Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Qubo You"'
Autor:
Jie, Gong, Ming, He, Qingzhang, Zhao, Pan, Hu, Yijun, Pang, Yiwen, Bao, Qubo, You, Kangning, Li, Shengyong, Su, Yueming, Hu, Shaoyong, Wu
Publikováno v:
In Nuclear Inst. and Methods in Physics Research, B 15 February 2020 465:31-36
Autor:
Shan, Jiang, Ming, He, Kejun, Dong, Yinggen, Ouyang, Yueming, Hu, Qubo, You, Yiwen, Bao, Jian, Yuan, Wei, Wang, Chaoli, Li, Shaoyong, Wu
Publikováno v:
In Nuclear Inst. and Methods in Physics Research, B January 2013 294:39-42
Autor:
Ming He, Kangning Li, Jiancheng Liu, Qingzhang Zhao, Shaoyong Wu, Fangfang Wang, Qubo You, Shan Jiang, Yuxuan Zhang, Kejun Dong
Publikováno v:
Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms. 438:156-161
The long lived radioactive nuclide 60Fe is interesting in many research fields such as astrophysics and nuclear physics. Taking the advantage of the high energy of HI-13 tandem AMS system and the high performance of a Q3D magnetic spectrometry at CIA
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::707bc43dbe355b5deb8f33aa487ce560
https://doi.org/10.1016/j.nimb.2018.05.020
https://doi.org/10.1016/j.nimb.2018.05.020
Autor:
Kangning Li, Yueming Hu, Hao Hu, Shaoyong Wu, Chun-Sheng Jin, Duo Zhou, Kejun Dong, Ming He, Qubo You, Yiwen Bao, Yongning Xu, X. G. Wang, Guangshan Liu, Hongtao Shen, Xinyi Yin, Liang Dou, Shan Jiang, Jiancheng Liu
Publikováno v:
Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms. 361:58-62
This work was mainly supported by the National Natural Science Foundations of China (NSFC), under Grant No. 11075221, and a partly supported by the National Natural Science Foundation of China under Grant Nos. 10705054, 41073044 and 11265005.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9fa942662dc70fd4c282afbc4cddfd02
https://doi.org/10.1016/j.nimb.2015.05.026
https://doi.org/10.1016/j.nimb.2015.05.026
Autor:
Hongtao Shen, Shan Jiang, Wang Chen, Yueming Hu, Yongning Xu, Qingzhang Zhao, Shaoyong Wu, Xinhong Zhao, Ming He, Qubo You, Xinyi Yin, Liang Dou, Qing-Liang Xia, Xiaoming Wang, Li-Li Li, De-Yu Lin, Xuran Yang, Yiwen Bao, Yong-Gang Zhao, Kejun Dong, X. G. Wang, Fangfang Pang, Kangning Li
Publikováno v:
Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms. 361:471-474
The determination of uranium isotopic composition in ultra-trace U samples is very important in different fields, especially for the nuclear forensics. A new Accelerator Mass Spectrometry (AMS) technique has been developed for the measurement of uran
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::11515adc6a58700fc90c84e043f6e9f9
https://doi.org/10.1016/j.nimb.2015.04.079
https://doi.org/10.1016/j.nimb.2015.04.079
Publikováno v:
ICTAI (2)
Eyes are a critical part of facial expressions. Because of the appearance diversity of eyes due to motion, it is difficult to synthesize eye with a particular facial expression. Traditional methods have failed to adequately catch motion-related appea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b80f9f2836a2d572df19de54136ded0
https://doi.org/10.1016/j.imavis.2009.06.001
https://doi.org/10.1016/j.imavis.2009.06.001
Publikováno v:
International Journal of Pattern Recognition and Artificial Intelligence. 22:1283-1299
Recently, Graph Embedding Framework has been proposed for feature extraction. However, it is still an open issue on how to compute robust discriminant transformation for this purpose. In this paper, we show that supervised graph embedding algorithms
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f39b59c0a220e401b1c1b78f884b3e72
https://doi.org/10.1142/s021800140800679x
https://doi.org/10.1142/s021800140800679x
Publikováno v:
Signal Processing. 88:2293-2301
Recently, Graph Embedding Framework has been proposed for feature extraction. Although many algorithms can be used to extract the discriminant transformation of supervised graph embedding, it is still an open issue which algorithm is more robust. In
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d05bd3702257d900d0499293be605d38
https://doi.org/10.1016/j.sigpro.2008.03.014
https://doi.org/10.1016/j.sigpro.2008.03.014
Publikováno v:
ICPR (2)
We propose a novel manifold learning approach, called neighborhood discriminant projection (NDP), for robust face recognition. The purpose of NDP is to preserve the within-class neighboring geometry of the image space, while keeping away the projecte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::16353de39ba0a4d9b47c8e4df0718961
https://doi.org/10.1016/j.patrec.2007.01.011
https://doi.org/10.1016/j.patrec.2007.01.011
Publikováno v:
Chinese Science Bulletin. 51:7-18
Matrix factorization is an effective tool for large-scale data processing and analysis. Nonnegative matrix factorization (NMF) method, which decomposes the nonnegative matrix into two nonnegative factor matrices, provides a new way for matrix factori
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2296061709ea48cfab019009e4f79a58
https://doi.org/10.1007/s11434-005-1109-6
https://doi.org/10.1007/s11434-005-1109-6