Frédéric Pascal

154 papers A* 2B 1C 10Misc 23Journal 74Unranked 44

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Elliptical Wishart distributions: Information geometry, maximum likelihood estimator, performance analysis and statistical learning. Signal Process. Imen Ayadi, Florent Bouchard, Frédéric Pascal
2024	J	`jnl`	A Flexible EM-Like Clustering Algorithm for Noisy Data. IEEE Trans. Pattern Anal. Mach. Intell. Violeta Roizman, Matthieu Jonckheere, Frédéric Pascal
2024	J	`jnl`	Choosing the parameter of the Fermat distance: navigating geometry and noise. Trans. Mach. Learn. Res. Frédéric Chazal, Laure Ferraris, Pablo Groisman, Matthieu Jonckheere, Frédéric Pascal, Facundo Sapienza
2024	J	`jnl`	Convex Parameter Estimation of Perturbed Multivariate Generalized Gaussian Distributions. IEEE Trans. Signal Process. Nora Ouzir, Frédéric Pascal, Jean-Christophe Pesquet
2024	J	`jnl`	Deinterleaving RADAR Emitters With Optimal Transport Distances. IEEE Trans. Aerosp. Electron. Syst. Manon Mottier, Gilles Chardon, Frédéric Pascal
2024	J	`jnl`	Elliptical Wishart distributions: information geometry, maximum likelihood estimator, performance analysis and statistical learning. CoRR Imen Ayadi, Florent Bouchard, Frédéric Pascal
2024	—	`conf`	Enhancing the Explainability of Gradient Boosting Classification Through Comparable Samples Selection. EUSIPCO Emilien Boizard, Gilles Chardon, Frédéric Pascal
2024	A*	`conf`	Random matrix theory improved Fréchet mean of symmetric positive definite matrices. ICML Florent Bouchard, Ammar Mian, Malik Tiomoko, Guillaume Ginolhac, Frédéric Pascal
2024	J	`jnl`	Random matrix theory improved Fréchet mean of symmetric positive definite matrices. CoRR Florent Bouchard, Ammar Mian, Malik Tiomoko, Guillaume Ginolhac, Frédéric Pascal
2024	Misc	`conf`	Sparse PCA with False Discovery Rate Controlled Variable Selection. ICASSP Jasin Machkour, Arnaud Breloy, Michael Muma, Daniel P. Palomar, Frédéric Pascal
2024	J	`jnl`	Sparse PCA with False Discovery Rate Controlled Variable Selection. CoRR Jasin Machkour, Arnaud Breloy, Michael Muma, Daniel P. Palomar, Frédéric Pascal
2023	J	`jnl`	A Robust and Flexible EM Algorithm for Mixtures of Elliptical Distributions with Missing Data. IEEE Trans. Signal Process. Florian Mouret, Alexandre Hippert-Ferrer, Frédéric Pascal, Jean-Yves Tourneret
2023	J	`jnl`	Affine Equivariant Tyler's M-Estimator Applied to Tail Parameter Learning of Elliptical Distributions. IEEE Signal Process. Lett. Esa Ollila, Daniel P. Palomar, Frédéric Pascal
2023	J	`jnl`	Algorithme EM régularisé. CoRR Pierre Houdouin, Matthieu Jonckheere, Frédéric Pascal
2023	J	`jnl`	Choosing the parameter of the Fermat distance: navigating geometry and noise. CoRR Frédéric Chazal, Laure Ferraris, Pablo Groisman, Matthieu Jonckheere, Frédéric Pascal, Facundo Sapienza
2023	J	`jnl`	Covariance Matrix Estimation of Texture Correlated Compound-Gaussian Vectors for Adaptive Radar Detection. IEEE Trans. Aerosp. Electron. Syst. Çagatay Candan, Frédéric Pascal
2023	Misc	`conf`	Elliptical Wishart Distribution: Maximum Likelihood Estimator from Information Geometry. ICASSP Imen Ayadi, Florent Bouchard, Frédéric Pascal
2023	J	`jnl`	FEMDA: Une méthode de classification robuste et flexible. CoRR Pierre Houdouin, Matthieu Jonckheere, Frédéric Pascal
