Constant false alarm rate detection in Spherically Invariant Random Processes. - Frédéric Pascal 001; Jean Philippe Ovarlez; Philippe Forster; Pascal Larzabal (EUSIPCO, 2004)

Theoretical analysis of an improved covariance matrix estimator in non-Gaussian noise [radar detection applications]. - Frédéric Pascal 001; Philippe Forster; Jean Philippe Ovarlez; Pascal Larzabal (ICASSP (4), 2005)

On a SIRV-CFAR detector with radar experimentations in impulsive clutter. - Frédéric Pascal 001; Jean Philippe Ovarlez; Philippe Forster; Pascal Larzabal (EUSIPCO, 2006)

First- and Second-Order Moments of the Normalized Sample Covariance Matrix of Spherically Invariant Random Vectors. - Sébastien Bausson; Frédéric Pascal 001; Philippe Forster; Jean Philippe Ovarlez; Pascal Larzabal (IEEE Signal Process. Lett., 2007)

An empirical likelihood method for data aided channel identification in unknown noise field. - Frédéric Pascal 001; Jean-Pierre Barbot; Hugo Harari-Kermadec; Ricardo Suyama; Pascal Larzabal (EUSIPCO, 2008)

On persymmetric covariance matrices in adaptive detection. - Guilhem Pailloux; Philippe Forster; Jean Philippe Ovarlez; Frédéric Pascal 001 (ICASSP, 2008)

Normalized Coherency Matrix Estimation Under the SIRV Model. Alpine Glacier Polsar Data Analysis. - Gabriel Vasile; Jean Philippe Ovarlez; Frédéric Pascal 001; Celine Tison; Lionel Bombrun; Michel Gay; Emmanuel Trouvé (IGARSS (1), 2008)

Exact Maximum Likelihood Estimates for SIRV Covariance Matrix: Existence and Algorithm Analysis. - Yacine Chitour; Frédéric Pascal 001 (IEEE Trans. Signal Process., 2008)

Covariance Structure Maximum-Likelihood Estimates in Compound Gaussian Noise: Existence and Algorithm Analysis. - Frédéric Pascal 001; Yacine Chitour; Jean Philippe Ovarlez; Philippe Forster; Pascal Larzabal (IEEE Trans. Signal Process., 2008)

Performance Analysis of Covariance Matrix Estimates in Impulsive Noise. - Frédéric Pascal 001; Philippe Forster; Jean Philippe Ovarlez; Pascal Larzabal (IEEE Trans. Signal Process., 2008)

Spatio-temporal adaptive detector in non-homogeneous and low-rank clutter. - Guillaume Ginolhac; Philippe Forster; Jean Philippe Ovarlez; Frédéric Pascal 001 (ICASSP, 2009)

Hierarchical Segmentation of Polarimetric SAR Images using Heterogeneous Clutter Models. - Lionel Bombrun; Jean-Marie Beaulieu; Gabriel Vasile; Jean Philippe Ovarlez; Frédéric Pascal 001; Michel Gay (IGARSS (3), 2009)

Estimation and Segmentation in Non-Gaussian POLSAR Clutter by SIRV Stochastic Processes. - Gabriel Vasile; Jean Philippe Ovarlez; Frédéric Pascal 001 (IGARSS (3), 2009)

Properties of robust MIMO detector. - C. Y. Chong; Frédéric Pascal 001; Jean Philippe Ovarlez; Marc Lesturgie (EUSIPCO, 2010)

Robustness analysis of covariance matrix estimates. - Mélanie Mahot; Philippe Forster; Jean Philippe Ovarlez; Frédéric Pascal 001 (EUSIPCO, 2010)

Robust MIMO radar detection for correlated subarrays. - Chin Yuan Chong; Frédéric Pascal 001; Jean Philippe Ovarlez; Marc Lesturgie (ICASSP, 2010)

