Keyphrases
- feature extraction
- embedding space
- manifold learning
- semi supervised
- dimensionality reduction
- graph embedding
- label information
- subspace learning
- discriminant analysis
- low dimensional
- nonlinear dimensionality reduction
- principal component analysis
- geometric structure
- euclidean space
- image classification
- input space
- pattern recognition
- geodesic distance
- labeled data
- feature space
- semi supervised learning
- unsupervised learning
- model selection
- high dimensional
- multi label
- linear discriminant analysis
- supervised learning
- unlabeled data
- pairwise
- feature selection
- class labels
- high dimensional data
- shortest path
- metric learning
- data points
- active learning
- manifold structure
- data sets
- kernel matrix
- reproducing kernel hilbert space
- pairwise constraints
- support vector
- learning algorithm