What you saw is not what you get: Domain adaptation using asymmetric kernel transforms.
Brian KulisKate SaenkoTrevor DarrellPublished in: CVPR (2011)
Keyphrases
- domain adaptation
- reproducing kernel hilbert space
- cross domain
- semi supervised
- labeled data
- transfer learning
- multiple sources
- sentiment classification
- semi supervised learning
- manifold alignment
- feature space
- data sets
- target domain
- test data
- kernel function
- covariate shift
- kernel methods
- knn
- pairwise
- support vector
- unlabeled data
- text classification
- machine learning