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pro vyhledávání: '"Wang, Xingang"'
Whereas the power of reservoir computing (RC) in inferring chaotic systems has been well established in the literature, the studies are mostly restricted to mono-functional machines where the training and testing data are acquired from the same attra
Externí odkaz:
http://arxiv.org/abs/2409.16719
Cluster synchronization in synthetic networks of coupled chaotic oscillators is investigated. It is found that despite the asymmetric nature of the network structure, a subset of the oscillators can be synchronized as a cluster while the other oscill
Externí odkaz:
http://arxiv.org/abs/2405.08844
Autor:
Bao, Xiaoyi, Sun, Siyang, Ma, Shuailei, Zheng, Kecheng, Guo, Yuxin, Zhao, Guosheng, Zheng, Yun, Wang, Xingang
The reasoning segmentation task, which demands a nuanced comprehension of intricate queries to accurately pinpoint object regions, is attracting increasing attention. However, Multi-modal Large Language Models (MLLM) often find it difficult to accura
Externí odkaz:
http://arxiv.org/abs/2404.05673
Autor:
Zhao, Guosheng, Wang, Xiaofeng, Zhu, Zheng, Chen, Xinze, Huang, Guan, Bao, Xiaoyi, Wang, Xingang
World models have demonstrated superiority in autonomous driving, particularly in the generation of multi-view driving videos. However, significant challenges still exist in generating customized driving videos. In this paper, we propose DriveDreamer
Externí odkaz:
http://arxiv.org/abs/2403.06845
For few-shot semantic segmentation, the primary task is to extract class-specific intrinsic information from limited labeled data. However, the semantic ambiguity and inter-class similarity of previous methods limit the accuracy of pixel-level foregr
Externí odkaz:
http://arxiv.org/abs/2312.06474
Model-free reconstruction of the bifurcation diagrams of Chua's circuits by the technique of parameter-aware reservoir computing is investigated. We demonstrate that: (1) reservoir computer can be utilized as a noise filter to recover the system traj
Externí odkaz:
http://arxiv.org/abs/2309.09986
Power systems dominated by renewable energy encounter frequently large, random disturbances, and a critical challenge faced in power-system management is how to anticipate accurately whether the perturbed systems will return to the functional state a
Externí odkaz:
http://arxiv.org/abs/2305.14374
Autor:
JIA Jia, LIU Jiahui, JI Wenjun, ZHENG Bo, WANG Xingang, FAN Fangfang, LI Yin, ZHANG Long, ZHANG Yan
Publikováno v:
Zhongguo quanke yixue, Vol 27, Iss 36, Pp 4568-4574 (2024)
Background Proprotein convertase subtilisin/kexin type 9 (PCSK9) plays a crucial role in lipid metabolism. The factors influencing PCSK9 in acute myocardial infarction (AMI) patients have not been fully understood. Objective To investigate the influe
Externí odkaz:
https://doaj.org/article/f863c83b6e7e4ccf9686f47c080374f7
Autor:
Qin, Jie, Wu, Jie, Yan, Pengxiang, Li, Ming, Yuxi, Ren, Xiao, Xuefeng, Wang, Yitong, Wang, Rui, Wen, Shilei, Pan, Xin, Wang, Xingang
Recently, open-vocabulary learning has emerged to accomplish segmentation for arbitrary categories of text-based descriptions, which popularizes the segmentation system to more general-purpose application scenarios. However, existing methods devote t
Externí odkaz:
http://arxiv.org/abs/2303.17225
BEV perception is of great importance in the field of autonomous driving, serving as the cornerstone of planning, controlling, and motion prediction. The quality of the BEV feature highly affects the performance of BEV perception. However, taking the
Externí odkaz:
http://arxiv.org/abs/2303.08333