A high dimensional nonparametric test for proportional covariance matrices.
Kai XuYan TianDaojiang HePublished in: J. Multivar. Anal. (2021)
Keyphrases
- covariance matrices
- high dimensional
- covariance matrix
- maximum likelihood
- vector space
- gaussian distribution
- distance measure
- similarity search
- gaussian mixture model
- low dimensional
- multivariate normal
- dimensionality reduction
- gaussian mixture
- feature vectors
- nearest neighbor
- linear classifiers
- riemannian manifolds
- log euclidean
- em algorithm
- metric space
- sample size
- data sets
- multi class
- query processing
- objective function
- image processing
- machine learning