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