Semi-supervised learning by locally linear embedding in kernel space.
Rujie LiuYuehong WangTakayuki BabaDaiki MasumotoPublished in: ICPR (2008)
Keyphrases
- semi supervised learning
- locally linear embedding
- manifold learning
- semi supervised
- dimensionality reduction
- high dimensional
- low dimensional
- unsupervised learning
- unlabeled data
- labeled data
- high dimensional data
- supervised learning
- subspace learning
- principal components
- hyperplane
- machine learning
- learning problems
- training data
- principal component analysis
- active learning
- feature space
- data sets
- transfer learning
- similarity search
- feature selection
- distance measure
- data points
- neural network
- multiple kernel learning
- maximum margin
- metric learning
- labeled and unlabeled data
- pairwise
- input space
- singular value decomposition
- class labels
- generative model
- text classification
- pattern recognition
- feature vectors