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EDTM:Efficient Domain Transition for Multi-Source Domain Adaptation

Mangyu Lee Jaekyun Jeong Yun Wook Choo Keejun Han Jungeun Kim

Computer Modeling in Engineering & Sciences2026，Vol.146Issue(2)：P.955-970,16.

Computer Modeling in Engineering & Sciences2026，Vol.146Issue(2)：P.955-970,16.DOI:10.32604/cmes.2026.074428

EDTM:Efficient Domain Transition for Multi-Source Domain Adaptation

Mangyu Lee ¹Jaekyun Jeong ²Yun Wook Choo ³Keejun Han ⁴Jungeun Kim²

作者信息

1. Department of Computer Science and Engineering,Kongju National University,Cheonan,Republic of Korea
2. Department of Electrical and Computer Engineering,Inha University,Incheon,Republic of Korea
3. Department of Civil and Environmental Engineering,Kongju National University,Cheonan,Republic of Korea
4. School of Computer Engineering,Hansung University,Seoul,Republic of Korea
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摘要

关键词

Multi-source domain adaptation/imitation learning/maximum classifier discrepancy/ensemble based classifier/EDTM

分类

信息技术与安全科学

引用本文复制引用

Mangyu Lee,Jaekyun Jeong,Yun Wook Choo,Keejun Han,Jungeun Kim..EDTM:Efficient Domain Transition for Multi-Source Domain Adaptation[J].Computer Modeling in Engineering & Sciences,2026,146(2):P.955-970,16.

基金项目

supported by the National Research Foundation of Korea(NRF)grant funded by the Korea government(MSIT)(No.RS-2024-00406320) （NRF）

the Institute of Information&Communica-tions Technology Planning&Evaluation(IITP)-Innovative Human Resource Development for Local Intellectualization Program Grant funded by the Korea government(MSIT)(IITP-2026-RS-2023-00259678). （IITP）

Computer Modeling in Engineering & Sciences

ISSN：1526-1492

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