2023	J	`jnl`	FEMDA: a unified framework for discriminant analysis. CoRR Pierre Houdouin, Matthieu Jonckheere, Frédéric Pascal
2023	A*	`conf`	PCA-based Multi-Task Learning: a Random Matrix Approach. ICML Malik Tiomoko, Romain Couillet, Frédéric Pascal
2023	Misc	`conf`	Regularized EM Algorithm. ICASSP Pierre Houdouin, Esa Ollila, Frédéric Pascal
2023	J	`jnl`	Regularized EM algorithm. CoRR Pierre Houdouin, Esa Ollila, Frédéric Pascal
2023	—	`conf`	t-WDA: A novel Discriminant Analysis applied to EEG classification. EUSIPCO Imen Ayadi, Florent Bouchard, Frédéric Pascal
2022	Misc	`conf`	A Convex Formulation for the Robust Estimation of Multivariate Exponential Power Models. ICASSP Nora Ouzir, Jean-Christophe Pesquet, Frédéric Pascal
2022	J	`jnl`	A Robust and Flexible EM Algorithm for Mixtures of Elliptical Distributions with Missing Data. CoRR Florian Mouret, Alexandre Hippert-Ferrer, Frédéric Pascal, Jean-Yves Tourneret
2022	J	`jnl`	Joint Estimation of Location and Scatter in Complex Elliptically Symmetric Distributions. J. Signal Process. Syst. Stefano Fortunati, Alexandre Renaux, Frédéric Pascal
2022	—	`conf`	RADAR Emitter Classification with Optimal Transport Distances. EUSIPCO Manon Mottier, Gilles Chardon, Frédéric Pascal
2022	—	`conf`	Riemannian Classification of EEG Signals with Missing Values. EUSIPCO Alexandre Hippert-Ferrer, Ammar Mian, Florent Bouchard, Frédéric Pascal
2022	Misc	`conf`	Robust Classification with Flexible Discriminant Analysis in Heterogeneous Data. ICASSP Pierre Houdouin, Andrew Wang, Matthieu Jonckheere, Frédéric Pascal
2022	J	`jnl`	Robust classification with flexible discriminant analysis in heterogeneous data. CoRR Pierre Houdouin, Frédéric Pascal, Matthieu Jonckheere, Andrew Wang
2021	J	`jnl`	A Riemannian Framework for Low-Rank Structured Elliptical Models. IEEE Trans. Signal Process. Florent Bouchard, Arnaud Breloy, Guillaume Ginolhac, Alexandre Renaux, Frédéric Pascal
2021	—	`conf`	Improved estimation of the degree of freedom parameter of multivariate $t$-distribution. EUSIPCO Frédéric Pascal, Esa Ollila, Daniel P. Palomar
2021	J	`jnl`	MIMO filters based on robust rank-constrained Kronecker covariance matrix estimation. Signal Process. Arnaud Breloy, Guillaume Ginolhac, Yongchan Gao, Frédéric Pascal
2021	—	`conf`	On Change Detection for Polsar Image Time Series: A New Clustering Approach. SSP Violeta Roizman, Guillaume Ginolhac, Matthieu Jonckheere, Frédéric Pascal
2021	J	`jnl`	PCA-based Multi Task Learning: a Random Matrix Approach. CoRR Malik Tiomoko, Romain Couillet, Frédéric Pascal
2021	J	`jnl`	Riemannian classification of EEG signals with missing values. CoRR Alexandre Hippert-Ferrer, Ammar Mian, Florent Bouchard, Frédéric Pascal
2021	J	`jnl`	Shrinking the Eigenvalues of M-Estimators of Covariance Matrix. IEEE Trans. Signal Process. Esa Ollila, Daniel P. Palomar, Frédéric Pascal
2021	J	`jnl`	Special issue on statistical signal processing solutions and advances for data science: Complex, dynamic and large-scale settings. Signal Process. Michael Muma, Esa Ollila, Frédéric Pascal
2020	J	`jnl`	Improving portfolios global performance using a cleaned and robust covariance matrix estimate. Soft Comput. Emmanuelle Jay, Thibault Soler, Eugénie Terreaux, Jean Philippe Ovarlez, Frédéric Pascal, Philippe de Peretti, Christophe Chorro
2020	Misc	`conf`	M-Estimators of Scatter with Eigenvalue Shrinkage. ICASSP Esa Ollila, Daniel P. Palomar, Frédéric Pascal