Roll invariant target detection based on PolSAR clutter models. - Lionel Bombrun; Gabriel Vasile; Michel Gay; Jean Philippe Ovarlez; Frédéric Pascal 001 (IGARSS, 2010)

A test statistic for high resolution polarimetric SAR data classification. - Pierre Formont; Jean Philippe Ovarlez; Frédéric Pascal 001; Gabriel Vasile; Laurent Ferro-Famil (IGARSS, 2010)

Optimal parameter estimation in heterogeneous clutter for high resolution polarimetric SAR data. - Gabriel Vasile; Frédéric Pascal 001; Jean Philippe Ovarlez; Steeve Zozor; Michel Gay (IGARSS, 2010)

MIMO Radar Detection in Non-Gaussian and Heterogeneous Clutter. - Chin Yuan Chong; Frédéric Pascal 001; Jean Philippe Ovarlez; Marc Lesturgie (IEEE J. Sel. Top. Signal Process., 2010)

The Empirical Likelihood method applied to covariance matrix estimation. - Frédéric Pascal 001; Hugo Harari-Kermadec; Pascal Larzabal (Signal Process., 2010)

Statistical analysis of the covariance matrix MLE in K-distributed clutter. - Frédéric Pascal 001; Alexandre Renaux (Signal Process., 2010)

Coherency Matrix Estimation of Heterogeneous Clutter in High-Resolution Polarimetric SAR Images. - Gabriel Vasile; Jean Philippe Ovarlez; Frédéric Pascal 001; Celine Tison (IEEE Trans. Geosci. Remote. Sens., 2010)

Robust covariance matrix estimates with attractive asymptotic properties. - Mélanie Mahot; Frédéric Pascal 001; Philippe Forster; Jean Philippe Ovarlez (CAMSAP, 2011)

On the extension of the product model in POLSAR processing for unsupervised classification using information geometry of covariance matrices. - Pierre Formont; Jean Philippe Ovarlez; Frédéric Pascal 001; Gabriel Vasile; Laurent Ferro-Famil (IGARSS, 2011)

Robust detection using the SIRV background modelling for hyperspectral imaging. - Jean Philippe Ovarlez; Sze Kim Pang; Frédéric Pascal 001; Véronique Achard; T. K. Ng (IGARSS, 2011)

Heterogeneous clutter model for high resolution polarimetric SAR data processing. - Gabriel Vasile; Frédéric Pascal 001; Jean Philippe Ovarlez; Pierre Formont (IGARSS, 2011)

Statistical Classification for Heterogeneous Polarimetric SAR Images. - Pierre Formont; Frédéric Pascal 001; Gabriel Vasile; Jean Philippe Ovarlez; Laurent Ferro-Famil (IEEE J. Sel. Top. Signal Process., 2011)

Optimal Parameter Estimation in Heterogeneous Clutter for High-Resolution Polarimetric SAR Data. - Gabriel Vasile; Frédéric Pascal 001; Jean Philippe Ovarlez; Pierre Formont; Michel Gay (IEEE Geosci. Remote. Sens. Lett., 2011)

Persymmetric Adaptive Radar Detectors. - Guilhem Pailloux; Philippe Forster; Jean Philippe Ovarlez; Frédéric Pascal 001 (IEEE Trans. Aerosp. Electron. Syst., 2011)

STAP à rang réduit, robuste et persymétrique. - Guillaume Ginolhac; Philippe Forster; Jean Philippe Ovarlez; Frédéric Pascal 001 (Traitement du Signal, 2011)

Traitement STAP et modélisation SIRV : robustesse et persymétrie. - Jean Philippe Ovarlez; Frédéric Pascal 001; Philippe Forster; Guillaume Ginolhac; Mélanie Mahot (Traitement du Signal, 2011)

A new tool for multidimensional low-rank STAP filter: Cross HOSVDs. - Maxime Boizard; Guillaume Ginolhac; Frédéric Pascal 001; Philippe Forster (EUSIPCO, 2012)

