A Transfer-Learning Approach to Image Segmentation Across Scanners by Maximizing Distribution Similarity.
Annegreet van OpbroekMohammad Arfan IkramMeike W. VernooijMarleen de BruijnePublished in: MLMI (2013)
Keyphrases
- transfer learning
- image segmentation
- learning tasks
- training and test data
- knowledge transfer
- labeled data
- collaborative filtering
- manifold alignment
- machine learning algorithms
- text classification
- cross domain
- active learning
- machine learning
- semi supervised learning
- transfer knowledge
- similarity measure
- domain adaptation
- structure learning
- text categorization
- multi task
- multi task learning
- text mining
- target domain
- learning algorithm
- unlabeled data
- learning problems
- test data
- graph cuts
- markov random field
- reinforcement learning
- data mining
- data distribution
- databases
- expectation maximization
- data analysis