Frédéric Pascal

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 72

Top Venues

ICASSP

CoRR

IEEE Trans. Signal Process.

EUSIPCO

Publications

Jasin Machkour, Arnaud Breloy, Michael Muma, Daniel P. Palomar, Frédéric Pascal
Sparse PCA with False Discovery Rate Controlled Variable Selection. ICASSP (2024)
Manon Mottier, Gilles Chardon, Frédéric Pascal
Deinterleaving RADAR Emitters With Optimal Transport Distances. IEEE Trans. Aerosp. Electron. Syst. 60 (3) (2024)
Frédéric Chazal, Laure Ferraris, Pablo Groisman, Matthieu Jonckheere, Frédéric Pascal, Facundo Sapienza
Choosing the parameter of the Fermat distance: navigating geometry and noise. Trans. Mach. Learn. Res. 2024 (2024)
Florent Bouchard, Ammar Mian, Malik Tiomoko, Guillaume Ginolhac, Frédéric Pascal
Random matrix theory improved Fréchet mean of symmetric positive definite matrices. CoRR (2024)
Violeta Roizman, Matthieu Jonckheere, Frédéric Pascal
A Flexible EM-Like Clustering Algorithm for Noisy Data. IEEE Trans. Pattern Anal. Mach. Intell. 46 (5) (2024)
Jasin Machkour, Arnaud Breloy, Michael Muma, Daniel P. Palomar, Frédéric Pascal
Sparse PCA with False Discovery Rate Controlled Variable Selection. CoRR (2024)
Imen Ayadi, Florent Bouchard, Frédéric Pascal
t-WDA: A novel Discriminant Analysis applied to EEG classification. EUSIPCO (2023)
Imen Ayadi, Florent Bouchard, Frédéric Pascal
Elliptical Wishart Distribution: Maximum Likelihood Estimator from Information Geometry. ICASSP (2023)
Pierre Houdouin, Esa Ollila, Frédéric Pascal
Regularized EM algorithm. CoRR (2023)
Pierre Houdouin, Esa Ollila, Frédéric Pascal
Regularized EM Algorithm. ICASSP (2023)
Pierre Houdouin, Matthieu Jonckheere, Frédéric Pascal
Algorithme EM régularisé. CoRR (2023)
Pierre Houdouin, Matthieu Jonckheere, Frédéric Pascal
FEMDA: a unified framework for discriminant analysis. CoRR (2023)
Frédéric Chazal, Laure Ferraris, Pablo Groisman, Matthieu Jonckheere, Frédéric Pascal, Facundo Sapienza
Choosing the parameter of the Fermat distance: navigating geometry and noise. CoRR (2023)
Çagatay Candan, Frédéric Pascal
Covariance Matrix Estimation of Texture Correlated Compound-Gaussian Vectors for Adaptive Radar Detection. IEEE Trans. Aerosp. Electron. Syst. 59 (3) (2023)
Malik Tiomoko, Romain Couillet, Frédéric Pascal
PCA-based Multi-Task Learning: a Random Matrix Approach. ICML (2023)
Florian Mouret, Alexandre Hippert-Ferrer, Frédéric Pascal, Jean-Yves Tourneret
A Robust and Flexible EM Algorithm for Mixtures of Elliptical Distributions with Missing Data. IEEE Trans. Signal Process. 71 (2023)
Esa Ollila, Daniel P. Palomar, Frédéric Pascal
Affine Equivariant Tyler's M-Estimator Applied to Tail Parameter Learning of Elliptical Distributions. IEEE Signal Process. Lett. 30 (2023)
Pierre Houdouin, Matthieu Jonckheere, Frédéric Pascal
FEMDA: Une méthode de classification robuste et flexible. CoRR (2023)
Pierre Houdouin, Andrew Wang, Matthieu Jonckheere, Frédéric Pascal
Robust Classification with Flexible Discriminant Analysis in Heterogeneous Data. ICASSP (2022)
Manon Mottier, Gilles Chardon, Frédéric Pascal
RADAR Emitter Classification with Optimal Transport Distances. EUSIPCO (2022)
Alexandre Hippert-Ferrer, Ammar Mian, Florent Bouchard, Frédéric Pascal
