Manifold Correlation Graph for Semi-Supervised Learning.
Lucas Pascotti ValemDaniel Carlos Guimarães PedronetteFabricio Aparecido BreveIvan Rizzo GuilhermePublished in: IJCNN (2018)
Keyphrases
- semi supervised learning
- graph laplacian
- manifold regularization
- graph based semi supervised learning
- graph construction
- semi supervised classification
- label propagation
- manifold structure
- semi supervised
- unlabeled data
- neighborhood graph
- supervised learning
- labeled data
- labeled and unlabeled data
- unsupervised learning
- machine learning
- co training
- random walk
- semi supervised learning methods
- training data
- learning models
- manifold learning
- semi supervised clustering
- semi supervised learning algorithms
- graph structure
- spectral clustering
- active learning
- euclidean space
- kernel machines
- data sets
- transfer learning
- text classification
- low dimensional
- pairwise
- data mining