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Domain-invariant Graph for Adaptive Semi-supervised Domain Adaptation 期刊论文
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2022, 卷号: 18, 期号: 3, 页码: 18
Authors:  Li, Jinfeng;  Liu, Weifeng;  Zhou, Yicong;  Yu, Jun;  Tao, Dapeng;  Xu, Changsheng
Favorite  |  View/Download:34/0  |  Submit date:2022/06/10
Domain adaptation  domain-invariant graph  the Nystrom method  few labeled source samples  
Dynamic Graph Learning Convolutional Networks for Semi-supervised Classification 期刊论文
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2021, 卷号: 17, 期号: 1, 页码: 13
Authors:  Fu, Sichao;  Liu, Weifeng;  Guan, Weili;  Zhou, Yicong;  Tao, Dapeng;  Xu, Changsheng
Favorite  |  View/Download:41/0  |  Submit date:2021/06/15
Graph representation learning  graph convolutional networks  semisupervised classification  
Unified Cross-domain Classification via Geometric and Statistical Adaptations 期刊论文
PATTERN RECOGNITION, 2021, 卷号: 110, 页码: 9
Authors:  Liu, Weifeng;  Li, Jinfeng;  Liu, Baodi;  Guan, Weili;  Zhou, Yicong;  Xu, Changsheng
Favorite  |  View/Download:59/0  |  Submit date:2021/01/06
Domain adaptation  Statistical adaptation  Maximum mean discrepancy (MMD)  Geometric adaptation  Nystrom method