Semi-supervised Riemannian Dimensionality Reduction and Classification Using a Manifold-based Random Walker Graph.
Faezeh FallahFelix WiewelBin YangPublished in: EUSIPCO (2020)
Keyphrases
- random walker
- semi supervised
- manifold learning
- random walk
- graph cuts
- graph embedding
- multi label
- neighborhood graph
- semi supervised classification
- geodesic distance
- manifold regularization
- graph laplacian
- semi supervised learning
- label propagation
- subspace learning
- graph construction
- riemannian manifolds
- labeled data
- fisher information
- euclidean space
- labeled and unlabeled data
- riemannian metric
- finite dimensional
- low dimensional
- lie group
- active learning
- shape space
- unlabeled data
- pairwise
- information geometry
- tangent space
- feature space
- semi supervised clustering
- unsupervised learning
- markov chain
- text categorization
- text classification
- information extraction
- high dimensional
- data mining
- essential matrices