Knowledge Transfer Learning via Dual Density Sampling for Resource-Limited Domain AdaptationOACSCD

作者：Zefeng Zheng;Luyao Teng;Wei Zhang;Naiqi Wu;Shaohua Teng

作者单位：School of Computer Science and Technology,Guangdong University of Technology,Guangzhou 510006,ChinaSchool of Information Engineering,Guangzhou Panyu Polytechic,Guangzhou 511483,China||Faculty of Information Technology,Monash University,20 Exhibition Walk Clayton,VIC 3800,AustraliaSchool of Computer Science and Technology,Guangdong University of Technology,Guangzhou 510006,ChinaInstitute of Systems Engineering and Collaborative Laboratory for Intelligent Science and Systems,Macau University of Science and Technology,Macao 999078,ChinaSchool of Computer Science and Technology,Guangdong University of Technology,Guangzhou 510006,China

中文关键词：Cross-domain riskdual density samplingintra-domain riskmaximum mean discrepancyknowledge transfer learn-ingresource-limited domain adaptation

英文关键词：Cross-domain riskdual density samplingintra-domain riskmaximum mean discrepancyknowledge transfer learn-ingresource-limited domain adaptation

刊名：《自动化学报（英文版）》 2023 (12)

页码/页数：2269-2291,23

基金：This work was supported in part by the Key-Area Research and Development Program of Guangdong Province(2020B010166006),the National Natural Science Foundation of China(61972102),the Guangzhou Science and Technology Plan Project(023A04J1729),and the Science and Technology development fund(FDCT),Macau SAR(015/2020/AMJ).

DOI：10.1109/JAS.2023.123342