Riemannian joint dimensionality reduction and dictionary learning on symmetric positive definite manifold.
Hiroyuki KasaiBamdev MishraPublished in: CoRR (2019)
Keyphrases
- symmetric positive definite
- dictionary learning
- dimensionality reduction
- sparse representation
- riemannian manifolds
- manifold learning
- sparse coding
- distribution function
- high dimensional data
- low dimensional
- diffusion tensor
- positive definite
- feature space
- feature extraction
- high dimensional
- kernel matrix
- principal component analysis
- metric learning
- euclidean space
- unsupervised learning
- data points
- pattern recognition
- dimension reduction
- feature selection
- vector space
- euclidean distance
- geodesic distance
- anisotropic diffusion
- natural images
- image segmentation
- kernel pca
- signal processing
- riemannian metric