Bregman Divergences for Infinite Dimensional Covariance Matrices.
Mehrtash Tafazzoli HarandiMathieu SalzmannFatih Murat PorikliPublished in: CVPR (2014)
Keyphrases
- covariance matrices
- infinite dimensional
- finite dimensional
- vector space
- covariance matrix
- maximum likelihood
- distance measure
- gaussian distribution
- loss function
- gaussian mixture model
- shape space
- gaussian mixture
- riemannian metric
- linear classifiers
- image processing
- principal component analysis
- learning theory
- low dimensional
- active learning
- feature vectors
- learning algorithm
- machine learning