2020	J	`jnl`	On the performance of robust plug-in detectors using Signal Process. Gordana Draskovic, Arnaud Breloy, Frédéric Pascal
2020	—	`conf`	Properties of a new R-estimator of shape matrices. EUSIPCO Stefano Fortunati, Alexandre Renaux, Frédéric Pascal
2020	Misc	`conf`	Riemannian Framework for Robust Covariance Matrix Estimation in Spiked Models. ICASSP Florent Bouchard, Arnaud Breloy, Guillaume Ginolhac, Frédéric Pascal
2020	J	`jnl`	Robust Semiparametric Efficient Estimators in Complex Elliptically Symmetric Distributions. IEEE Trans. Signal Process. Stefano Fortunati, Alexandre Renaux, Frédéric Pascal
2020	—	`conf`	Robust Semiparametric Joint Estimators of Location and Scatter in Elliptical Distributions. MLSP Stefano Fortunati, Alexandre Renaux, Frédéric Pascal
2020	—	`conf`	Robust clustering and outlier rejection using the Mahalanobis distance distribution. EUSIPCO Violeta Roizman, Matthieu Jonckheere, Frédéric Pascal
2019	J	`jnl`	$M$ -NL: Robust NL-Means Approach for PolSAR Images Denoising. IEEE Geosci. Remote. Sens. Lett. Gordana Draskovic, Frédéric Pascal, Florence Tupin
2019	J	`jnl`	A flexible EM-like clustering algorithm for noisy data. CoRR Violeta Roizman, Matthieu Jonckheere, Frédéric Pascal
2019	—	`conf`	A new clustering algorithm for PolSAR images segmentation. CAMSAP Violeta Roizman, Gordana Draskovic, Frédéric Pascal
2019	Misc	`conf`	An Improved Low Rank Detector in the High Dimensional Regime. ICASSP Pascal Vallet, Guillaume Ginolhac, Frédéric Pascal, Philippe Forster
2019	Misc	`conf`	Fusing Eigenvalues. ICASSP Shahab Basiri, Esa Ollila, Gordana Draskovic, Frédéric Pascal
2019	J	`jnl`	On the Asymptotics of Maronna's Robust PCA. IEEE Trans. Signal Process. Gordana Draskovic, Arnaud Breloy, Frédéric Pascal
2019	—	`conf`	Performance Analysis of a Low-Rank Detector Under Training Data Contamination. CAMSAP Pascal Vallet, Guillaume Ginolhac, Frédéric Pascal, Philippe Forster
2019	J	`jnl`	Performance of the Low-Rank Adaptive Normalized Matched Filter Test Under a Large Dimension Regime. IEEE Trans. Aerosp. Electron. Syst. Alice Combernoux, Frédéric Pascal, Guillaume Ginolhac
2019	—	`conf`	Spectral Shrinkage of Tyler's $M$-Estimator of Covariance Matrix. CAMSAP Arnaud Breloy, Esa Ollila, Frédéric Pascal
2019	J	`jnl`	Theoretical Performance of Low Rank Adaptive Filters in the Large Dimensional Regime. IEEE Trans. Aerosp. Electron. Syst. Alice Combernoux, Frédéric Pascal, Guillaume Ginolhac, Marc Lesturgie
2018	Misc	`conf`	A Toeplitz-Tyler Estimation of the Model Order in Large Dimensional Regime. ICASSP Eugénie Terreaux, Jean Philippe Ovarlez, Frédéric Pascal
2018	—	`conf`	Improving Portfolios Global Performance with Robust Covariance Matrix Estimation: Application to the Maximum Variety Portfolio. EUSIPCO Emmanuelle Jay, Eugénie Terreaux, Jean Philippe Ovarlez, Frédéric Pascal
2018	J	`jnl`	New Insights Into the Statistical Properties of M-Estimators. IEEE Trans. Signal Process. Gordana Draskovic, Frédéric Pascal
2018	J	`jnl`	New Low-Rank Filters for MIMO-STAP Based on an Orthogonal Tensorial Decomposition. IEEE Trans. Aerosp. Electron. Syst. Frédéric Brigui, Maxime Boizard, Guillaume Ginolhac, Frédéric Pascal
