Active Semi-Supervised Learning Using Sampling Theory for Graph Signals.
Akshay GaddeAamir AnisAntonio OrtegaPublished in: CoRR (2014)
Keyphrases
- semi supervised learning
- graph based semi supervised learning
- label propagation
- semi supervised classification
- graph construction
- semi supervised
- unlabeled data
- labeled data
- machine learning
- supervised learning
- unsupervised learning
- co training
- manifold regularization
- active learning
- graph laplacian
- training data
- multi view semi supervised learning
- weighted graph
- learning models
- spectral analysis
- transfer learning
- semi supervised learning algorithms
- text classification
- data sets
- graph structure
- domain adaptation
- kernel function
- pairwise
- feature selection
- computer vision