9 citations · 14 across the 6 of their papers we have counts for
3 papers · 1 filter
FEMDA: a unified framework for discriminant analysis
Pierre Houdouin, Matthieu Jonckheere, Frederic Pascal
Although linear and quadratic discriminant analysis are widely recognized classical methods, they can encounter significant challenges when dealing with non-Gaussian distributions…
Affine equivariant Tyler's M-estimator applied to tail parameter learning of elliptical distributions
Esa Ollila, Daniel P. Palomar, Frederic Pascal
We propose estimating the scale parameter (mean of the eigenvalues) of the scatter matrix of an unspecified elliptically symmetric distribution using weights obtained by solving Ty…
Regularized EM algorithm
Pierre Houdouin, Esa Ollila, Frederic Pascal
Expectation-Maximization (EM) algorithm is a widely used iterative algorithm for computing (local) maximum likelihood estimate (MLE). It can be used in an extensive range of proble…