Performance of the maximum likelihood estimators for the parameters of multivariate generalized Gaussian distributions. - Lionel Bombrun; Frédéric Pascal 001; Jean-Yves Tourneret; Yannick Berthoumieu (ICASSP, 2012)

Low Rank Tensor STAP filter based on multilinear SVD. - Maxime Boizard; Guillaume Ginolhac; Frédéric Pascal 001; Philippe Forster (SAM, 2012)

Robust ANMF test using Huber's M-estimator. - Mélanie Mahot; Frédéric Pascal 001; Philippe Forster; Jean Philippe Ovarlez (SAM, 2012)

A class of robust estimates for detection in hyperspectral images using elliptical distributions background. - Joana Frontera-Pons; Mélanie Mahot; Jean Philippe Ovarlez; Frédéric Pascal 001; Sze Kim Pang; Jocelyn Chanussot (IGARSS, 2012)

Robust detection using M-estimators for hyperspectral imaging. - Joana Frontera-Pons; Mélanie Mahot; Jean Philippe Ovarlez; Frédéric Pascal 001; Jocelyn Chanussot (WHISPERS, 2012)

Robust M-Estimation for Array Processing: A Random Matrix Approach - Romain Couillet; Frédéric Pascal 001; Jack W. Silverstein (CoRR, 2012)

Derivation of the Bias of the Normalized Sample Covariance Matrix in a Heterogeneous Noise With Application to Low Rank STAP Filter. - Guillaume Ginolhac; Philippe Forster; Frédéric Pascal 001; Jean Philippe Ovarlez (IEEE Trans. Signal Process., 2012)

Multidimensional low-rank filter based on the AU-HOSVD for MIMO STAP. - Maxime Boizard; Frédéric Brigui; Guillaume Ginolhac; Frédéric Pascal 001; Philippe Forster; Hong-Bo Sun (CAMSAP, 2013)

False-alarm regulation for target detection in hyperspectral imaging. - Joana Frontera-Pons; Frédéric Pascal 001; Jean Philippe Ovarlez (CAMSAP, 2013)

Numerical performance of a tensor MUSIC algorithm based on HOSVD for a mixture of polarized sources. - Maxime Boizard; Guillaume Ginolhac; Frédéric Pascal 001; Sebastian Miron; Philippe Forster (EUSIPCO, 2013)

Maximum likelihood estimation of clutter subspace in non homogeneous noise context. - Arnaud Breloy; Luc Le Magoarou; Guillaume Ginolhac; Frédéric Pascal 001; Philippe Forster (EUSIPCO, 2013)

Random matrix theory applied to low rank stap detection. - Alice Combernoux; Frédéric Pascal 001; Guillaume Ginolhac; Marc Lesturgie (EUSIPCO, 2013)

A joint robust estimation and random matrix framework with application to array processing. - Romain Couillet; Frédéric Pascal 001; Jack W. Silverstein (ICASSP, 2013)

CFAR hierarchical clustering of polarimetric SAR data. - Pierre Formont; Miguel Angel Veganzones; Joana Frontera-Pons; Frédéric Pascal 001; Jean Philippe Ovarlez; Jocelyn Chanussot (IGARSS, 2013)

Performance analysis of robust detectors for hyperspectral imaging. - Joana Frontera-Pons; Jean Philippe Ovarlez; Frédéric Pascal 001; Jocelyn Chanussot (IGARSS, 2013)

Parameter Estimation For Multivariate Generalized Gaussian Distributions. - Frédéric Pascal 001; Lionel Bombrun; Jean-Yves Tourneret; Yannick Berthoumieu (IEEE Trans. Signal Process., 2013)

Performance of Two Low-Rank STAP Filters in a Heterogeneous Noise. - Guillaume Ginolhac; Philippe Forster; Frédéric Pascal 001; Jean Philippe Ovarlez (IEEE Trans. Signal Process., 2013)