2018	J	`jnl`	Optimal Design of the Adaptive Normalized Matched Filter Detector Using Regularized Tyler Estimators. IEEE Trans. Aerosp. Electron. Syst. Abla Kammoun, Romain Couillet, Frédéric Pascal, Mohamed-Slim Alouini
2017	J	`jnl`	A bias-compensated MUSIC for small number of samples. Signal Process. François Vincent, Frédéric Pascal, Olivier Besson
2017	J	`jnl`	Adaptive Nonzero-Mean Gaussian Detection. IEEE Trans. Geosci. Remote. Sens. Joana Frontera-Pons, Frédéric Pascal, Jean Philippe Ovarlez
2017	—	`conf`	Deep robust regression. CAMSAP Tzvi Diskin, Gordana Draskovic, Frédéric Pascal, Ami Wiesel
2017	Misc	`conf`	New asymptotic properties for the robust ANMF. ICASSP Gordana Draskovic, Frédéric Pascal, Arnaud Breloy, Jean-Yves Tourneret
2017	—	`conf`	New model order selection in large dimension regime for complex elliptically symmetric noise. EUSIPCO Eugénie Terreaux, Jean Philippe Ovarlez, Frédéric Pascal
2017	J	`jnl`	Robust ANMF Detection in Noncentered Impulsive Background. IEEE Signal Process. Lett. Joana Frontera-Pons, Jean Philippe Ovarlez, Frédéric Pascal
2016	J	`jnl`	A Bayesian Nonparametric Model Coupled with a Markov Random Field for Change Detection in Heterogeneous Remote Sensing Images. SIAM J. Imaging Sci. Jorge Prendes, Marie Chabert, Frédéric Pascal, Alain Giros, Jean-Yves Tourneret
2016	—	`conf`	A robust signal subspace estimator. SSP Arnaud Breloy, Ying Sun, Prabhu Babu, Guillaume Ginolhac, Daniel Pérez Palomar, Frédéric Pascal
2016	J	`jnl`	Convergence and Fluctuations of Regularized Tyler Estimators. IEEE Trans. Signal Process. Abla Kammoun, Romain Couillet, Frédéric Pascal, Mohamed-Slim Alouini
2016	J	`jnl`	Hyperspectral Anomaly Detectors Using Robust Estimators. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Joana Frontera-Pons, Miguel Angel Veganzones, Frédéric Pascal, Jean Philippe Ovarlez
2016	J	`jnl`	Low-Complexity Algorithms for Low Rank Clutter Parameters Estimation in Radar Systems. IEEE Trans. Signal Process. Ying Sun, Arnaud Breloy, Prabhu Babu, Daniel P. Palomar, Frédéric Pascal, Guillaume Ginolhac
2016	Misc	`conf`	New properties for Tyler's covariance matrix estimator. ACSSC Gordana Draskovic, Frédéric Pascal
2016	—	`conf`	Optimal adaptive normalized matched filter for large antenna arrays. SSP Abla Kammoun, Romain Couillet, Frédéric Pascal, Mohamed-Slim Alouini
2016	J	`jnl`	Robust Covariance Matrix Estimation in Heterogeneous Low Rank Context. IEEE Trans. Signal Process. Arnaud Breloy, Guillaume Ginolhac, Frédéric Pascal, Philippe Forster
2016	J	`jnl`	Second order statistics of robust estimators of scatter. Application to GLRT detection for elliptical signals. J. Multivar. Anal. Romain Couillet, Abla Kammoun, Frédéric Pascal
2016	J	`jnl`	Théorie des matrices aléatoires robustes et applications à la détection radar. Traitement du Signal Frédéric Pascal, Abla Kammoun
2015	J	`jnl`	A New Multivariate Statistical Model for Change Detection in Images Acquired by Homogeneous and Heterogeneous Sensors. IEEE Trans. Image Process. Jorge Prendes, Marie Chabert, Frédéric Pascal, Alain Giros, Jean-Yves Tourneret
2015	—	`conf`	Anomaly detection and estimation in hyperspectral imaging using Random Matrix Theory tools. CAMSAP Eugénie Terreaux, Jean Philippe Ovarlez, Frédéric Pascal
2015	—	`conf`	Asymptotic detection performance analysis of the robust Adaptive Normalized Matched Filter. CAMSAP Jean Philippe Ovarlez, Frédéric Pascal, Arnaud Breloy
