Wasserstein Propagation for Semi-Supervised Learning.
Justin SolomonRaif M. RustamovLeonidas J. GuibasAdrian ButscherPublished in: ICML (2014)
Keyphrases
- semi supervised learning
- semi supervised
- unlabeled data
- labeled data
- semi supervised classification
- supervised learning
- training data
- pointwise
- unsupervised learning
- machine learning
- label propagation
- learning problems
- manifold regularization
- active learning
- co training
- labeled examples
- improve the classification accuracy
- labeled and unlabeled data
- semi supervised clustering
- transfer learning
- graph based semi supervised learning
- semi supervised learning algorithms
- regularization framework
- data sets
- graph transduction
- unlabeled samples
- metric learning
- class labels
- probabilistic model