On Convergence of the Auxiliary-Vector Beamformer With Rank-Deficient Covariance Matrices.
Olivier BessonJulien MontesinosCécile Larue de TourneminePublished in: IEEE Signal Process. Lett. (2009)
Keyphrases
- covariance matrices
- vector space
- covariance matrix
- feature vectors
- transformation matrix
- maximum likelihood
- gaussian distribution
- distance measure
- gaussian mixture model
- signal to noise ratio
- multivariate normal
- riemannian manifolds
- linear classifiers
- log euclidean
- euclidean space
- lie group
- riemannian metric
- sample size
- similarity search
- low dimensional
- principal component analysis
- probability distribution
- optimal solution
- machine learning