Positive definite dictionary learning for region covariances.
Ravishankar SivalingamDaniel BoleyVassilios MorellasNikolaos PapanikolopoulosPublished in: ICCV (2011)
Keyphrases
- dictionary learning
- positive definite
- covariance matrix
- sparse representation
- sparse coding
- covariance matrices
- kernel function
- principal component analysis
- geometric structure
- sample size
- image representation
- natural images
- semi parametric
- kernel matrix
- diffusion tensor
- machine learning
- kernel methods
- generative model
- signal processing
- object recognition
- multiscale