Maximum Likelihood Estimators on Manifolds.
Hatem HajriSalem SaidYannick BerthoumieuPublished in: GSI (2017)
Keyphrases
- speech recognition
- maximum likelihood
- maximum likelihood estimator
- em algorithm
- likelihood function
- kernel density estimators
- parameter estimation
- manifold learning
- maximum likelihood estimation
- expectation maximization
- euclidean space
- additive noise
- analytical expressions
- maximum a posteriori
- cell complexes
- variance estimator
- high dimensional
- gaussian distribution
- low dimensional
- data sets
- confidence intervals
- riemannian manifolds
- lie group
- differential operators
- synthetic aperture radar
- asymptotic properties
- principal component analysis