Asymptotic Properties of Robust Complex Covariance Matrix Estimates. - Mélanie Mahot; Frédéric Pascal 001; Philippe Forster; Jean Philippe Ovarlez (IEEE Trans. Signal Process., 2013)

Robust estimation of the clutter subspace for a Low Rank heterogeneous noise under high Clutter to Noise Ratio assumption. - Arnaud Breloy; Guillaume Ginolhac; Frédéric Pascal 001; Philippe Forster (ICASSP, 2014)

A multivariate statistical model for multiple images acquired by homogeneous or heterogeneous sensors. - Jorge Prendes; Marie Chabert; Frédéric Pascal 001; Alain Giros; Jean-Yves Tourneret (ICASSP, 2014)

Binary partition trees-based robust adaptive hyperspectral RX anomaly detection. - Miguel Angel Veganzones; Joana Frontera-Pons; Frédéric Pascal 001; Jean Philippe Ovarlez; Jocelyn Chanussot (ICIP, 2014)

CFAR property and robustness of the lowrank adaptive normalized matched filters detectors in low rank compound gaussian context. - Arnaud Breloy; Guillaume Ginolhac; Frédéric Pascal 001; Philippe Forster (SAM, 2014)

Robust anomaly detection in Hyperspectral Imaging. - Joana Frontera-Pons; Miguel Angel Veganzones; Santiago Velasco-Forero; Frédéric Pascal 001; Jean Philippe Ovarlez; Jocelyn Chanussot (IGARSS, 2014)

Shrinkage covariance matrix estimator applied to STAP detection. - Frédéric Pascal 001; Yacine Chitour (SSP, 2014)

Robust M-estimator of scatter for large elliptical samples. - Romain Couillet; Frédéric Pascal 001 (SSP, 2014)

Low-rank filter and detector for multidimensional data based on an alternative unfolding HOSVD: application to polarimetric STAP. - Maxime Boizard; Guillaume Ginolhac; Frédéric Pascal 001; Philippe Forster (EURASIP J. Adv. Signal Process., 2014)

Exploiting persymmetry for low-rank Space Time Adaptive Processing. - Guillaume Ginolhac; Philippe Forster; Frédéric Pascal 001; Jean Philippe Ovarlez (Signal Process., 2014)

Robust Estimates of Covariance Matrices in the Large Dimensional Regime. - Romain Couillet; Frédéric Pascal 001; Jack W. Silverstein (IEEE Trans. Inf. Theory, 2014)

Generalized Robust Shrinkage Estimator and Its Application to STAP Detection Problem. - Frédéric Pascal 001; Yacine Chitour; Yihui Quek (IEEE Trans. Signal Process., 2014)

RMT for whitening space correlation and applications to radar detection. - Romain Couillet; Maria Sabrina Greco; Jean Philippe Ovarlez; Frédéric Pascal 001 (CAMSAP, 2015)

Asymptotic detection performance analysis of the robust Adaptive Normalized Matched Filter. - Jean Philippe Ovarlez; Frédéric Pascal 001; Arnaud Breloy (CAMSAP, 2015)

Anomaly detection and estimation in hyperspectral imaging using Random Matrix Theory tools. - Eugénie Terreaux; Jean Philippe Ovarlez; Frédéric Pascal 001 (CAMSAP, 2015)

Asymptotic detection performance of the robust ANMF. - Frédéric Pascal 001; Jean Philippe Ovarlez (EUSIPCO, 2015)

Asymptotic properties of the robust ANMF. - Frédéric Pascal 001; Jean Philippe Ovarlez (ICASSP, 2015)

Asymptotic performance of the Low Rank Adaptive Normalized Matched Filter in a large dimensional regime. - Alice Combernoux; Frédéric Pascal 001; Guillaume Ginolhac; Marc Lesturgie (ICASSP, 2015)

