Adversarial joint domain adaptation of asymmetric feature mapping based on least squares distance.
Yumeng YuanYuhua LiZhenlong ZhuRuixuan LiXiwu GuPublished in: Pattern Recognit. Lett. (2020)
Keyphrases
- domain adaptation
- least squares
- feature mapping
- cross domain
- labeled data
- multiple sources
- manifold learning
- semi supervised
- sentiment classification
- target domain
- semi supervised learning
- transfer learning
- spam filtering
- distance measure
- document classification
- co training
- euclidean distance
- test data
- nonlinear dimensionality reduction
- feature space
- data sets
- learning algorithm
- unlabeled data
- knowledge transfer
- machine learning
- training data
- pattern recognition
- multiple instance learning
- active learning
- text mining