Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Zeng, Guohang"'
Cross-Domain Recommendation (CDR) is a promising paradigm inspired by transfer learning to solve the cold-start problem in recommender systems. Existing state-of-the-art CDR methods train an explicit mapping function to transfer the cold-start users
Externí odkaz:
http://arxiv.org/abs/2408.01931
Autor:
Wu, Yangning, Chen, Yanjie, Zeng, Guohang, Shang, Changjing, Miao, Zhiqiang, Wang, Hesheng, Wang, Yaonan, Shen, Qiang
Publikováno v:
IEEE/ASME Transactions on Mechatronics; December 2024, Vol. 29 Issue: 6 p4075-4086, 12p
Autor:
Chen, Yanjie, Lan, Limin, Liu, Xincheng, Zeng, Guohang, Shang, Changjing, Miao, Zhiqiang, Wang, Hesheng, Wang, Yaonan, Shen, Qiang
Publikováno v:
IEEE Transactions on Industrial Electronics; September 2024, Vol. 71 Issue: 9 p11028-11038, 11p
Publikováno v:
In Pattern Recognition June 2017 66:117-128
Publikováno v:
Human Centered Computing; 2015, p777-783, 7p
Autor:
Jie Zhou, Yunhong Wang, Zhenan Sun, Yong Xu, Linlin Shen, Jianjiang Feng, Shiguang Shan, Yu Qiao, Zhenhua Guo, Shiqi Yu
Recognition, CCBR 2017, held in Shenzhen, China, in October 2017. The 15 full papers and 65 poster papers presented in this book were carefully reviewed and selected from 138 submissions. The papers are organized in topical sections on face; fingerpr