Zobrazeno 1 - 10
of 319
pro vyhledávání: '"Zhang, Huayan"'
As a popular form of knowledge and experience, patterns and their identification have been critical tasks in most data mining applications. However, as far as we are aware, no study has systematically examined the dynamics of pattern values and their
Externí odkaz:
http://arxiv.org/abs/2409.04456
Autor:
Guo, Qiaozhi, Zhao, Xiaopeng, Ma, Jingxiang, Zhou, Yi, Gao, Fei, Huang, Wei, Sun, Li, Zhu, Sufei, Li, Lijuan, Sun, Huimin, Jia, Wei, Zhang, Huayan, Zhao, Danyang
Publikováno v:
In Indian Journal of Medical Microbiology November-December 2024 52
Autor:
Wang, Qian, Zeng, Fansen, Fang, Chunxiao, Sun, Yi, Zhao, Xiaopeng, Rong, Xiao, Zhang, Huayan, Xu, Yi
Publikováno v:
In Brain Research 1 November 2024 1842
Publikováno v:
In Energy for Sustainable Development August 2024 81
Autor:
Xu, Yuan, Zhang, Huayan, Liu, Fengli, Li, Ruoshui, Jing, Yu, Wang, Xin, Wu, Jihuai, Zhang, Jingyang, Lan, Zhang
Publikováno v:
In Applied Surface Science 15 June 2024 658
Dynamic objects in the environment, such as people and other agents, lead to challenges for existing simultaneous localization and mapping (SLAM) approaches. To deal with dynamic environments, computer vision researchers usually apply some learning-b
Externí odkaz:
http://arxiv.org/abs/2108.01246
Dynamic environments that include unstructured moving objects pose a hard problem for Simultaneous Localization and Mapping (SLAM) performance. The motion of rigid objects can be typically tracked by exploiting their texture and geometric features. H
Externí odkaz:
http://arxiv.org/abs/2108.00695
Autor:
Bai, Ruibin, Chen, Xinan, Chen, Zhi-Long, Cui, Tianxiang, Gong, Shuhui, He, Wentao, Jiang, Xiaoping, Jin, Huan, Jin, Jiahuan, Kendall, Graham, Li, Jiawei, Lu, Zheng, Ren, Jianfeng, Weng, Paul, Xue, Ning, Zhang, Huayan
The Vehicle Routing Problem (VRP) is one of the most intensively studied combinatorial optimisation problems for which numerous models and algorithms have been proposed. To tackle the complexities, uncertainties and dynamics involved in real-world VR
Externí odkaz:
http://arxiv.org/abs/2102.10012
Dynamic environments are challenging for visual SLAM since the moving objects occlude the static environment features and lead to wrong camera motion estimation. In this paper, we present a novel dense RGB-D SLAM solution that simultaneously accompli
Externí odkaz:
http://arxiv.org/abs/2003.05102
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