Second order statistics of bilinear forms of robust scatter estimators. - Abla Kammoun; Romain Couillet; Frédéric Pascal 001 (ICASSP, 2015)

Change detection for optical and radar images using a Bayesian nonparametric model coupled with a Markov random field. - Jorge Prendes; Marie Chabert; Frédéric Pascal 001; Alain Giros; Jean-Yves Tourneret (ICASSP, 2015)

Optimal Design of the Adaptive Normalized Matched Filter Detector. - Abla Kammoun; Romain Couillet; Frédéric Pascal 001; Mohamed-Slim Alouini (CoRR, 2015)

The random matrix regime of Maronna's M-estimator with elliptically distributed samples. - Romain Couillet; Frédéric Pascal 001; Jack W. Silverstein (J. Multivar. Anal., 2015)

On the Convergence of Maronna's M-Estimators of Scatter. - Yacine Chitour; Romain Couillet; Frédéric Pascal 001 (IEEE Signal Process. Lett., 2015)

A New Multivariate Statistical Model for Change Detection in Images Acquired by Homogeneous and Heterogeneous Sensors. - Jorge Prendes; Marie Chabert; Frédéric Pascal 001; Alain Giros; Jean-Yves Tourneret (IEEE Trans. Image Process., 2015)

Clutter Subspace Estimation in Low Rank Heterogeneous Noise Context. - Arnaud Breloy; Guillaume Ginolhac; Frédéric Pascal 001; Philippe Forster (IEEE Trans. Signal Process., 2015)

New properties for Tyler's covariance matrix estimator. - Gordana Draskovic; Frédéric Pascal 001 (ACSSC, 2016)

A robust signal subspace estimator. - Arnaud Breloy; Ying Sun 003; Prabhu Babu; Guillaume Ginolhac; Daniel Pérez Palomar; Frédéric Pascal 001 (SSP, 2016)

Optimal adaptive normalized matched filter for large antenna arrays. - Abla Kammoun; Romain Couillet; Frédéric Pascal 001; Mohamed-Slim Alouini (SSP, 2016)

Second order statistics of robust estimators of scatter. Application to GLRT detection for elliptical signals. - Romain Couillet; Abla Kammoun; Frédéric Pascal 001 (J. Multivar. Anal., 2016)

A Bayesian Nonparametric Model Coupled with a Markov Random Field for Change Detection in Heterogeneous Remote Sensing Images. - Jorge Prendes; Marie Chabert; Frédéric Pascal 001; Alain Giros; Jean-Yves Tourneret (SIAM J. Imaging Sci., 2016)

Hyperspectral Anomaly Detectors Using Robust Estimators. - Joana Frontera-Pons; Miguel Angel Veganzones; Frédéric Pascal 001; Jean Philippe Ovarlez (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016)

Théorie des matrices aléatoires robustes et applications à la détection radar. - Frédéric Pascal 001; Abla Kammoun (Traitement du Signal, 2016)

Robust Covariance Matrix Estimation in Heterogeneous Low Rank Context. - Arnaud Breloy; Guillaume Ginolhac; Frédéric Pascal 001; Philippe Forster (IEEE Trans. Signal Process., 2016)

Convergence and Fluctuations of Regularized Tyler Estimators. - Abla Kammoun; Romain Couillet; Frédéric Pascal 001; Mohamed-Slim Alouini (IEEE Trans. Signal Process., 2016)

Low-Complexity Algorithms for Low Rank Clutter Parameters Estimation in Radar Systems. - Ying Sun 003; Arnaud Breloy; Prabhu Babu; Daniel P. Palomar; Frédéric Pascal 001; Guillaume Ginolhac (IEEE Trans. Signal Process., 2016)

Deep robust regression. - Tzvi Diskin; Gordana Draskovic; Frédéric Pascal 001; Ami Wiesel (CAMSAP, 2017)

