Zobrazeno 1 - 10
of 319
pro vyhledávání: '"Tang, Yongchuan"'
Autor:
Zhou, Teng, Tang, Yongchuan
Diffusion models have emerged as effective tools for generating diverse and high-quality content. However, their capability in high-resolution image generation, particularly for panoramic images, still faces challenges such as visible seams and incoh
Externí odkaz:
http://arxiv.org/abs/2404.19475
Autor:
Tang, Yongchuan, Li, Rongfei
Negation is an important perspective of knowledge representation. Existing negation methods are mainly applied in probability theory, evidence theory and complex evidence theory. As a generalization of evidence theory, random permutation sets theory
Externí odkaz:
http://arxiv.org/abs/2403.06483
Publikováno v:
In Applied Soft Computing August 2024 161
Publikováno v:
In Neurocomputing 1 April 2024 576
Autor:
Qin, Miao, Tang, Yongchuan
This paper investigates the issues of combination and normalization of interval-valued belief structures within the framework of Dempster-Shafer theory of evidence. Existing approaches are reviewed and thoroughly analyzed. The advantages and drawback
Externí odkaz:
http://arxiv.org/abs/2011.13636
Publikováno v:
In Chaos, Solitons and Fractals: the interdisciplinary journal of Nonlinear Science, and Nonequilibrium and Complex Phenomena November 2023 176
The process of information fusion needs to deal with a large number of uncertain information with multi-source, heterogeneity, inaccuracy, unreliability, and incompleteness. In practical engineering applications, Dempster-Shafer evidence theory is wi
Externí odkaz:
http://arxiv.org/abs/2004.02746
Autor:
Li, Li1 (AUTHOR), Tang, Yongchuan1,2 (AUTHOR) tangyongchuan@cqu.edu.cn
Publikováno v:
Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ). Aug2023, Vol. 48 Issue 8, p10713-10726. 14p.
Akademický článek
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Publikováno v:
In Neurocomputing 1 December 2022 514:70-82