Zobrazeno 1 - 10
of 204
pro vyhledávání: '"Ching Yung Lin"'
Autor:
Sing-Han Huang, Yi-Ting Chen, Xiang-Yu Lin, Yi-Yi Ly, Ssu-Ting Lien, Pei-Hsin Chen, Cheng-Tang Wang, Suh-Chin Wu, Chwen-Cheng Chen, Ching-Yung Lin
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract The COVID-19 pandemic has had a widespread impact on a global scale, and the evolution of considerable dominants has already taken place. Some variants contained certain key mutations located on the receptor binding domain (RBD) of spike pro
Externí odkaz:
https://doaj.org/article/cb0c8d13813245d7a48bd64f32a5581e
Autor:
Ching Yung Lin, 林錦雲
91
Most web applications are developed based on the trust of data returned from a client. In fact, a malicious attacker can easily use harmful data to hack web applications. On April 2002, the Taiwan government started to take notice of the SQL
Most web applications are developed based on the trust of data returned from a client. In fact, a malicious attacker can easily use harmful data to hack web applications. On April 2002, the Taiwan government started to take notice of the SQL
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/18566431531051052241
Autor:
Ying‐Wen Su, Wen‐Yu Huang, Huan‐Chau Lin, Po‐Nien Liao, Ching‐Yung Lin, Xiang‐Yu Lin, Sing‐Han Huang, Yi‐Ting Chen, Pao‐Shu Wu
Publikováno v:
Journal of Oral Pathology & Medicine. 52:245-254
Accumulating evidence shows that high expression of casein kinase 2 (CK2) and phosphorylated acetyl CoA carboxylase (pACC) in patients with squamous cell carcinoma of the head and neck (SCCHN) correlates with decreased survival rates. Computational a
Publikováno v:
Proceedings of the 30th ACM International Conference on Multimedia.
Publikováno v:
ACM Multimedia
The natural language processing community has had a major interest in auto-regressive [4, 13] and span-prediction based language models [7] recently, while knowledge graphs are often referenced for common-sense based reasoning and fact-checking model
Autor:
W. H. Adams, Giridharan Iyengar, Ching-Yung Lin, Milind Ramesh Naphade, Chalapathy Neti, Harriet J. Nock, John R. Smith
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2003, Iss 2, Pp 170-185 (2003)
We present a learning-based approach to the semantic indexing of multimedia content using cues derived from audio, visual, and text features. We approach the problem by developing a set of statistical models for a predefined lexicon. Novel concepts a
Externí odkaz:
https://doaj.org/article/801103276b0d4d7d8afca240b621ab80
Autor:
Ching-Yung Lin, Serena Yuan, Tianle Zhu, Ziyin Wang, Vishal Anand, Wenfeng Lyu, Raksha Ramesh
Publikováno v:
ICMI Companion
We create multi-modal fusion models to predict relational classes within entities in free-form inputs such as unseen movies. Our approach identifies information rich features within individual sources -- emotion, text-attention, age, gender, and cont
Autor:
Wenfeng Lyu, Raksha Ramesh, Jiana Feng, Serena Yuan, Vishal Anand, Ching-Yung Lin, Ziyin Wang, Yijing Feng, Tianle Zhu
Publikováno v:
ACM Multimedia
We consider the problem of building semantic relationship of unseen entities from free-form multi-modal sources. This intelligent agent understands semantic properties by creating (1) logical segments from sources, (2) finds interacting objects, (3)
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2007 (2007)
Externí odkaz:
https://doaj.org/article/673c3fdd3c214b29a15d7fcd80528851
Publikováno v:
International Journal of Multimedia Data Engineering and Management. 8:1-20
Modern brain mapping techniques are producing increasingly large datasets of anatomical or functional connection patterns. Recently, it became possible to record detailed live imaging videos of mammal brain while the subject is engaging routine activ