Zobrazeno 1 - 10
of 10 031
pro vyhledávání: '"Jeong, Jae"'
Autor:
Lee, Jeong-Eun, Baek, Giseon, Lee, Seokho, Jeong, Jae-Hong, Kim, Chul-Hwan, Aikawa, Yuri, Herczeg, Gregory J., Johnstone, Doug, Tobin, John J.
We present the spectra of Complex Organic Molecules (COMs) detected in HOPS 373SW with the Atacama Large Millimeter/submillimeter Array (ALMA). HOPS 373SW, which is a component of a protostellar binary with a separation of 1500 au, has been discovere
Externí odkaz:
http://arxiv.org/abs/2306.16959
Facial expression in-the-wild is essential for various interactive computing domains. Especially, "Emotional Reaction Intensity" (ERI) is an important topic in the facial expression recognition task. In this paper, we propose a multi-emotional task l
Externí odkaz:
http://arxiv.org/abs/2303.09240
Publikováno v:
Scientific Reports. 8/29/2024, Vol. 14 Issue 1, p1-13. 13p.
Autor:
Sang Woo Kim, In Chul Nam, Doo Ri Kim, Jeong Sub Lee, Jeong Jae Kim, Bong Su Kim, Guk Myung Choi, Sung Eun Park
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-8 (2024)
Abstract This retrospective study evaluated the safety and efficacy of fluoroscopy-guided urethral catheterization in patients who failed blind or cystoscopy-assisted urethral catheterization. We utilized our institutional database between January 20
Externí odkaz:
https://doaj.org/article/f373c23026c14217a84a19d36d253f31
Autor:
Jeong, Jae Sik
The objective of this dissertation is to develop a suitable statistical methodology for parameter estimation in long memory process. Time series data with complex covariance structure are shown up in various fields such as finance, computer network,
Externí odkaz:
http://hdl.handle.net/1969.1/ETD-TAMU-3074
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
There have been several attempts to use deep learning based on brain fMRI signals to classify cognitive impairment diseases. However, deep learning is a hidden black box model that makes it difficult to interpret the process of classification. To add
Externí odkaz:
http://arxiv.org/abs/2207.01581
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
Nowadays, pre-trained sequence-to-sequence models such as BERTSUM and BART have shown state-of-the-art results in abstractive summarization. In these models, during fine-tuning, the encoder transforms sentences to context vectors in the latent space
Externí odkaz:
http://arxiv.org/abs/2202.10967
Autor:
Jeong, Jae Eun, Yeu, Minsun
Publikováno v:
Journal of Research in Interactive Marketing, 2023, Vol. 17, Issue 6, pp. 959-974.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JRIM-08-2022-0237