Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Kaiming Shi"'
Publikováno v:
IEEE Access, Vol 8, Pp 101224-101234 (2020)
Flexible manifold embedding (FME) has been recognized as an effective method for face recognition by integrating both class label information from labeled data and manifold structure information of all data. In order to achieve better performance, th
Externí odkaz:
https://doaj.org/article/8e87d610aea448fe9b78bbdfc71bd663
Publikováno v:
Signal Processing. 206:108915
Publikováno v:
International Journal of Applied Electromagnetics and Mechanics. 63:361-374
Autor:
Kaiming Shi1 skm331@163.com, Darong Li1
Publikováno v:
Agricultural Biotechnology (2164-4993). Jun2018, Vol. 7 Issue 3, p1-9. 6p.
Publikováno v:
Computers and Electrical Engineering. 100:107941
Publikováno v:
Engineering Applications of Artificial Intelligence. 94:103758
The traditional manifold learning methods usually utilize the original observed data to directly define the intrinsic structure among data. Because the original samples often contain a deal of redundant information or it is corrupted by noises, it le
Autor:
Kaiming Shi, Liping Guo
Publikováno v:
2011 International Conference on Electrical and Control Engineering.
Analysis the Factors of devices tanδ on-line monitoring, in the paper, by using shield method and the coefficient correction method eliminates the impact of external effectively, And by changing sampling method of voltage signal to resolve the phase
Autor:
Kaiming Shi, Liping Guo
Publikováno v:
2011 International Conference on Electrical & Control Engineering (ICECE); 2011, p1228-1231, 4p