Semi-supervised Sparse Subspace Clustering on Symmetric Positive Definite Manifolds.
Ming YinXiaozhao FangShengli XiePublished in: CCPR (1) (2016)
Keyphrases
- subspace clustering
- semi supervised
- high dimensional
- manifold learning
- symmetric positive definite
- riemannian manifolds
- high dimensional data
- low dimensional
- subspace clusters
- sparse representation
- clustering method
- dimensionality reduction
- labeled data
- semi supervised learning
- nearest neighbor
- clustering algorithm
- euclidean space
- unlabeled data
- high dimensionality
- diffusion tensor
- distribution function
- active learning
- supervised learning
- feature space
- machine learning
- low rank
- data points
- dimension reduction
- semi supervised clustering
- positive definite
- pairwise constraints
- pairwise
- metric learning
- geometric structure
- parameter space
- lie group
- similarity search