Riemannian Classification of EEG Signals with Missing Values. EUSIPCO (2022)
Nora Ouzir, Jean-Christophe Pesquet, Frédéric Pascal
A Convex Formulation for the Robust Estimation of Multivariate Exponential Power Models. ICASSP (2022)
Florian Mouret, Alexandre Hippert-Ferrer, Frédéric Pascal, Jean-Yves Tourneret
A Robust and Flexible EM Algorithm for Mixtures of Elliptical Distributions with Missing Data. CoRR (2022)
Stefano Fortunati, Alexandre Renaux, Frédéric Pascal
Joint Estimation of Location and Scatter in Complex Elliptically Symmetric Distributions. J. Signal Process. Syst. 94 (2) (2022)
Pierre Houdouin, Frédéric Pascal, Matthieu Jonckheere, Andrew Wang
Robust classification with flexible discriminant analysis in heterogeneous data. CoRR (2022)
Florent Bouchard, Arnaud Breloy, Guillaume Ginolhac, Alexandre Renaux, Frédéric Pascal
A Riemannian Framework for Low-Rank Structured Elliptical Models. IEEE Trans. Signal Process. 69 (2021)
Frédéric Pascal, Esa Ollila, Daniel P. Palomar
Improved estimation of the degree of freedom parameter of multivariate $t$-distribution. EUSIPCO (2021)
Malik Tiomoko, Romain Couillet, Frédéric Pascal
PCA-based Multi Task Learning: a Random Matrix Approach. CoRR (2021)
Alexandre Hippert-Ferrer, Ammar Mian, Florent Bouchard, Frédéric Pascal
Riemannian classification of EEG signals with missing values. CoRR (2021)
Esa Ollila, Daniel P. Palomar, Frédéric Pascal
Shrinking the Eigenvalues of M-Estimators of Covariance Matrix. IEEE Trans. Signal Process. 69 (2021)
Violeta Roizman, Guillaume Ginolhac, Matthieu Jonckheere, Frédéric Pascal
On Change Detection for Polsar Image Time Series: A New Clustering Approach. SSP (2021)
Arnaud Breloy, Guillaume Ginolhac, Yongchan Gao, Frédéric Pascal
MIMO filters based on robust rank-constrained Kronecker covariance matrix estimation. Signal Process. 187 (2021)
Michael Muma, Esa Ollila, Frédéric Pascal
Special issue on statistical signal processing solutions and advances for data science: Complex, dynamic and large-scale settings. Signal Process. 182 (2021)
Esa Ollila, Daniel P. Palomar, Frédéric Pascal
M-Estimators of Scatter with Eigenvalue Shrinkage. ICASSP (2020)
Stefano Fortunati, Alexandre Renaux, Frédéric Pascal
Robust Semiparametric Joint Estimators of Location and Scatter in Elliptical Distributions. MLSP (2020)
Violeta Roizman, Matthieu Jonckheere, Frédéric Pascal
Robust clustering and outlier rejection using the Mahalanobis distance distribution. EUSIPCO (2020)
Stefano Fortunati, Alexandre Renaux, Frédéric Pascal
Robust Semiparametric Efficient Estimators in Complex Elliptically Symmetric Distributions. IEEE Trans. Signal Process. 68 (2020)
Stefano Fortunati, Alexandre Renaux, Frédéric Pascal
Properties of a new R-estimator of shape matrices. EUSIPCO (2020)
Florent Bouchard, Arnaud Breloy, Guillaume Ginolhac, Frédéric Pascal
Riemannian Framework for Robust Covariance Matrix Estimation in Spiked Models. ICASSP (2020)
Emmanuelle Jay, Thibault Soler, Eugénie Terreaux, Jean Philippe Ovarlez, Frédéric Pascal, Philippe de Peretti, Christophe Chorro
Improving portfolios global performance using a cleaned and robust covariance matrix estimate. Soft Comput. 24 (12) (2020)
Gordana Draskovic, Arnaud Breloy, Frédéric Pascal
-estimators. Signal Process. 167 (2020)
Violeta Roizman, Gordana Draskovic, Frédéric Pascal
