MDDD: Manifold-based Domain Adaptation with Dynamic Distribution for Non-Deep Transfer Learning in Cross-subject and Cross-session EEG-based Emotion Recognition.
Ting LuoJing ZhangYingwei QiuLi ZhangYaohua HuZhuliang YuZhen LiangPublished in: CoRR (2024)
Keyphrases
- domain adaptation
- transfer learning
- manifold alignment
- target domain
- emotion recognition
- cross domain
- labeled data
- source domain
- knowledge transfer
- learning tasks
- transfer knowledge
- training and test data
- reinforcement learning
- active learning
- semi supervised learning
- text categorization
- machine learning
- text classification
- audio visual
- collaborative filtering
- multiple sources
- learning algorithm
- neural network
- unlabeled data
- semi supervised
- data sets
- domain specific
- text mining
- prior knowledge
- feature selection
- computer vision