Zobrazeno 1 - 10
of 270
pro vyhledávání: '"Gao, Yinghui"'
As a fundamental operation in modern machine vision models, feature upsampling has been widely used and investigated in the literatures. An ideal upsampling operation should be lightweight, with low computational complexity. That is, it can not only
Externí odkaz:
http://arxiv.org/abs/2410.22139
Entity alignment is crucial for merging knowledge across knowledge graphs, as it matches entities with identical semantics. The standard method matches these entities based on their embedding similarities using semi-supervised learning. However, dive
Externí odkaz:
http://arxiv.org/abs/2410.20733
Publikováno v:
Zhongguo quanke yixue, Vol 27, Iss 26, Pp 3255-3263 (2024)
Background Hypertension and obstructive sleep apnea (OSA) often coexist, posing challenges in the management of blood pressure in these patients. A reliable and objective predictor is needed to anticipate the occurrence of hypertension and assess the
Externí odkaz:
https://doaj.org/article/56c8cc53f3314ce083c2d8ed98d0f7cd
Publikováno v:
In Journal of Energy Storage 1 September 2024 97 Part A
Autor:
Liang, Ruiling, Zhu, Wenjun, Gao, Yinghui, Zhao, Chen, Zhang, Chi, Xu, Liyue, Zuo, Yuhua, Lv, Yunhui, Zhao, Mingming, Li, Chenyu, Gao, Jie, Mei, Junhua, Gong, Xue, Zhang, Lisan, Shen, Shuxia, Yang, Chunbin, Ren, Jilin, Liu, Yan, Wang, Zan, Wang, Peipei, Zhou, Jinxia, Wang, Feng, Wu, Jun, Chen, Juan, Zhu, Yanmei, Zhang, Chunrong, Dong, Xiaosong, Han, Fang
Publikováno v:
In Sleep Medicine May 2024 117:123-130
Autor:
Gao, Pengbin1 (AUTHOR) gaopengbin@hit.edu.cn, Gao, Yinghui1 (AUTHOR)
Publikováno v:
Behavioral Sciences (2076-328X). May2024, Vol. 14 Issue 5, p362. 29p.
Remote sensing image registration is valuable for image-based navigation system despite posing many challenges. As the search space of registration is usually non-convex, the optimization algorithm, which aims to search the best transformation parame
Externí odkaz:
http://arxiv.org/abs/2011.11365
To have a better understanding and usage of Convolution Neural Networks (CNNs), the visualization and interpretation of CNNs has attracted increasing attention in recent years. In particular, several Class Activation Mapping (CAM) methods have been p
Externí odkaz:
http://arxiv.org/abs/2008.02312
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