Distance Metric Learning for Kernel Machines
Zhixiang Eddie XuKilian Q. WeinbergerOlivier ChapellePublished in: CoRR (2012)
Keyphrases
- kernel machines
- distance metric learning
- semi supervised
- kernel learning
- metric learning
- distance metric
- semi supervised learning
- image classification
- labeled data
- multi task
- support vector
- multiple kernel learning
- pairwise
- unlabeled data
- kernel function
- kernel matrix
- learning tasks
- supervised learning
- pairwise constraints
- kernel methods
- unsupervised learning
- reproducing kernel hilbert space
- low rank
- learning problems
- active learning
- model selection
- support vector regression
- support vector machine
- feature space
- pattern recognition