A Cycle Gan Approach for Heterogeneous Domain Adaptation in Land Use Classification.
Claire VoreiterJean-Christophe BurnelPierre LassalleMarc SpigaiRomain HuguesNicolas CourtyPublished in: IGARSS (2020)
Keyphrases
- domain adaptation
- document classification
- machine learning
- decision trees
- cross domain
- text classification
- feature selection
- support vector machine
- unsupervised learning
- target domain
- multiple sources
- training samples
- semi supervised
- labeled data
- transfer learning
- classification accuracy
- feature space
- support vector
- feature representation
- training data
- supervised learning
- databases
- semi supervised learning
- classification algorithm
- feature extraction
- manifold alignment
- sufficient training data