New model order selection in large dimension regime for complex elliptically symmetric noise. - Eugénie Terreaux; Jean Philippe Ovarlez; Frédéric Pascal 001 (EUSIPCO, 2017)

New asymptotic properties for the robust ANMF. - Gordana Draskovic; Frédéric Pascal 001; Arnaud Breloy; Jean-Yves Tourneret (ICASSP, 2017)

A bias-compensated MUSIC for small number of samples. - François Vincent; Frédéric Pascal 001; Olivier Besson (Signal Process., 2017)

Robust ANMF Detection in Noncentered Impulsive Background. - Joana Frontera-Pons; Jean Philippe Ovarlez; Frédéric Pascal 001 (IEEE Signal Process. Lett., 2017)

Adaptive Nonzero-Mean Gaussian Detection. - Joana Frontera-Pons; Frédéric Pascal 001; Jean Philippe Ovarlez (IEEE Trans. Geosci. Remote. Sens., 2017)

Improving Portfolios Global Performance with Robust Covariance Matrix Estimation: Application to the Maximum Variety Portfolio. - Emmanuelle Jay; Eugénie Terreaux; Jean Philippe Ovarlez; Frédéric Pascal 001 (EUSIPCO, 2018)

A Toeplitz-Tyler Estimation of the Model Order in Large Dimensional Regime. - Eugénie Terreaux; Jean Philippe Ovarlez; Frédéric Pascal 001 (ICASSP, 2018)

New Low-Rank Filters for MIMO-STAP Based on an Orthogonal Tensorial Decomposition. - Frédéric Brigui; Maxime Boizard; Guillaume Ginolhac; Frédéric Pascal 001 (IEEE Trans. Aerosp. Electron. Syst., 2018)

Optimal Design of the Adaptive Normalized Matched Filter Detector Using Regularized Tyler Estimators. - Abla Kammoun; Romain Couillet; Frédéric Pascal 001; Mohamed-Slim Alouini (IEEE Trans. Aerosp. Electron. Syst., 2018)

New Insights Into the Statistical Properties of M-Estimators. - Gordana Draskovic; Frédéric Pascal 001 (IEEE Trans. Signal Process., 2018)

Spectral Shrinkage of Tyler's $M$-Estimator of Covariance Matrix. - Arnaud Breloy; Esa Ollila; Frédéric Pascal 001 (CAMSAP, 2019)

A new clustering algorithm for PolSAR images segmentation. - Violeta Roizman; Gordana Draskovic; Frédéric Pascal 001 (CAMSAP, 2019)

Performance Analysis of a Low-Rank Detector Under Training Data Contamination. - Pascal Vallet; Guillaume Ginolhac; Frédéric Pascal 001; Philippe Forster (CAMSAP, 2019)

Fusing Eigenvalues. - Shahab Basiri; Esa Ollila; Gordana Draskovic; Frédéric Pascal 001 (ICASSP, 2019)

An Improved Low Rank Detector in the High Dimensional Regime. - Pascal Vallet; Guillaume Ginolhac; Frédéric Pascal 001; Philippe Forster (ICASSP, 2019)

$M$ -NL: Robust NL-Means Approach for PolSAR Images Denoising. - Gordana Draskovic; Frédéric Pascal 001; Florence Tupin (IEEE Geosci. Remote. Sens. Lett., 2019)

Performance of the Low-Rank Adaptive Normalized Matched Filter Test Under a Large Dimension Regime. - Alice Combernoux; Frédéric Pascal 001; Guillaume Ginolhac (IEEE Trans. Aerosp. Electron. Syst., 2019)

Theoretical Performance of Low Rank Adaptive Filters in the Large Dimensional Regime. - Alice Combernoux; Frédéric Pascal 001; Guillaume Ginolhac; Marc Lesturgie (IEEE Trans. Aerosp. Electron. Syst., 2019)