A new clustering algorithm for PolSAR images segmentation. CAMSAP (2019)
Pascal Vallet, Guillaume Ginolhac, Frédéric Pascal, Philippe Forster
An Improved Low Rank Detector in the High Dimensional Regime. ICASSP (2019)
Alice Combernoux, Frédéric Pascal, Guillaume Ginolhac
Performance of the Low-Rank Adaptive Normalized Matched Filter Test Under a Large Dimension Regime. IEEE Trans. Aerosp. Electron. Syst. 55 (1) (2019)
Pascal Vallet, Guillaume Ginolhac, Frédéric Pascal, Philippe Forster
Performance Analysis of a Low-Rank Detector Under Training Data Contamination. CAMSAP (2019)
Gordana Draskovic, Arnaud Breloy, Frédéric Pascal
On the Asymptotics of Maronna's Robust PCA. IEEE Trans. Signal Process. 67 (19) (2019)
Shahab Basiri, Esa Ollila, Gordana Draskovic, Frédéric Pascal
Fusing Eigenvalues. ICASSP (2019)
Gordana Draskovic, Frédéric Pascal, Florence Tupin
$M$ -NL: Robust NL-Means Approach for PolSAR Images Denoising. IEEE Geosci. Remote. Sens. Lett. 16 (6) (2019)
Violeta Roizman, Matthieu Jonckheere, Frédéric Pascal
A flexible EM-like clustering algorithm for noisy data. CoRR (2019)
Alice Combernoux, Frédéric Pascal, Guillaume Ginolhac, Marc Lesturgie
Theoretical Performance of Low Rank Adaptive Filters in the Large Dimensional Regime. IEEE Trans. Aerosp. Electron. Syst. 55 (6) (2019)
Arnaud Breloy, Esa Ollila, Frédéric Pascal
Spectral Shrinkage of Tyler's $M$-Estimator of Covariance Matrix. CAMSAP (2019)
Abla Kammoun, Romain Couillet, Frédéric Pascal, Mohamed-Slim Alouini
Optimal Design of the Adaptive Normalized Matched Filter Detector Using Regularized Tyler Estimators. IEEE Trans. Aerosp. Electron. Syst. 54 (2) (2018)
Emmanuelle Jay, Eugénie Terreaux, Jean Philippe Ovarlez, Frédéric Pascal
Improving Portfolios Global Performance with Robust Covariance Matrix Estimation: Application to the Maximum Variety Portfolio. EUSIPCO (2018)
Frédéric Brigui, Maxime Boizard, Guillaume Ginolhac, Frédéric Pascal
New Low-Rank Filters for MIMO-STAP Based on an Orthogonal Tensorial Decomposition. IEEE Trans. Aerosp. Electron. Syst. 54 (3) (2018)
Gordana Draskovic, Frédéric Pascal
New Insights Into the Statistical Properties of M-Estimators. IEEE Trans. Signal Process. 66 (16) (2018)
Eugénie Terreaux, Jean Philippe Ovarlez, Frédéric Pascal
A Toeplitz-Tyler Estimation of the Model Order in Large Dimensional Regime. ICASSP (2018)
Tzvi Diskin, Gordana Draskovic, Frédéric Pascal, Ami Wiesel
Deep robust regression. CAMSAP (2017)
Joana Frontera-Pons, Jean Philippe Ovarlez, Frédéric Pascal
Robust ANMF Detection in Noncentered Impulsive Background. IEEE Signal Process. Lett. 24 (12) (2017)
François Vincent, Frédéric Pascal, Olivier Besson
A bias-compensated MUSIC for small number of samples. Signal Process. 138 (2017)
Eugénie Terreaux, Jean Philippe Ovarlez, Frédéric Pascal
New model order selection in large dimension regime for complex elliptically symmetric noise. EUSIPCO (2017)
Gordana Draskovic, Frédéric Pascal, Arnaud Breloy, Jean-Yves Tourneret
New asymptotic properties for the robust ANMF. ICASSP (2017)
Joana Frontera-Pons, Frédéric Pascal, Jean Philippe Ovarlez
Adaptive Nonzero-Mean Gaussian Detection. IEEE Trans. Geosci. Remote. Sens. 55 (2) (2017)
Gordana Draskovic, Frédéric Pascal