2015	—	`conf`	Asymptotic detection performance of the robust ANMF. EUSIPCO Frédéric Pascal, Jean Philippe Ovarlez
2015	Misc	`conf`	Asymptotic performance of the Low Rank Adaptive Normalized Matched Filter in a large dimensional regime. ICASSP Alice Combernoux, Frédéric Pascal, Guillaume Ginolhac, Marc Lesturgie
2015	Misc	`conf`	Asymptotic properties of the robust ANMF. ICASSP Frédéric Pascal, Jean Philippe Ovarlez
2015	Misc	`conf`	Change detection for optical and radar images using a Bayesian nonparametric model coupled with a Markov random field. ICASSP Jorge Prendes, Marie Chabert, Frédéric Pascal, Alain Giros, Jean-Yves Tourneret
2015	J	`jnl`	Clutter Subspace Estimation in Low Rank Heterogeneous Noise Context. IEEE Trans. Signal Process. Arnaud Breloy, Guillaume Ginolhac, Frédéric Pascal, Philippe Forster
2015	J	`jnl`	Convergence and Fluctuations of Regularized Tyler Estimators. CoRR Abla Kammoun, Romain Couillet, Frédéric Pascal, Mohamed-Slim Alouini
2015	J	`jnl`	On the Convergence of Maronna's M-Estimators of Scatter. IEEE Signal Process. Lett. Yacine Chitour, Romain Couillet, Frédéric Pascal
2015	J	`jnl`	Optimal Design of the Adaptive Normalized Matched Filter Detector. CoRR Abla Kammoun, Romain Couillet, Frédéric Pascal, Mohamed-Slim Alouini
2015	—	`conf`	RMT for whitening space correlation and applications to radar detection. CAMSAP Romain Couillet, Maria Sabrina Greco, Jean Philippe Ovarlez, Frédéric Pascal
2015	Misc	`conf`	Second order statistics of bilinear forms of robust scatter estimators. ICASSP Abla Kammoun, Romain Couillet, Frédéric Pascal
2015	J	`jnl`	The random matrix regime of Maronna's M-estimator with elliptically distributed samples. J. Multivar. Anal. Romain Couillet, Frédéric Pascal, Jack W. Silverstein
2014	Misc	`conf`	A multivariate statistical model for multiple images acquired by homogeneous or heterogeneous sensors. ICASSP Jorge Prendes, Marie Chabert, Frédéric Pascal, Alain Giros, Jean-Yves Tourneret
2014	B	`conf`	Binary partition trees-based robust adaptive hyperspectral RX anomaly detection. ICIP Miguel Angel Veganzones, Joana Frontera-Pons, Frédéric Pascal, Jean Philippe Ovarlez, Jocelyn Chanussot
2014	—	`conf`	CFAR property and robustness of the lowrank adaptive normalized matched filters detectors in low rank compound gaussian context. SAM Arnaud Breloy, Guillaume Ginolhac, Frédéric Pascal, Philippe Forster
2014	J	`jnl`	Exploiting persymmetry for low-rank Space Time Adaptive Processing. Signal Process. Guillaume Ginolhac, Philippe Forster, Frédéric Pascal, Jean Philippe Ovarlez
2014	J	`jnl`	Generalized Robust Shrinkage Estimator and Its Application to STAP Detection Problem. IEEE Trans. Signal Process. Frédéric Pascal, Yacine Chitour, Yihui Quek
2014	J	`jnl`	Low-rank filter and detector for multidimensional data based on an alternative unfolding HOSVD: application to polarimetric STAP. EURASIP J. Adv. Signal Process. Maxime Boizard, Guillaume Ginolhac, Frédéric Pascal, Philippe Forster
2014	J	`jnl`	Robust Estimates of Covariance Matrices in the Large Dimensional Regime. IEEE Trans. Inf. Theory Romain Couillet, Frédéric Pascal, Jack W. Silverstein
2014	—	`conf`	Robust M-estimator of scatter for large elliptical samples. SSP Romain Couillet, Frédéric Pascal
