Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Jiyong Ma"'
Autor:
Guiwu Zhuang, Xiaotao Zhang, Wenjing Du, Libin Xu, Jiyong Ma, Haitao Luo, Hongzhen Tang, Wei Wang, Peng Wang, Miao Li, Xu Yang, Dongfang Wu, Shencun Fang
Publikováno v:
Journal of Translational Medicine, Vol 22, Iss 1, Pp 1-10 (2024)
Abstract Background Accurate clinical structural variant (SV) calling is essential for cancer target identification and diagnosis but has been historically challenging due to the lack of ground truth for clinical specimens. Meanwhile, reduced clinica
Externí odkaz:
https://doaj.org/article/7010a8c1bd1543e88e7954b28c9739c5
Publikováno v:
Food and Agricultural Immunology, Vol 33, Iss 1, Pp 346-359 (2022)
Okadaic acid (OA), one of marine biotoxins produced by several species of dinoflagellates, can accumulate in marine animals. The consumption of OA-contaminated seafood can cause diarrhoeic shellfish poisoning. Many countries have established regulato
Externí odkaz:
https://doaj.org/article/3b8632abae0d40d5b164a51fc5d9c130
Autor:
Xiaoyang Shan, Zhiqiang Zhu, Jiyong Ma, Dinghui Fu, Yanwei Song, Qipei Li, Zanhui Huang, Lixin Pei, Hongwei Zhao
Publikováno v:
Marine Environmental Research. 186:105928
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a668a3c59c742e22a2a9b155ad28cfd1
https://doi.org/10.1016/j.marenvres.2023.105928
https://doi.org/10.1016/j.marenvres.2023.105928
Publikováno v:
Journal of Electronic Imaging. 28:1
The detection of smoke in the initial stage is vital for preventing fire events. Therefore, we present a method of smoke heatmap detection using computer vision. First, the smoke region is segmented by encoder–decoder with atrous separable convolut
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d9fd46d9ff5b67f6a828178c214c3872
https://doi.org/10.1117/1.jei.28.3.033006
https://doi.org/10.1117/1.jei.28.3.033006
Autor:
Qi Zhao, Yubin Xie, Urs Lahrmann, Jiyong Ma, Peng Nie, Xiaotong Luo, Wenzhong Liu, Yong Zhao, Yu Xue, Jian Ren, Yueyuan Zheng, Zhixiang Zuo
Publikováno v:
Bioinformatics
Summary: Biological sequence diagrams are fundamental for visualizing various functional elements in protein or nucleotide sequences that enable a summarization and presentation of existing information as well as means of intuitive new discoveries. H
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a8f1fbd883dddc356de0bc74b0b54db4
https://publica.fraunhofer.de/handle/publica/241334
https://publica.fraunhofer.de/handle/publica/241334
Publikováno v:
Medical Science Monitor; 7/10/2019, Vol. 25, p5114-5126, 13p
Publikováno v:
Computer Animation and Virtual Worlds. 15:485-500
We present a technique for accurate automatic visible speech synthesis from textual input. When provided with a speech waveform and the text of a spoken sentence, the system produces accurate visible speech synchronized with the audio signal. To deve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3bdf387e792129ca2f9c6ea52468440d
https://doi.org/10.1002/cav.11
https://doi.org/10.1002/cav.11
Autor:
Jiyong Ma, Ronald A. Cole
Publikováno v:
The Visual Computer. 20:86-105
We present four techniques for modeling and animating faces starting from a set of morph targets. The first technique involves obtaining parameters to control individual facial components and learning the mapping from one type of parameter to another
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d78731b48dab403c0def8256eb3b92d
https://doi.org/10.1007/s00371-003-0234-y
https://doi.org/10.1007/s00371-003-0234-y
Publikováno v:
International Journal of Pattern Recognition and Artificial Intelligence. 14:587-602
In this paper, a system designed for helping the deaf to communicate with others is presented. Some useful new ideas are proposed in design and implementation. An algorithm based on geometrical analysis for the purpose of extracting invariant feature
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f438bd2f7ea0fb5476a4efce6c53d6af
https://doi.org/10.1142/s0218001400000386
https://doi.org/10.1142/s0218001400000386
Publikováno v:
Journal of Computer Science and Technology. 13:471-474
The traditional Gaussian Mixture Model (GMM) for pattern recognition is an unsupervised learning method. The parameters in the model are derived only by the training samples in one, class without taking into account the effect of sample distributions
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f71804df3e7523e16f090f1cacf63e8
https://doi.org/10.1007/bf02948506
https://doi.org/10.1007/bf02948506