Multi-view Metric Learning in Vector-valued Kernel Spaces.
Riikka HuusariHachem KadriCécile CapponiPublished in: AISTATS (2018)
Keyphrases
- multi view
- metric learning
- reproducing kernel hilbert space
- semi supervised
- kernel matrix
- riemannian manifolds
- distance metric
- pairwise
- dimensionality reduction
- feature space
- distance function
- learning tasks
- semi supervised learning
- multi task
- d objects
- co training
- labeled data
- unlabeled data
- euclidean distance
- multi class
- kernel methods
- loss function
- unsupervised learning
- nearest neighbor
- kernel function
- active learning
- supervised learning