Riemannian optimization for non-centered mixture of scaled Gaussian distributions.
Antoine CollasArnaud BreloyChengfang RenGuillaume GinolhacJean Philippe OvarlezPublished in: CoRR (2022)
Keyphrases
- gaussian distribution
- maximum likelihood
- noise model
- gaussian mixture model
- covariance matrices
- multivariate gaussian
- gaussian model
- mixture of gaussians
- expectation maximization
- kl divergence
- optimization problems
- lie group
- shape analysis
- probability distribution
- affine invariant
- pairwise
- object recognition
- learning algorithm