Separable Covariance Matrices and Kronecker Approximation.
Raja VeluKris HermanPublished in: ICCS (2017)
Keyphrases
- covariance matrices
- covariance matrix
- maximum likelihood
- distance measure
- gaussian mixture model
- gaussian distribution
- vector space
- multivariate normal
- linear classifiers
- gaussian mixture
- closed form
- riemannian metric
- feature vectors
- riemannian manifolds
- log euclidean
- bayesian networks
- positive definite
- computer vision