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07/04/2023
Algorithme EM régularisé
Expectation-Maximization (EM) algorithm is a widely used iterative algor...
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07/04/2023
FEMDA: Une méthode de classification robuste et flexible
Linear and Quadratic Discriminant Analysis (LDA and QDA) are well-known ...
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05/07/2023
Affine equivariant Tyler's M-estimator applied to tail parameter learning of elliptical distributions
We propose estimating the scale parameter (mean of the eigenvalues) of t...
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03/27/2023
Regularized EM algorithm
Expectation-Maximization (EM) algorithm is a widely used iterative algor...
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01/28/2022
A Robust and Flexible EM Algorithm for Mixtures of Elliptical Distributions with Missing Data
This paper tackles the problem of missing data imputation for noisy and ...
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01/09/2022
Robust classification with flexible discriminant analysis in heterogeneous data
Linear and Quadratic Discriminant Analysis are well-known classical meth...
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11/01/2021
PCA-based Multi Task Learning: a Random Matrix Approach
The article proposes and theoretically analyses a computationally effici...
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10/19/2021
Riemannian classification of EEG signals with missing values
This paper proposes two strategies to handle missing data for the classi...
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01/26/2021
Joint Estimation of Location and Scatter in Complex Elliptical Distributions: A robust semiparametric and computationally efficient R-estimator of the shape matrix
The joint estimation of the location vector and the shape matrix of a se...
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06/17/2020
Shrinking the eigenvalues of M-estimators of covariance matrix
A highly popular regularized (shrinkage) covariance matrix estimator is ...
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02/12/2020
M-estimators of scatter with eigenvalue shrinkage
A popular regularized (shrinkage) covariance estimator is the shrinkage ...
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07/02/2019
A flexible EM-like clustering algorithm for noisy data
We design a new robust clustering algorithm that can deal efficiently wi...
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11/05/2018
On the asymptotics of Maronna's robust PCA
The eigenvalue decomposition (EVD) parameters of the second order statis...
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03/31/2018
