Domain Adaptation via Low-Rank Basis Approximation.
Christoph RaabFrank-Michael SchleifPublished in: CoRR (2019)
Keyphrases
- low rank
- domain adaptation
- semi supervised
- source domain
- labeled data
- matrix factorization
- convex optimization
- linear combination
- missing data
- cross domain
- low rank matrix
- singular value decomposition
- matrix completion
- kernel matrix
- unlabeled data
- multiple sources
- semi supervised learning
- high order
- high dimensional data
- target domain
- transfer learning
- test data
- active learning
- document classification
- sentiment classification
- co training
- reproducing kernel hilbert space
- approximation methods
- small number
- image processing
- machine learning