2014	C	`conf`	Robust anomaly detection in Hyperspectral Imaging. IGARSS Joana Frontera-Pons, Miguel Angel Veganzones, Santiago Velasco-Forero, Frédéric Pascal, Jean Philippe Ovarlez, Jocelyn Chanussot
2014	Misc	`conf`	Robust estimation of the clutter subspace for a Low Rank heterogeneous noise under high Clutter to Noise Ratio assumption. ICASSP Arnaud Breloy, Guillaume Ginolhac, Frédéric Pascal, Philippe Forster
2014	—	`conf`	Shrinkage covariance matrix estimator applied to STAP detection. SSP Frédéric Pascal, Yacine Chitour
2013	Misc	`conf`	A joint robust estimation and random matrix framework with application to array processing. ICASSP Romain Couillet, Frédéric Pascal, Jack W. Silverstein
2013	J	`jnl`	Asymptotic Properties of Robust Complex Covariance Matrix Estimates. IEEE Trans. Signal Process. Mélanie Mahot, Frédéric Pascal, Philippe Forster, Jean Philippe Ovarlez
2013	C	`conf`	CFAR hierarchical clustering of polarimetric SAR data. IGARSS Pierre Formont, Miguel Angel Veganzones, Joana Frontera-Pons, Frédéric Pascal, Jean Philippe Ovarlez, Jocelyn Chanussot
2013	—	`conf`	False-alarm regulation for target detection in hyperspectral imaging. CAMSAP Joana Frontera-Pons, Frédéric Pascal, Jean Philippe Ovarlez
2013	—	`conf`	Maximum likelihood estimation of clutter subspace in non homogeneous noise context. EUSIPCO Arnaud Breloy, Luc Le Magoarou, Guillaume Ginolhac, Frédéric Pascal, Philippe Forster
2013	—	`conf`	Multidimensional low-rank filter based on the AU-HOSVD for MIMO STAP. CAMSAP Maxime Boizard, Frédéric Brigui, Guillaume Ginolhac, Frédéric Pascal, Philippe Forster, Hong-Bo Sun
2013	—	`conf`	Numerical performance of a tensor MUSIC algorithm based on HOSVD for a mixture of polarized sources. EUSIPCO Maxime Boizard, Guillaume Ginolhac, Frédéric Pascal, Sebastian Miron, Philippe Forster
2013	J	`jnl`	Parameter Estimation For Multivariate Generalized Gaussian Distributions. IEEE Trans. Signal Process. Frédéric Pascal, Lionel Bombrun, Jean-Yves Tourneret, Yannick Berthoumieu
2013	C	`conf`	Performance analysis of robust detectors for hyperspectral imaging. IGARSS Joana Frontera-Pons, Jean Philippe Ovarlez, Frédéric Pascal, Jocelyn Chanussot
2013	J	`jnl`	Performance of Two Low-Rank STAP Filters in a Heterogeneous Noise. IEEE Trans. Signal Process. Guillaume Ginolhac, Philippe Forster, Frédéric Pascal, Jean Philippe Ovarlez
2013	—	`conf`	Random matrix theory applied to low rank stap detection. EUSIPCO Alice Combernoux, Frédéric Pascal, Guillaume Ginolhac, Marc Lesturgie
2012	C	`conf`	A class of robust estimates for detection in hyperspectral images using elliptical distributions background. IGARSS Joana Frontera-Pons, Mélanie Mahot, Jean Philippe Ovarlez, Frédéric Pascal, Sze Kim Pang, Jocelyn Chanussot
2012	—	`conf`	A new tool for multidimensional low-rank STAP filter: Cross HOSVDs. EUSIPCO Maxime Boizard, Guillaume Ginolhac, Frédéric Pascal, Philippe Forster
2012	J	`jnl`	Derivation of the Bias of the Normalized Sample Covariance Matrix in a Heterogeneous Noise With Application to Low Rank STAP Filter. IEEE Trans. Signal Process. Guillaume Ginolhac, Philippe Forster, Frédéric Pascal, Jean Philippe Ovarlez
2012	—	`conf`	Exploiting persymmetry for Low-Rank Space Time Adaptive Processing. EUSIPCO Guillaume Ginolhac, Philippe Forster, Frédéric Pascal, Jean Philippe Ovarlez
2012	—	`conf`	Low Rank Tensor STAP filter based on multilinear SVD. SAM Maxime Boizard, Guillaume Ginolhac, Frédéric Pascal, Philippe Forster
