Semi-supervised Kernel Metric Learning Using Relative Comparisons.
Ehsan AmidAristides GionisAntti UkkonenPublished in: CoRR (2016)
Keyphrases
- metric learning
- semi supervised
- kernel matrix
- positive semidefinite
- semi supervised clustering
- positive semi definite
- kernel learning
- distance metric learning
- semi supervised learning
- pairwise
- labeled data
- supervised learning
- pairwise constraints
- semidefinite programming
- unsupervised learning
- distance metric
- unlabeled data
- kernel pca
- active learning
- fully supervised
- feature space
- labeled and unlabeled data
- kernel function
- distance function
- manifold learning
- semi supervised classification
- gaussian process
- gaussian processes
- learning tasks
- mahalanobis metric
- support vector
- weakly supervised
- multiple kernel learning
- multi task
- low rank
- high dimensional
- subject to linear constraints
- machine learning
- kernel methods
- transfer learning
- support vector machine
- feature extraction