Limit laws of the empirical Wasserstein distance: Gaussian distributions.
Thomas RipplAxel MunkAnja SturmPublished in: J. Multivar. Anal. (2016)
Keyphrases
- gaussian distribution
- kl divergence
- maximum likelihood
- noise model
- gaussian mixture model
- mahalanobis distance
- theoretical analysis
- covariance matrices
- multivariate gaussian
- mixture of gaussians
- distance measure
- euclidean distance
- information theoretic
- posterior distribution
- intensity distribution
- least squares
- image segmentation
- learning algorithm
- multi variate
- machine learning