2012	Misc	`conf`	Performance of the maximum likelihood estimators for the parameters of multivariate generalized Gaussian distributions. ICASSP Lionel Bombrun, Frédéric Pascal, Jean-Yves Tourneret, Yannick Berthoumieu
2012	—	`conf`	Robust ANMF test using Huber's M-estimator. SAM Mélanie Mahot, Frédéric Pascal, Philippe Forster, Jean Philippe Ovarlez
2012	J	`jnl`	Robust M-Estimation for Array Processing: A Random Matrix Approach CoRR Romain Couillet, Frédéric Pascal, Jack W. Silverstein
2012	—	`conf`	Robust detection using M-estimators for hyperspectral imaging. WHISPERS Joana Frontera-Pons, Mélanie Mahot, Jean Philippe Ovarlez, Frédéric Pascal, Jocelyn Chanussot
2011	C	`conf`	Heterogeneous clutter model for high resolution polarimetric SAR data processing. IGARSS Gabriel Vasile, Frédéric Pascal, Jean Philippe Ovarlez, Pierre Formont
2011	C	`conf`	On the extension of the product model in POLSAR processing for unsupervised classification using information geometry of covariance matrices. IGARSS Pierre Formont, Jean Philippe Ovarlez, Frédéric Pascal, Gabriel Vasile, Laurent Ferro-Famil
2011	J	`jnl`	Optimal Parameter Estimation in Heterogeneous Clutter for High-Resolution Polarimetric SAR Data. IEEE Geosci. Remote. Sens. Lett. Gabriel Vasile, Frédéric Pascal, Jean Philippe Ovarlez, Pierre Formont, Michel Gay
2011	J	`jnl`	Persymmetric Adaptive Radar Detectors. IEEE Trans. Aerosp. Electron. Syst. Guilhem Pailloux, Philippe Forster, Jean Philippe Ovarlez, Frédéric Pascal
2011	—	`conf`	Robust covariance matrix estimates with attractive asymptotic properties. CAMSAP Mélanie Mahot, Frédéric Pascal, Philippe Forster, Jean Philippe Ovarlez
2011	C	`conf`	Robust detection using the SIRV background modelling for hyperspectral imaging. IGARSS Jean Philippe Ovarlez, Sze Kim Pang, Frédéric Pascal, Véronique Achard, T. K. Ng
2011	J	`jnl`	STAP à rang réduit, robuste et persymétrique. Traitement du Signal Guillaume Ginolhac, Philippe Forster, Jean Philippe Ovarlez, Frédéric Pascal
2011	J	`jnl`	Statistical Classification for Heterogeneous Polarimetric SAR Images. IEEE J. Sel. Top. Signal Process. Pierre Formont, Frédéric Pascal, Gabriel Vasile, Jean Philippe Ovarlez, Laurent Ferro-Famil
2011	J	`jnl`	Traitement STAP et modélisation SIRV : robustesse et persymétrie. Traitement du Signal Jean Philippe Ovarlez, Frédéric Pascal, Philippe Forster, Guillaume Ginolhac, Mélanie Mahot
2010	C	`conf`	A test statistic for high resolution polarimetric SAR data classification. IGARSS Pierre Formont, Jean Philippe Ovarlez, Frédéric Pascal, Gabriel Vasile, Laurent Ferro-Famil
2010	J	`jnl`	Coherency Matrix Estimation of Heterogeneous Clutter in High-Resolution Polarimetric SAR Images. IEEE Trans. Geosci. Remote. Sens. Gabriel Vasile, Jean Philippe Ovarlez, Frédéric Pascal, Celine Tison
2010	J	`jnl`	MIMO Radar Detection in Non-Gaussian and Heterogeneous Clutter. IEEE J. Sel. Top. Signal Process. Chin Yuan Chong, Frédéric Pascal, Jean Philippe Ovarlez, Marc Lesturgie
2010	C	`conf`	Optimal parameter estimation in heterogeneous clutter for high resolution polarimetric SAR data. IGARSS Gabriel Vasile, Frédéric Pascal, Jean Philippe Ovarlez, Steeve Zozor, Michel Gay
2010	—	`conf`	Properties of robust MIMO detector. EUSIPCO C. Y. Chong, Frédéric Pascal, Jean Philippe Ovarlez, Marc Lesturgie