On the Asymptotics of Maronna's Robust PCA. - Gordana Draskovic; Arnaud Breloy; Frédéric Pascal 001 (IEEE Trans. Signal Process., 2019)

Properties of a new R-estimator of shape matrices. - Stefano Fortunati; Alexandre Renaux; Frédéric Pascal 001 (EUSIPCO, 2020)

Robust clustering and outlier rejection using the Mahalanobis distance distribution. - Violeta Roizman; Matthieu Jonckheere; Frédéric Pascal 001 (EUSIPCO, 2020)

Riemannian Framework for Robust Covariance Matrix Estimation in Spiked Models. - Florent Bouchard; Arnaud Breloy; Guillaume Ginolhac; Frédéric Pascal 001 (ICASSP, 2020)

M-Estimators of Scatter with Eigenvalue Shrinkage. - Esa Ollila; Daniel P. Palomar; Frédéric Pascal 001 (ICASSP, 2020)

Robust Semiparametric Joint Estimators of Location and Scatter in Elliptical Distributions. - Stefano Fortunati; Alexandre Renaux; Frédéric Pascal 001 (MLSP, 2020)

On the performance of robust plug-in detectors using M-estimators. - Gordana Draskovic; Arnaud Breloy; Frédéric Pascal 001 (Signal Process., 2020)

Improving portfolios global performance using a cleaned and robust covariance matrix estimate. - Emmanuelle Jay; Thibault Soler; Eugénie Terreaux; Jean Philippe Ovarlez; Frédéric Pascal 001; Philippe de Peretti; Christophe Chorro (Soft Comput., 2020)

Robust Semiparametric Efficient Estimators in Complex Elliptically Symmetric Distributions. - Stefano Fortunati; Alexandre Renaux; Frédéric Pascal 001 (IEEE Trans. Signal Process., 2020)

Improved estimation of the degree of freedom parameter of multivariate $t$-distribution. - Frédéric Pascal 001; Esa Ollila; Daniel P. Palomar (EUSIPCO, 2021)

On Change Detection for Polsar Image Time Series: A New Clustering Approach. - Violeta Roizman; Guillaume Ginolhac; Matthieu Jonckheere; Frédéric Pascal 001 (SSP, 2021)

MIMO filters based on robust rank-constrained Kronecker covariance matrix estimation. - Arnaud Breloy; Guillaume Ginolhac; Yongchan Gao; Frédéric Pascal 001 (Signal Process., 2021)

Special issue on statistical signal processing solutions and advances for data science: Complex, dynamic and large-scale settings. - Michael Muma; Esa Ollila; Frédéric Pascal 001 (Signal Process., 2021)

A Riemannian Framework for Low-Rank Structured Elliptical Models. - Florent Bouchard; Arnaud Breloy; Guillaume Ginolhac; Alexandre Renaux; Frédéric Pascal 001 (IEEE Trans. Signal Process., 2021)

Shrinking the Eigenvalues of M-Estimators of Covariance Matrix. - Esa Ollila; Daniel P. Palomar; Frédéric Pascal 001 (IEEE Trans. Signal Process., 2021)

Riemannian Classification of EEG Signals with Missing Values. - Alexandre Hippert-Ferrer; Ammar Mian; Florent Bouchard; Frédéric Pascal 001 (EUSIPCO, 2022)

RADAR Emitter Classification with Optimal Transport Distances. - Manon Mottier; Gilles Chardon; Frédéric Pascal 001 (EUSIPCO, 2022)

Robust Classification with Flexible Discriminant Analysis in Heterogeneous Data. - Pierre Houdouin; Andrew Wang 004; Matthieu Jonckheere; Frédéric Pascal 001 (ICASSP, 2022)

A Convex Formulation for the Robust Estimation of Multivariate Exponential Power Models. - Nora Ouzir; Jean-Christophe Pesquet; Frédéric Pascal 001 (ICASSP, 2022)

