Keyphrases
- metric learning
- riemannian manifolds
- semi supervised
- euclidean space
- feature space
- manifold learning
- reproducing kernel hilbert space
- distance metric
- dimensionality reduction
- learning tasks
- supervised learning
- pairwise
- vector space
- unsupervised learning
- kernel matrix
- semi supervised learning
- labeled data
- geodesic distance
- distance function
- euclidean distance
- multi task
- parameter space
- geometric structure
- mean shift
- unlabeled data
- active learning
- feature selection
- covariance matrix
- linear transformation
- nonlinear dimensionality reduction
- learning problems
- covariance matrices
- multi class classification
- loss function
- principal component analysis
- data points
- machine learning
- data sets