Zobrazeno 1 - 10 of 121 pro vyhledávání: '"Xiaoyang TAN"'
1
Akademický článek
A Secure and Fair Federated Learning Framework Based on Consensus Incentive Mechanism
Autor: Feng Zhu, Feng Hu, Yanchao Zhao, Bing Chen, Xiaoyang Tan
Publikováno v: Mathematics, Vol 12, Iss 19, p 3068 (2024)
Federated learning facilitates collaborative computation among multiple participants while safeguarding user privacy. However, current federated learning algorithms operate under the assumption that all participants are trustworthy and their systems
Externí odkaz: https://doaj.org/article/2cc7a68e179f4cd1ab8af167357f5d07
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2
Akademický článek
Spatial and Seasonal Variation and the Driving Mechanism of the Thermal Effects of Urban Park Green Spaces in Zhengzhou, China
Autor: Yuan Feng, Kaihua Zhang, Ang Li, Yangyang Zhang, Kun Wang, Nan Guo, Ho Yi Wan, Xiaoyang Tan, Nalin Dong, Xin Xu, Ruizhen He, Bing Wang, Long Fan, Shidong Ge, Peihao Song
Publikováno v: Land, Vol 13, Iss 9, p 1474 (2024)
Greenscaping, a key sustainable practice, helps cities combat rising temperatures and climate change. Urban parks, a pivotal greenscaping element, mitigate the urban heat island (UHI) effect. In this study, we utilized high-resolution remote sensing
Externí odkaz: https://doaj.org/article/098bd2338c054eb5917f6be4e4da75ec
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3
Akademický článek
Part‐based pose estimation with local and non‐local contextual information
Autor: Ming Chen, Xiaoyang Tan
Publikováno v: IET Computer Vision, Vol 8, Iss 6, Pp 475-486 (2014)
In this study, the authors propose a new method for part‐based human pose estimation. The key idea of the authors method is to improve the accuracies for leaf parts localisations – an issue that was largely ignored by the previous study – by in
Externí odkaz: https://doaj.org/article/9ea2ce0b5cfd4c199be4373d54827ab7
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4
Report
Pornographic Image Recognition via Weighted Multiple Instance Learning
Autor: Xin, Jin, Yuhui, Wang, Xiaoyang, Tan
Publikováno v: IEEE transactions on cybernetics, 2018
In the era of Internet, recognizing pornographic images is of great significance for protecting children's physical and mental health. However, this task is very challenging as the key pornographic contents (e.g., breast and private part) in an image
Externí odkaz: http://arxiv.org/abs/1902.03771
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9
Deep Recurrent Belief Propagation Network for POMDPs
Autor: Yuhui Wang, Xiaoyang Tan
Publikováno v: Proceedings of the AAAI Conference on Artificial Intelligence. 35:10236-10244
In many real-world sequential decision-making tasks, especially in continuous control like robotic control, it is rare that the observations are perfect, that is, the sensory data could be incomplete, noisy or even dynamically polluted due to the une
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3ad261aa785ebf244eabb05fe04ee4cf
https://doi.org/10.1609/aaai.v35i11.17227
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