New properties for Tyler's covariance matrix estimator. ACSSC (2016)
Ying Sun, Arnaud Breloy, Prabhu Babu, Daniel P. Palomar, Frédéric Pascal, Guillaume Ginolhac
Low-Complexity Algorithms for Low Rank Clutter Parameters Estimation in Radar Systems. IEEE Trans. Signal Process. 64 (8) (2016)
Jorge Prendes, Marie Chabert, Frédéric Pascal, Alain Giros, Jean-Yves Tourneret
A Bayesian Nonparametric Model Coupled with a Markov Random Field for Change Detection in Heterogeneous Remote Sensing Images. SIAM J. Imaging Sci. 9 (4) (2016)
Romain Couillet, Abla Kammoun, Frédéric Pascal
Second order statistics of robust estimators of scatter. Application to GLRT detection for elliptical signals. J. Multivar. Anal. 143 (2016)
Abla Kammoun, Romain Couillet, Frédéric Pascal, Mohamed-Slim Alouini
Convergence and Fluctuations of Regularized Tyler Estimators. IEEE Trans. Signal Process. 64 (4) (2016)
Abla Kammoun, Romain Couillet, Frédéric Pascal, Mohamed-Slim Alouini
Optimal adaptive normalized matched filter for large antenna arrays. SSP (2016)
Arnaud Breloy, Guillaume Ginolhac, Frédéric Pascal, Philippe Forster
Robust Covariance Matrix Estimation in Heterogeneous Low Rank Context. IEEE Trans. Signal Process. 64 (22) (2016)
Arnaud Breloy, Ying Sun, Prabhu Babu, Guillaume Ginolhac, Daniel Pérez Palomar, Frédéric Pascal
A robust signal subspace estimator. SSP (2016)
Frédéric Pascal, Abla Kammoun
Théorie des matrices aléatoires robustes et applications à la détection radar. Traitement du Signal 33 (2-3) (2016)
Joana Frontera-Pons, Miguel Angel Veganzones, Frédéric Pascal, Jean Philippe Ovarlez
Hyperspectral Anomaly Detectors Using Robust Estimators. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9 (2) (2016)
Alice Combernoux, Frédéric Pascal, Guillaume Ginolhac, Marc Lesturgie
Asymptotic performance of the Low Rank Adaptive Normalized Matched Filter in a large dimensional regime. ICASSP (2015)
Jean Philippe Ovarlez, Frédéric Pascal, Arnaud Breloy
Asymptotic detection performance analysis of the robust Adaptive Normalized Matched Filter. CAMSAP (2015)
Abla Kammoun, Romain Couillet, Frédéric Pascal
Second order statistics of bilinear forms of robust scatter estimators. ICASSP (2015)
Jorge Prendes, Marie Chabert, Frédéric Pascal, Alain Giros, Jean-Yves Tourneret
Change detection for optical and radar images using a Bayesian nonparametric model coupled with a Markov random field. ICASSP (2015)
Abla Kammoun, Romain Couillet, Frédéric Pascal, Mohamed-Slim Alouini
Optimal Design of the Adaptive Normalized Matched Filter Detector. CoRR (2015)
Arnaud Breloy, Guillaume Ginolhac, Frédéric Pascal, Philippe Forster
Clutter Subspace Estimation in Low Rank Heterogeneous Noise Context. IEEE Trans. Signal Process. 63 (9) (2015)
Yacine Chitour, Romain Couillet, Frédéric Pascal
On the Convergence of Maronna's M-Estimators of Scatter. IEEE Signal Process. Lett. 22 (6) (2015)
Frédéric Pascal, Jean Philippe Ovarlez
Asymptotic detection performance of the robust ANMF. EUSIPCO (2015)
Jorge Prendes, Marie Chabert, Frédéric Pascal, Alain Giros, Jean-Yves Tourneret
A New Multivariate Statistical Model for Change Detection in Images Acquired by Homogeneous and Heterogeneous Sensors. IEEE Trans. Image Process. 24 (3) (2015)
Eugénie Terreaux, Jean Philippe Ovarlez, Frédéric Pascal
