Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Xie, Xiangning"'
The rapid development of 3D acquisition technology has made it possible to obtain point clouds of real-world terrains. However, due to limitations in sensor acquisition technology or specific requirements, point clouds often contain defects such as h
Externí odkaz:
http://arxiv.org/abs/2404.03572
Autor:
Song, Xiaotian, Xie, Xiangning, Lv, Zeqiong, Yen, Gary G., Ding, Weiping, Lv, Jiancheng, Sun, Yanan
Neural Architecture Search (NAS) has received increasing attention because of its exceptional merits in automating the design of Deep Neural Network (DNN) architectures. However, the performance evaluation process, as a key part of NAS, often require
Externí odkaz:
http://arxiv.org/abs/2301.05919
Deep neural networks (DNNs) are found to be vulnerable to adversarial attacks, and various methods have been proposed for the defense. Among these methods, adversarial training has been drawing increasing attention because of its simplicity and effec
Externí odkaz:
http://arxiv.org/abs/2212.14049
Neural Architecture Search (NAS) can automatically design architectures for deep neural networks (DNNs) and has become one of the hottest research topics in the current machine learning community. However, NAS is often computationally expensive becau
Externí odkaz:
http://arxiv.org/abs/2207.00987
Publikováno v:
In Food Bioscience October 2024 61
Publikováno v:
In Food Research International December 2024 197 Part 1
Neural architecture search (NAS), which automatically designs the architectures of deep neural networks, has achieved breakthrough success over many applications in the past few years. Among different classes of NAS methods, evolutionary computation
Externí odkaz:
http://arxiv.org/abs/2108.03856
Autor:
Xie, Xiangning, Dang, Yali, Pan, Daodong, Sun, Yangying, Zhou, Changyu, He, Jun, Gao, Xinchang
Publikováno v:
In Food Chemistry 30 March 2023 405 Part A
Akademický článek
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Publikováno v:
IEEE Transactions on Cybernetics; 2024, Vol. 54 Issue: 3 p1828-1840, 13p