Unsupervised Ground Metric Learning using Wasserstein Eigenvectors.
Geert-Jan HuizingLaura CantiniGabriel PeyréPublished in: CoRR (2021)
Keyphrases
- metric learning
- semi supervised
- fully supervised
- distance metric learning
- distance metric
- dimensionality reduction
- semi supervised learning
- machine learning and pattern recognition
- pairwise
- learning tasks
- unsupervised learning
- covariance matrix
- principal component analysis
- multi task
- pointwise
- distance function
- supervised learning
- kernel matrix
- labeled data
- semi definite programming
- feature space
- data sets
- mahalanobis metric
- image classification
- feature extraction
- machine learning
- manifold learning
- spectral clustering
- unlabeled data
- weakly supervised
- active learning
- neural network