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pro vyhledávání: '"Zhang, Te"'
Unsupervised multi-view representation learning has been extensively studied for mining multi-view data. However, some critical challenges remain. On the one hand, the existing methods cannot explore multi-view data comprehensively since they usually
Externí odkaz:
http://arxiv.org/abs/2309.11473
Data collected by multiple methods or from multiple sources is called multi-view data. To make full use of the multi-view data, multi-view learning plays an increasingly important role. Traditional multi-view learning methods rely on a large number o
Externí odkaz:
http://arxiv.org/abs/2110.05610
Autor:
Jiang, Tianliang, Su, Xiaoling, Qu, Yanping, Singh, Vijay P., Zhang, Te, Chu, Jiangdong, Hu, Xuexue
Publikováno v:
In Journal of Hydrology April 2024 633
Autor:
Sha, Xiaotong, Ye, Huijing, Wang, Xing, Xu, Zhihui, Sun, Anqi, Xiao, Wei, Zhang, Te, Yang, Shenglan, Yang, Huasheng
Publikováno v:
In Experimental Eye Research March 2024 240
Publikováno v:
In Journal of Hydrology February 2024 630
Publikováno v:
In Control Engineering Practice February 2024 143
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
With the rise of artificial intelligence technology in the context of digital development of big data and information, the biosafety management method under the traditional model can hardly fit the development requirements of the times, and the biosa
Externí odkaz:
https://doaj.org/article/384ba163570748d5891bf2b9afca9cd4
Autor:
Zhang Te
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
In the context of cultural diversification and exchange, this paper first proposes the direction and grasp of mainstream media integration development in foreign communication, mainly focusing on communication concepts, communication principles, comm
Externí odkaz:
https://doaj.org/article/8904656e0e474e68893965c6845fcf25
Publikováno v:
In Journal of Hydrology December 2023 627 Part A
Publikováno v:
In Journal of Hydrology December 2023 627 Part A