Statistical Learning on Manifold-Valued Data.
Alexander P. KuleshovAlexander V. BernsteinPublished in: MLDM (2016)
Keyphrases
- statistical learning
- valued data
- manifold learning
- information theory
- model selection
- low dimensional
- order statistics
- matrix valued
- supervised learning
- high dimensional
- mixture model
- dimensionality reduction
- covariance matrices
- text mining
- statistical inference
- feature space
- riemannian manifolds
- high dimensional data
- pairwise
- tensor field
- data sets
- image analysis
- image processing
- data mining