A New Progressive Multisource Domain Adaptation Network With Weighted Decision Fusion

• Published in: IEEE transaction on neural networks and learning systems Vol. 35; no. 1; pp. 1062 - 1072
• Main Authors: Liu, Zhun-Ga, Ning, Liang-Bo, Zhang, Zuo-Wei
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.01.2024; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adaptation; Classification; Decision making; Deep learning; Deep neural networks; domain adaptation; Kernel; Knowledge engineering; Learning systems; multiple source domains; Neural networks; Semantics; Training; transfer learning

Multisource unsupervised domain adaptation (MUDA) is an important and challenging topic for target classification with the assistance of labeled data in source domains. When we have several labeled source domains, it is difficult to map all source domains and target domain into a common feature spac...