131236 (2023)
Open-world object detection is a challenging set of tasks in the realm of computer vision. In these tasks, the object detection model processes the input image or video and undergoes inference to identify objects or features present in the image or v
Externí odkaz:
https://doaj.org/article/0a88e3b9a2a249beafc9b120c9439138
Autor:
Yeo Chan Yoon
Publikováno v:
IEEE Access, Vol 10, Pp 64516-64524 (2022)
The use of sufficiently large datasets is important for most deep learning tasks, and emotion recognition tasks are no exception. Multimodal emotion recognition is the task of considering multiple types of modalities simultaneously to improve accurac
Externí odkaz:
https://doaj.org/article/d1ba514c028f4dcbb5afc88af8a670a0
Publikováno v:
ETRI Journal, Vol 42, Iss 1, Pp 67-77 (2019)
Image captioning has received significant interest in recent years, and notable results have been achieved. Most previous approaches have focused on generating visual descriptions from images, whereas a few approaches have exploited visual descriptio
Externí odkaz:
https://doaj.org/article/75c0c96a20ed4209959fd11a44ff2bfc
Publikováno v:
IEEE Access, Vol 7, Pp 155412-155423 (2019)
Network-based document clustering involves forming clusters of documents based on their significance and relationship strength. This approach can be used with various types of metadata that express the significance of the documents and the relationsh
Externí odkaz:
https://doaj.org/article/99704d40c8d242d1b0b223461073e107
Publikováno v:
International Journal on Advanced Science, Engineering & Information Technology; 2024, Vol. 14 Issue 4, p1170-1177, 8p
Publikováno v:
International Journal on Advanced Science, Engineering & Information Technology; 2024, Vol. 14 Issue 3, p873-879, 7p
Publikováno v:
Computers, Materials & Continua. 74:6213-6227
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8dbd883056274df4a637327125b41a90
https://doi.org/10.32604/cmc.2023.035344
https://doi.org/10.32604/cmc.2023.035344
Publikováno v:
ETRI Journal, Vol 39, Iss 4, Pp 443-454 (2017)
In this paper, we propose a fine‐grained mobile application clustering model using retrofitted document embedding. To automatically determine the clusters and their numbers with no predefined categories, the proposed model initializes the clusters
Externí odkaz:
https://doaj.org/article/88d29d1ce82046a0b31accd77451ebfe
Autor:
Yeo-Chan Yoon, Soo Kyun Kim
Publikováno v:
KSII Transactions on Internet & Information Systems; Jun2023, Vol. 17 Issue 6, p1620-1634, 15p