Related references
Note: Only part of the references are listed.Heterogeneous Domain Adaptation: An Unsupervised Approach
Feng Liu et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2020)
Fuzzy Multiple-Source Transfer Learning
Jie Lu et al.
IEEE TRANSACTIONS ON FUZZY SYSTEMS (2020)
Fuzzy Rule-Based Domain Adaptation in Homogeneous and Heterogeneous Spaces
Hua Zuo et al.
IEEE TRANSACTIONS ON FUZZY SYSTEMS (2019)
On the analysis of adaptability in multi-source domain adaptation
Ievgen Redko et al.
MACHINE LEARNING (2019)
Multi-representation adaptation network for cross-domain image classification
Yongchun Zhu et al.
NEURAL NETWORKS (2019)
Transfer Learning with Dynamic Adversarial Adaptation Network
Chaohui Yu et al.
2019 19TH IEEE INTERNATIONAL CONFERENCE ON DATA MINING (ICDM 2019) (2019)
Attention Bridging Network for Knowledge Transfer
Kunpeng Li et al.
2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2019) (2019)
Graph Matching and Pseudo-Label Guided Deep Unsupervised Domain Adaptation
Debasmit Das et al.
ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING - ICANN 2018, PT III (2018)
Online Transfer Learning with Multiple Homogeneous or Heterogeneous Sources
Qingyao Wu et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2017)
Joint Geometrical and Statistical Alignment for Visual Domain Adaptation
Jing Zhang et al.
30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)
Transfer learning using computational intelligence: A survey
Jie Lu et al.
KNOWLEDGE-BASED SYSTEMS (2015)
Domain Adaptation via Transfer Component Analysis
Sinno Jialin Pan et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS (2011)
A Survey on Transfer Learning
Sinno Jialin Pan et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2010)
A theory of learning from different domains
Shai Ben-David et al.
MACHINE LEARNING (2010)