Robust Hypersphere Fitting from Noisy Data Using an EM Algorithm.
Julien LesoupleBarbara PilastreYoann AltmannJean-Yves TourneretPublished in: EUSIPCO (2021)
Keyphrases
- em algorithm
- noisy data
- expectation maximization
- parameter estimation
- mixture model
- maximum likelihood
- maximum likelihood estimation
- gaussian mixture model
- expectation maximisation
- incomplete data
- gaussian mixture
- likelihood function
- probabilistic principal component analysis
- generative model
- missing data
- missing values
- model based clustering
- high dimensional
- probability density function
- maximum a posteriori
- log likelihood
- noise free
- density estimation
- input data
- mixture modeling
- unsupervised learning
- least squares
- penalized likelihood
- gaussian distribution
- maximum likelihood estimates
- mixture distribution
- active learning
- feature extraction
- matrix factorisation