Zobrazeno 1 - 10
of 386
pro vyhledávání: '"Gao, Hongmin"'
Autor:
Hao, Jiaxing, Wang, Yanxi, Chang, Zhigang, Gao, Hongmin, Cheng, Zihao, Wu, Chen, Zhao, Xin, Fang, Peiye, Muwardi, Rachmat
Gait recognition is a remote biometric technology that utilizes the dynamic characteristics of human movement to identify individuals even under various extreme lighting conditions. Due to the limitation in spatial perception capability inherent in 2
Externí odkaz:
http://arxiv.org/abs/2410.08454
Gait recognition is a rapidly progressing technique for the remote identification of individuals. Prior research predominantly employing 2D sensors to gather gait data has achieved notable advancements; nonetheless, they have unavoidably neglected th
Externí odkaz:
http://arxiv.org/abs/2409.11869
Autor:
Zhang, Hehua, Gao, Hongmin, Liu, Simin, Ren, Xinshui, Que, Longbin, Gu, Xin, Rong, Shengzhong, Ma, Hongkun, Ruan, Junbin, Miao, Meng, Qi, Xue, Chang, Dong, Pan, Hongzhi
Publikováno v:
In Talanta 1 November 2024 279
Publikováno v:
In Journal of King Saud University - Computer and Information Sciences September 2024 36(7)
Autor:
Wu, Chunyan, Mu, Wendi, Wu, Fangfang, Gao, Hongmin, Ren, Xinshui, Feng, Jing, Miao, Men, Zhang, Hehua, Chang, Dong, Pan, Hongzhi
Publikováno v:
In Analytical Biochemistry September 2024 692
Autor:
Gao, Hongmin, Zhang, Hehua, Qi, Xue, Miao, Meng, Que, Longbin, Gu, Xin, Chang, Dong, Pan, Hongzhi
Publikováno v:
In Talanta 1 January 2025 282
Autor:
Miao, Meng, Zhang, Ruyi, Gao, Hongmin, Zhang, Hehua, Que, Longbin, Gu, Xin, Chang, Dong, Pan, Hongzhi
Publikováno v:
In International Immunopharmacology 25 December 2024 143 Part 2
Autor:
Zhang, Yiyan, Gao, Hongmin, Zhou, Jun, Zhang, Chenkai, Ghamisi, Pedram, Xu, Shufang, Li, Chenming, Zhang, Bing
Publikováno v:
In Expert Systems With Applications 15 December 2024 258
Autor:
Duan, Pengfei, Gao, Hongmin, Shen, Yushi, Guo, Zhetao, Ma, Zhaofeng, Tian, Tian, Zhang, Yuqing
Publikováno v:
In Computer Networks December 2024 255
Recently, convolutional neural network (CNN) techniques have gained popularity as a tool for hyperspectral image classification (HSIC). To improve the feature extraction efficiency of HSIC under the condition of limited samples, the current methods g
Externí odkaz:
http://arxiv.org/abs/2112.00250