Zobrazeno 1 - 10
of 98
pro vyhledávání: '"Liu, Zongmin"'
Training strategies for modern deep neural networks (NNs) tend to induce a heavy-tailed (HT) empirical spectral density (ESD) in the layer weights. While previous efforts have shown that the HT phenomenon correlates with good generalization in large
Externí odkaz:
http://arxiv.org/abs/2406.04657
To better care for the elderly and disabled, it is essential for service robots to have an effective fusion method of object detection and grasp estimation. However, limited research has been observed on the combination of object detection and grasp
Externí odkaz:
http://arxiv.org/abs/2307.11783
With the expansive aging of global population, service robot with living assistance applied in indoor scenes will serve as a crucial role in the field of elderly care and health in the future. Service robots need to detect multiple targets when compl
Externí odkaz:
http://arxiv.org/abs/2302.05293
Autor:
Liu, Zongmin, Xu, Yitian
Direct multi-task twin support vector machine (DMTSVM) explores the shared information between multiple correlated tasks, then it produces better generalization performance. However, it contains matrix inversion operation when solving the dual proble
Externí odkaz:
http://arxiv.org/abs/2204.02972
Autor:
Liu, Zongmin
The probabilistic linguistic term has been proposed to deal with probability distributions in provided linguistic evaluations. However, because it has some fundamental defects, it is often difficult for decision-makers to get reasonable information o
Externí odkaz:
http://arxiv.org/abs/2111.15255
Publikováno v:
In Engineering Applications of Artificial Intelligence April 2024 130
Autor:
Zhang, Ting, Liu, Zongmin, Zhao, Jianxin, Zhang, Hao, Chen, Wei, Li, Haitao, Lu, Wenwei, Xiao, Yue, Zhou, Xiuwen
Publikováno v:
In LWT 1 October 2023 188
Publikováno v:
In Journal of the Franklin Institute January 2023 360(2):1145-1165
Autor:
Liu, Zongmin, Li, Haitao, Li, Lingzhi, Ma, QingQing, Fang, ZhiFeng, Wang, Hongchao, Lee, Yuankun, Zhao, Jianxin, Zhang, Hao, Chen, Wei, Lu, Wenwei
Publikováno v:
In Gene 5 June 2022 826
Akademický článek
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