2010	Misc	`conf`	Robust MIMO radar detection for correlated subarrays. ICASSP Chin Yuan Chong, Frédéric Pascal, Jean Philippe Ovarlez, Marc Lesturgie
2010	—	`conf`	Robustness analysis of covariance matrix estimates. EUSIPCO Mélanie Mahot, Philippe Forster, Jean Philippe Ovarlez, Frédéric Pascal
2010	C	`conf`	Roll invariant target detection based on PolSAR clutter models. IGARSS Lionel Bombrun, Gabriel Vasile, Michel Gay, Jean Philippe Ovarlez, Frédéric Pascal
2010	J	`jnl`	Statistical analysis of the covariance matrix MLE in K-distributed clutter. Signal Process. Frédéric Pascal, Alexandre Renaux
2010	J	`jnl`	The Empirical Likelihood method applied to covariance matrix estimation. Signal Process. Frédéric Pascal, Hugo Harari-Kermadec, Pascal Larzabal
2009	—	`conf`	Estimation and Segmentation in Non-Gaussian POLSAR Clutter by SIRV Stochastic Processes. IGARSS (3) Gabriel Vasile, Jean Philippe Ovarlez, Frédéric Pascal
2009	—	`conf`	Hierarchical Segmentation of Polarimetric SAR Images using Heterogeneous Clutter Models. IGARSS (3) Lionel Bombrun, Jean-Marie Beaulieu, Gabriel Vasile, Jean Philippe Ovarlez, Frédéric Pascal, Michel Gay
2009	Misc	`conf`	Spatio-temporal adaptive detector in non-homogeneous and low-rank clutter. ICASSP Guillaume Ginolhac, Philippe Forster, Jean Philippe Ovarlez, Frédéric Pascal
2008	—	`conf`	An empirical likelihood method for data aided channel identification in unknown noise field. EUSIPCO Frédéric Pascal, Jean-Pierre Barbot, Hugo Harari-Kermadec, Ricardo Suyama, Pascal Larzabal
2008	J	`jnl`	Covariance Structure Maximum-Likelihood Estimates in Compound Gaussian Noise: Existence and Algorithm Analysis. IEEE Trans. Signal Process. Frédéric Pascal, Yacine Chitour, Jean Philippe Ovarlez, Philippe Forster, Pascal Larzabal
2008	J	`jnl`	Exact Maximum Likelihood Estimates for SIRV Covariance Matrix: Existence and Algorithm Analysis. IEEE Trans. Signal Process. Yacine Chitour, Frédéric Pascal
2008	—	`conf`	Normalized Coherency Matrix Estimation Under the SIRV Model. Alpine Glacier Polsar Data Analysis. IGARSS (1) Gabriel Vasile, Jean Philippe Ovarlez, Frédéric Pascal, Celine Tison, Lionel Bombrun, Michel Gay, Emmanuel Trouvé
2008	Misc	`conf`	On persymmetric covariance matrices in adaptive detection. ICASSP Guilhem Pailloux, Philippe Forster, Jean Philippe Ovarlez, Frédéric Pascal
2008	J	`jnl`	Performance Analysis of Covariance Matrix Estimates in Impulsive Noise. IEEE Trans. Signal Process. Frédéric Pascal, Philippe Forster, Jean Philippe Ovarlez, Pascal Larzabal
2007	J	`jnl`	First- and Second-Order Moments of the Normalized Sample Covariance Matrix of Spherically Invariant Random Vectors. IEEE Signal Process. Lett. Sébastien Bausson, Frédéric Pascal, Philippe Forster, Jean Philippe Ovarlez, Pascal Larzabal
2006	—	`conf`	On a SIRV-CFAR detector with radar experimentations in impulsive clutter. EUSIPCO Frédéric Pascal, Jean Philippe Ovarlez, Philippe Forster, Pascal Larzabal
2005	—	`conf`	Theoretical analysis of an improved covariance matrix estimator in non-Gaussian noise [radar detection applications]. ICASSP (4) Frédéric Pascal, Philippe Forster, Jean Philippe Ovarlez, Pascal Larzabal
2004	—	`conf`	Constant false alarm rate detection in Spherically Invariant Random Processes. EUSIPCO Frédéric Pascal, Jean Philippe Ovarlez, Philippe Forster, Pascal Larzabal