Sparse Coding on Symmetric Positive Definite Manifolds using Bregman Divergences.
Mehrtash Tafazzoli HarandiRichard I. HartleyBrian C. LovellConrad SandersonPublished in: CoRR (2014)
Keyphrases
- sparse representation
- riemannian manifolds
- manifold learning
- euclidean space
- natural images
- image classification
- image representation
- image patches
- feature space
- positive definite
- geometric structure
- high dimensional data
- face recognition
- parameter space
- lie group
- mean shift
- kl divergence
- learning theory
- diffusion tensor
- geodesic distance
- dimensionality reduction
- vector space
- information theoretic
- nearest neighbor
- loss function
- high dimensional
- generative model
- multi class
- multiscale
- feature selection
- linear combination