An RKHS for multi-view learning and manifold co-regularization.
Vikas SindhwaniDavid S. RosenbergPublished in: ICML (2008)
Keyphrases
- multi view learning
- multi view
- reproducing kernel hilbert space
- semi supervised learning
- unlabeled data
- multi task learning
- euclidean space
- small sample size
- kernel methods
- semi supervised
- transfer learning
- co training
- low dimensional
- loss function
- sample size
- high dimensional
- labeled data
- d objects
- single view
- nearest neighbor
- three dimensional
- feature selection
- high dimensionality
- active learning
- multiple features
- kernel matrix
- training set
- unlabeled samples
- feature space