Domain adaptation with Hidden Markov Random Fields.
Jan-Pieter JacobsGuy ThoonenDevis TuiaGustavo Camps-VallsBirgen HaestPaul ScheundersPublished in: IGARSS (2013)
Keyphrases
- domain adaptation
- hidden markov random fields
- semi supervised
- semi supervised clustering
- labeled data
- expectation maximization
- multiple sources
- probabilistic model
- semi supervised learning
- cross domain
- graph clustering
- target domain
- transfer learning
- unlabeled data
- document classification
- sentiment classification
- co training
- pairwise constraints
- k means
- test data
- unsupervised learning
- active learning
- training data
- multi view
- data analysis
- supervised learning
- pairwise