Joint Estimation of Location and Scatter in Complex Elliptically Symmetric Distributions. - Stefano Fortunati; Alexandre Renaux; Frédéric Pascal 001 (J. Signal Process. Syst., 2022)

t-WDA: A novel Discriminant Analysis applied to EEG classification. - Imen Ayadi; Florent Bouchard; Frédéric Pascal 001 (EUSIPCO, 2023)

Elliptical Wishart Distribution: Maximum Likelihood Estimator from Information Geometry. - Imen Ayadi; Florent Bouchard; Frédéric Pascal 001 (ICASSP, 2023)

Regularized EM Algorithm. - Pierre Houdouin; Esa Ollila; Frédéric Pascal 001 (ICASSP, 2023)

PCA-based Multi-Task Learning: a Random Matrix Approach. - Malik Tiomoko; Romain Couillet; Frédéric Pascal 001 (ICML, 2023)

FEMDA: Une méthode de classification robuste et flexible. - Pierre Houdouin; Matthieu Jonckheere; Frédéric Pascal 001 (CoRR, 2023)

Algorithme EM régularisé. - Pierre Houdouin; Matthieu Jonckheere; Frédéric Pascal 001 (CoRR, 2023)

FEMDA: a unified framework for discriminant analysis. - Pierre Houdouin; Matthieu Jonckheere; Frédéric Pascal 001 (CoRR, 2023)

Affine Equivariant Tyler's M-Estimator Applied to Tail Parameter Learning of Elliptical Distributions. - Esa Ollila; Daniel P. Palomar; Frédéric Pascal 001 (IEEE Signal Process. Lett., 2023)

A Robust and Flexible EM Algorithm for Mixtures of Elliptical Distributions with Missing Data. - Florian Mouret; Alexandre Hippert-Ferrer; Frédéric Pascal 001; Jean-Yves Tourneret (IEEE Trans. Signal Process., 2023)

Covariance Matrix Estimation of Texture Correlated Compound-Gaussian Vectors for Adaptive Radar Detection. - Çagatay Candan; Frédéric Pascal 001 (IEEE Trans. Aerosp. Electron. Syst., 2023)

Enhancing the Explainability of Gradient Boosting Classification Through Comparable Samples Selection. - Emilien Boizard; Gilles Chardon; Frédéric Pascal 001 (EUSIPCO, 2024)

Sparse PCA with False Discovery Rate Controlled Variable Selection. - Jasin Machkour; Arnaud Breloy; Michael Muma; Daniel P. Palomar; Frédéric Pascal 001 (ICASSP, 2024)

Random matrix theory improved Fréchet mean of symmetric positive definite matrices. - Florent Bouchard; Ammar Mian; Malik Tiomoko; Guillaume Ginolhac; Frédéric Pascal 001 (ICML, 2024)

Choosing the parameter of the Fermat distance: navigating geometry and noise. - Frédéric Chazal; Laure Ferraris; Pablo Groisman; Matthieu Jonckheere; Frédéric Pascal 001; Facundo Sapienza (Trans. Mach. Learn. Res., 2024)

Convex Parameter Estimation of Perturbed Multivariate Generalized Gaussian Distributions. - Nora Ouzir; Frédéric Pascal 001; Jean-Christophe Pesquet (IEEE Trans. Signal Process., 2024)

A Flexible EM-Like Clustering Algorithm for Noisy Data. - Violeta Roizman; Matthieu Jonckheere; Frédéric Pascal 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Deinterleaving RADAR Emitters With Optimal Transport Distances. - Manon Mottier; Gilles Chardon; Frédéric Pascal 001 (IEEE Trans. Aerosp. Electron. Syst., 2024)

Elliptical Wishart distributions: Information geometry, maximum likelihood estimator, performance analysis and statistical learning. - Imen Ayadi; Florent Bouchard; Frédéric Pascal 001 (Signal Process., 2025)