Anomaly detection and estimation in hyperspectral imaging using Random Matrix Theory tools. CAMSAP (2015)
Abla Kammoun, Romain Couillet, Frédéric Pascal, Mohamed-Slim Alouini
Convergence and Fluctuations of Regularized Tyler Estimators. CoRR (2015)
Frédéric Pascal, Jean Philippe Ovarlez
Asymptotic properties of the robust ANMF. ICASSP (2015)
Romain Couillet, Frédéric Pascal, Jack W. Silverstein
The random matrix regime of Maronna's M-estimator with elliptically distributed samples. J. Multivar. Anal. 139 (2015)
Romain Couillet, Maria Sabrina Greco, Jean Philippe Ovarlez, Frédéric Pascal
RMT for whitening space correlation and applications to radar detection. CAMSAP (2015)
Miguel Angel Veganzones, Joana Frontera-Pons, Frédéric Pascal, Jean Philippe Ovarlez, Jocelyn Chanussot
Binary partition trees-based robust adaptive hyperspectral RX anomaly detection. ICIP (2014)
Arnaud Breloy, Guillaume Ginolhac, Frédéric Pascal, Philippe Forster
CFAR property and robustness of the lowrank adaptive normalized matched filters detectors in low rank compound gaussian context. SAM (2014)
Guillaume Ginolhac, Philippe Forster, Frédéric Pascal, Jean Philippe Ovarlez
Exploiting persymmetry for low-rank Space Time Adaptive Processing. Signal Process. 97 (2014)
Frédéric Pascal, Yacine Chitour
Shrinkage covariance matrix estimator applied to STAP detection. SSP (2014)
Frédéric Pascal, Yacine Chitour, Yihui Quek
Generalized Robust Shrinkage Estimator and Its Application to STAP Detection Problem. IEEE Trans. Signal Process. 62 (21) (2014)
Joana Frontera-Pons, Miguel Angel Veganzones, Santiago Velasco-Forero, Frédéric Pascal, Jean Philippe Ovarlez, Jocelyn Chanussot
Robust anomaly detection in Hyperspectral Imaging. IGARSS (2014)
Maxime Boizard, Guillaume Ginolhac, Frédéric Pascal, Philippe Forster
Low-rank filter and detector for multidimensional data based on an alternative unfolding HOSVD: application to polarimetric STAP. EURASIP J. Adv. Signal Process. 2014 (2014)
Romain Couillet, Frédéric Pascal, Jack W. Silverstein
Robust Estimates of Covariance Matrices in the Large Dimensional Regime. IEEE Trans. Inf. Theory 60 (11) (2014)
Jorge Prendes, Marie Chabert, Frédéric Pascal, Alain Giros, Jean-Yves Tourneret
A multivariate statistical model for multiple images acquired by homogeneous or heterogeneous sensors. ICASSP (2014)
Romain Couillet, Frédéric Pascal
Robust M-estimator of scatter for large elliptical samples. SSP (2014)
Arnaud Breloy, Guillaume Ginolhac, Frédéric Pascal, Philippe Forster
Robust estimation of the clutter subspace for a Low Rank heterogeneous noise under high Clutter to Noise Ratio assumption. ICASSP (2014)
Mélanie Mahot, Frédéric Pascal, Philippe Forster, Jean Philippe Ovarlez
Asymptotic Properties of Robust Complex Covariance Matrix Estimates. IEEE Trans. Signal Process. 61 (13) (2013)
Guillaume Ginolhac, Philippe Forster, Frédéric Pascal, Jean Philippe Ovarlez
Performance of Two Low-Rank STAP Filters in a Heterogeneous Noise. IEEE Trans. Signal Process. 61 (1) (2013)
Pierre Formont, Miguel Angel Veganzones, Joana Frontera-Pons, Frédéric Pascal, Jean Philippe Ovarlez, Jocelyn Chanussot
CFAR hierarchical clustering of polarimetric SAR data. IGARSS (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Frédéric Pascal