Mind the Eigen-Gap, or How to Accelerate Semi-Supervised Spectral Learning Algorithms.
Dimitrios MavroeidisPublished in: IJCAI (2011)
Keyphrases
- semi supervised
- learning algorithm
- labeled data
- unlabeled data
- active learning
- semi supervised learning
- supervised learning
- subspace learning
- unsupervised and semi supervised
- kernel machines
- learning problems
- pairwise
- machine learning
- machine learning algorithms
- unsupervised learning
- artificial intelligence
- multi view
- semi supervised clustering
- co training
- partially labeled data
- training data
- training examples
- batch mode
- spectral analysis
- back propagation
- semi supervised classification
- reinforcement learning
- cognitive science
- labeled examples
- learning models
- manifold learning
- incremental learning
- hyperspectral
- learning process
- principal component analysis
- label propagation
- pairwise constraints
- labeled and unlabeled data
- hyperspectral imagery
- hyperspectral images
- membership queries
- training samples
- infrared
- mental states
- learning rate
- metric learning
- transfer learning
- class labels