Zobrazeno 1 - 10
of 64
pro vyhledávání: '"Wang, Keyao"'
Variable selection is a procedure to attain the truly important predictors from inputs. Complex nonlinear dependencies and strong coupling pose great challenges for variable selection in high-dimensional data. In addition, real-world applications hav
Externí odkaz:
http://arxiv.org/abs/2307.00205
Autor:
Yue, Haixiao, Wang, Keyao, Zhang, Guosheng, Feng, Haocheng, Han, Junyu, Ding, Errui, Wang, Jingdong
Current domain adaptation methods for face anti-spoofing leverage labeled source domain data and unlabeled target domain data to obtain a promising generalizable decision boundary. However, it is usually difficult for these methods to achieve a perfe
Externí odkaz:
http://arxiv.org/abs/2212.03651
Autor:
Wang, Keyao, Liu, Bo
This paper attempts to derive a mathematical formulation for real-practice clinical laboratory schedul-ing, and to present a syntactic adaptive problem solver by leveraging landscape structures. After formulating scheduling of medical tests as a dist
Externí odkaz:
http://arxiv.org/abs/2204.08320
Publikováno v:
In Sustainable Cities and Society 15 October 2024 113
Autor:
He, Yinan, Sheng, Lu, Shao, Jing, Liu, Ziwei, Zou, Zhaofan, Guo, Zhizhi, Jiang, Shan, Sun, Curitis, Zhang, Guosheng, Wang, Keyao, Yue, Haixiao, Hong, Zhibin, Wang, Wanguo, Li, Zhenyu, Wang, Qi, Wang, Zhenli, Xu, Ronghao, Zhang, Mingwen, Wang, Zhiheng, Huang, Zhenhang, Zhang, Tianming, Zhao, Ningning
The rapid progress of photorealistic synthesis techniques has reached a critical point where the boundary between real and manipulated images starts to blur. Recently, a mega-scale deep face forgery dataset, ForgeryNet which comprised of 2.9 million
Externí odkaz:
http://arxiv.org/abs/2112.08325
Publikováno v:
In Expert Systems With Applications 1 March 2024 237 Part A
Publikováno v:
In International Journal of Hydrogen Energy 29 February 2024 57:1316-1324
Autor:
Feng, Haocheng, Hong, Zhibin, Yue, Haixiao, Chen, Yang, Wang, Keyao, Han, Junyu, Liu, Jingtuo, Ding, Errui
Many existing face anti-spoofing (FAS) methods focus on modeling the decision boundaries for some predefined spoof types. However, the diversity of the spoof samples including the unknown ones hinders the effective decision boundary modeling and lead
Externí odkaz:
http://arxiv.org/abs/2005.03922
Publikováno v:
In World Neurosurgery September 2023 177:e332-e342
Autor:
Yu, Juan *, Liu, Xingyou, Wang, Keyao *, Wang, Huimin *, Han, Yufeng *, Kang, Jie *, Deng, Ruiqiang *, Zhou, Huaijun *, Duan, Zhibian *
Publikováno v:
In Poultry Science January 2023 102(1)