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2020 – today
- 2024
[j26]Hugo Brehier
, Arnaud Breloy, Chengfang Ren, Guillaume Ginolhac:
Through the Wall Radar Imaging via Kronecker-structured Huber-type RPCA. Signal Process. 214: 109228 (2024)- [j25]Yassine Mhiri, Mohammed Nabil El Korso, Arnaud Breloy, Pascal Larzabal:
Regularized maximum likelihood estimation for radio interferometric imaging in the presence of radiofrequency interferences. Signal Process. 220: 109430 (2024) - [j24]Ammar Mian, Guillaume Ginolhac, Florent Bouchard, Arnaud Breloy:
Online change detection in SAR time-series with Kronecker product structured scaled Gaussian models. Signal Process. 224: 109589 (2024) - [c37]Hugo Brehier, Arnaud Breloy, Chengfang Ren, Guillaume Ginolhac:
Through-The-Wall Radar Imaging With Wall Clutter Removal Via Riemannian Optimization On The Fixed-Rank Manifold. ICASSP 2024: 8596-8600 - [c36]Thu Ha Phi, Alexandre Hippert-Ferrer, Florent Bouchard, Arnaud Breloy:
Robust Low-Rank Correlation Fitting. ICASSP 2024: 9416-9420 - [c35]Jasin Machkour, Arnaud Breloy, Michael Muma, Daniel P. Palomar, Frédéric Pascal:
Sparse PCA with False Discovery Rate Controlled Variable Selection. ICASSP 2024: 9716-9720 - [i7]Jasin Machkour, Arnaud Breloy, Michael Muma, Daniel P. Palomar, Frédéric Pascal:
Sparse PCA with False Discovery Rate Controlled Variable Selection. CoRR abs/2401.08375 (2024) - 2023
- [j23]Phan Viet Hoa Vu, Arnaud Breloy, Frédéric Brigui, Yajing Yan, Guillaume Ginolhac:
Robust Phase Linking in InSAR. IEEE Trans. Geosci. Remote. Sens. 61: 1-11 (2023) - [j22]Antoine Collas, Arnaud Breloy, Chengfang Ren, Guillaume Ginolhac, Jean Philippe Ovarlez:
Riemannian Optimization for Non-Centered Mixture of Scaled Gaussian Distributions. IEEE Trans. Signal Process. 71: 2475-2490 (2023) - [c34]Hugo Brehier, Arnaud Breloy, Mohammed Nabil El Korso, Sandeep Kumar:
Robust and Globally Sparse Pca via Majorization-Minimization and Variable Splitting. ICASSP 2023: 1-5 - [c33]Phan Viet Hoa Vu, Arnaud Breloy, Frédéric Brigui, Yajing Yan, Guillaume Ginolhac:
Covariance fitting based InSAR Phase Linking. IGARSS 2023: 8234-8237 - [c32]Antoine Collas, Titouan Vayer, Rémi Flamary, Arnaud Breloy:
Entropic Wasserstein Component Analysis. MLSP 2023: 1-6 - [c31]Alexandre Hippert-Ferrer, Florent Bouchard, Ammar Mian, Titouan Vayer, Arnaud Breloy:
Learning Graphical Factor Models with Riemannian Optimization. ECML/PKDD (4) 2023: 349-366 - [i6]Antoine Collas, Titouan Vayer, Rémi Flamary, Arnaud Breloy:
Entropic Wasserstein Component Analysis. CoRR abs/2303.05119 (2023) - [i5]Florent Bouchard, Arnaud Breloy, Antoine Collas, Alexandre Renaux, Guillaume Ginolhac:
The Fisher-Rao geometry of CES distributions. CoRR abs/2310.01032 (2023) - [i4]Florent Bouchard, Alexandre Renaux, Guillaume Ginolhac, Arnaud Breloy:
Natural Bayesian Cramér-Rao Bound with an Application to Covariance Estimation. CoRR abs/2311.04748 (2023) - 2022
- [j21]Alexandre Hippert-Ferrer, Mohammed Nabil El Korso, Arnaud Breloy, Guillaume Ginolhac:
Robust low-rank covariance matrix estimation with a general pattern of missing values. Signal Process. 195: 108460 (2022) - [j20]Yassine Mhiri, Mohammed Nabil El Korso, Arnaud Breloy, Pascal Larzabal:
Multifrequency array calibration in presence of radio frequency interferences. Signal Process. 199: 108613 (2022) - [j19]Esa Ollila, Arnaud Breloy:
Regularized Tapered Sample Covariance Matrix. IEEE Trans. Signal Process. 70: 2306-2320 (2022) - [c30]Antoine Collas, Arnaud Breloy, Guillaume Ginolhac, Chengfang Ren, Jean Philippe Ovarlez:
Robust Geometric Metric Learning. EUSIPCO 2022: 1447-1451 - [c29]Hugo Brehier, Arnaud Breloy, Chengfang Ren, Israel Hinostroza, Guillaume Ginolhac:
Robust PCA for Through-the-Wall Radar Imaging. EUSIPCO 2022: 2246-2250 - [c28]Antoine Collas, Florent Bouchard, Guillaume Ginolhac, Arnaud Breloy, Chengfang Ren, Jean Philippe Ovarlez:
On the Use of Geodesic Triangles between Gaussian Distributions for Classification Problems. ICASSP 2022: 5697-5701 - [c27]Phan Viet Hoa Vu, Frédéric Brigui, Arnaud Breloy, Yajing Yan, Guillaume Ginolhac:
A New Phase Linking Algorithm for Multi-temporal InSAR based on the Maximum Likelihood Estimator. IGARSS 2022: 76-79 - [c26]Yassine Mhiri, Mohammed Nabil El Korso, Arnaud Breloy, Pascal Larzabal:
A Robust EM Algorithm for Radio Interferometric Imaging in The Presence of Outliers. SiPS 2022: 1-5 - [i3]Antoine Collas, Arnaud Breloy, Guillaume Ginolhac, Chengfang Ren, Jean Philippe Ovarlez:
Robust Geometric Metric Learning. CoRR abs/2202.11550 (2022) - [i2]Antoine Collas, Arnaud Breloy, Chengfang Ren, Guillaume Ginolhac, Jean Philippe Ovarlez:
Riemannian optimization for non-centered mixture of scaled Gaussian distributions. CoRR abs/2209.03315 (2022) - [i1]Alexandre Hippert-Ferrer, Florent Bouchard, Ammar Mian, Titouan Vayer, Arnaud Breloy:
Learning Graphical Factor Models with Riemannian Optimization. CoRR abs/2210.11950 (2022) - 2021
- [j18]Arnaud Breloy, Guillaume Ginolhac, Yongchan Gao, Frédéric Pascal:
MIMO filters based on robust rank-constrained Kronecker covariance matrix estimation. Signal Process. 187: 108116 (2021) - [j17]Alexandre Hippert-Ferrer, Mohammed Nabil El Korso, Arnaud Breloy, Guillaume Ginolhac:
Robust mean and covariance matrix estimation under heterogeneous mixed-effects model with missing values. Signal Process. 188: 108195 (2021) - [j16]Bruno Mériaux, Chengfang Ren, Arnaud Breloy, Mohammed Nabil El Korso, Philippe Forster:
Matched and Mismatched Estimation of Kronecker Product of Linearly Structured Scatter Matrices Under Elliptical Distributions. IEEE Trans. Signal Process. 69: 603-616 (2021) - [j15]Florent Bouchard, Arnaud Breloy, Guillaume Ginolhac, Alexandre Renaux, Frédéric Pascal:
A Riemannian Framework for Low-Rank Structured Elliptical Models. IEEE Trans. Signal Process. 69: 1185-1199 (2021) - [j14]Arnaud Breloy, Sandeep Kumar, Ying Sun, Daniel P. Palomar:
Majorization-Minimization on the Stiefel Manifold With Application to Robust Sparse PCA. IEEE Trans. Signal Process. 69: 1507-1520 (2021) - [j13]Antoine Collas, Florent Bouchard, Arnaud Breloy, Guillaume Ginolhac, Chengfang Ren, Jean Philippe Ovarlez:
Probabilistic PCA From Heteroscedastic Signals: Geometric Framework and Application to Clustering. IEEE Trans. Signal Process. 69: 6546-6560 (2021) - [c25]Florent Bouchard, Arnaud Breloy, Ammar Mian, Guillaume Ginolhac:
On-line Kronecker Product Structured Covariance Estimation with Riemannian geometry for t-distributed data. EUSIPCO 2021: 856-859 - [c24]Yassine Mhiri, Mohammed Nabil El Korso, Lucien Bacharach, Arnaud Breloy, Pascal Larzabal:
Expectation-Maximization Based Direction of Arrival Estimation Under a Mixture of Noise. EUSIPCO 2021: 1890-1893 - [c23]Antoine Collas, Florent Bouchard, Arnaud Breloy, Chenfang Ren, Guillaume Ginolhac, Jean Philippe Ovarlez:
A Tyler-Type Estimator of Location and Scatter Leveraging Riemannian Optimization. ICASSP 2021: 5160-5164 - 2020
- [j12]Abdallah Bouiba, Mohammed Nabil El Korso, Arnaud Breloy, Philippe Forster, M. Hamadouche, Mohand Lagha:
Two-Dimensional Robust Source Localization Under Non-Gaussian Noise. Circuits Syst. Signal Process. 39(9): 4740-4761 (2020) - [j11]Rayen Ben Abdallah, Arnaud Breloy, Mohammed Nabil El Korso, David Lautru:
Bayesian signal subspace estimation with compound Gaussian sources. Signal Process. 167 (2020) - [j10]Gordana Draskovic, Arnaud Breloy, Frédéric Pascal:
On the performance of robust plug-in detectors using M-estimators. Signal Process. 167 (2020) - [j9]Ammar Mian, Antoine Collas, Arnaud Breloy, Guillaume Ginolhac, Jean Philippe Ovarlez:
Robust Low-Rank Change Detection for Multivariate SAR Image Time Series. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 3545-3556 (2020) - [c22]Florent Bouchard, Arnaud Breloy, Guillaume Ginolhac, Alexandre Renaux:
A Riemannian approach to blind separation of t-distributed sources. EUSIPCO 2020: 965-969 - [c21]Bruno Mériaux, Chengfang Ren, Arnaud Breloy, Mohammed Nabil El Korso, Philippe Forster:
Efficient Estimation of Kronecker Product of Linear Structured Scatter Matrices under t-distribution. EUSIPCO 2020: 2418-2422 - [c20]Florent Bouchard, Arnaud Breloy, Alexandre Renaux, Guillaume Ginolhac:
Riemannian Geometry and Cramér-rao Bound for Blind Separation of Gaussian Sources. ICASSP 2020: 4717-4721 - [c19]Florent Bouchard, Arnaud Breloy, Guillaume Ginolhac, Frédéric Pascal:
Riemannian Framework for Robust Covariance Matrix Estimation in Spiked Models. ICASSP 2020: 5979-5983
2010 – 2019
- 2019
- [j8]Rayen Ben Abdallah, Ammar Mian, Arnaud Breloy, Abigaël Taylor, Mohammed Nabil El Korso, David Lautru:
Detection Methods Based on Structured Covariance Matrices for Multivariate SAR Images Processing. IEEE Geosci. Remote. Sens. Lett. 16(7): 1160-1164 (2019) - [j7]Bruno Meriaux, Chengfang Ren, Mohammed Nabil El Korso, Arnaud Breloy, Philippe Forster:
Robust estimation of structured scatter matrices in (mis)matched models. Signal Process. 165: 163-174 (2019) - [j6]Arnaud Breloy, Guillaume Ginolhac, Alexandre Renaux, Florent Bouchard:
Intrinsic Cramér-Rao Bounds for Scatter and Shape Matrices Estimation in CES Distributions. IEEE Signal Process. Lett. 26(2): 262-266 (2019) - [j5]Bruno Meriaux, Chengfang Ren, Mohammed Nabil El Korso, Arnaud Breloy, Philippe Forster:
Asymptotic Performance of Complex $M$-Estimators for Multivariate Location and Scatter Estimation. IEEE Signal Process. Lett. 26(2): 367-371 (2019) - [j4]Gordana Draskovic, Arnaud Breloy, Frédéric Pascal:
On the Asymptotics of Maronna's Robust PCA. IEEE Trans. Signal Process. 67(19): 4964-4975 (2019) - [c18]Arnaud Breloy, Esa Ollila, Frédéric Pascal:
Spectral Shrinkage of Tyler's $M$-Estimator of Covariance Matrix. CAMSAP 2019: 535-538 - [c17]Bruno Mériaux, Arnaud Breloy, Chengfang Ren, Mohammed Nabil El Korso, Philippe Forster:
Modified Sparse Subspace Clustering for Radar Detection in Non-stationary Clutter. CAMSAP 2019: 669-673 - [c16]Rayen Ben Abdallah, Arnaud Breloy, Mohammed Nabil El Korso, David Lautru:
Bayesian Robust Signal Subspace Estimation in Non-Gaussian Environment. EUSIPCO 2019: 1-5 - [c15]Rayen Ben Abdallah, Arnaud Breloy, Abigaël Taylor, Mohammed Nabil El Korso, David Lautru:
Signal subspace change detection in structured covariance matrices. EUSIPCO 2019: 1-5 - [c14]Bruno Mériaux, Chengfang Ren, Arnaud Breloy, Mohammed Nabil El Korso, Philippe Forster, Jean Philippe Ovarlez:
On the Recursions of Robust COMET Algorithm for Convexly Structured Shape Matrix. EUSIPCO 2019: 1-5 - [c13]Ammar Mian, Arnaud Breloy, Guillaume Ginolhac, Jean Philippe Ovarlez:
Robust Low-Rank Change Detection for Sar Image Time Series. IGARSS 2019: 10079-10082 - 2018
- [c12]Arnaud Breloy, Mohammed Nabil El Korso, Ashkan Panahi, Hamid Krim:
Robust Subspace Clustering for Radar Detection. EUSIPCO 2018: 1602-1606 - [c11]Bruno Meriaux, Chengfang Ren, Mohammed Nabil El Korso, Arnaud Breloy, Philippe Forster:
Efficient Estimation of Scatter Matrix with Convex Structure Under $T$ -Distribution. ICASSP 2018: 4474-4478 - 2017
- [c10]Bruno Meriaux, Chengfang Ren, Mohammed Nabil El Korso, Arnaud Breloy, Philippe Forster:
Robust-COMET for covariance estimation in convex structures: Algorithm and statistical properties. CAMSAP 2017: 1-5 - [c9]Q. Hoarau, Arnaud Breloy, Guillaume Ginolhac, Abdourrahmane M. Atto, Jean-Marie Nicolas:
A subspace approach for shrinkage parameter selection in undersampled configuration for Regularised Tyler Estimators. ICASSP 2017: 3291-3295 - [c8]Gordana Draskovic, Frédéric Pascal, Arnaud Breloy, Jean-Yves Tourneret:
New asymptotic properties for the robust ANMF. ICASSP 2017: 3429-3433 - 2016
- [j3]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): 1986-1998 (2016) - [j2]Arnaud Breloy, Guillaume Ginolhac, Frédéric Pascal, Philippe Forster:
Robust Covariance Matrix Estimation in Heterogeneous Low Rank Context. IEEE Trans. Signal Process. 64(22): 5794-5806 (2016) - [c7]Arnaud Breloy, Ying Sun, Prabhu Babu, Guillaume Ginolhac, Daniel Pérez Palomar:
Robust rank constrained kronecker covariance matrix estimation. ACSSC 2016: 810-814 - [c6]Arnaud Breloy, Ying Sun, Prabhu Babu, Daniel Pérez Palomar:
Block majorization-minimization algorithms for low-rank clutter subspace estimation. EUSIPCO 2016: 2186-2190 - [c5]Arnaud Breloy, Ying Sun, Prabhu Babu, Guillaume Ginolhac, Daniel Pérez Palomar, Frédéric Pascal:
A robust signal subspace estimator. SSP 2016: 1-4 - 2015
- [j1]Arnaud Breloy, Guillaume Ginolhac, Frédéric Pascal, Philippe Forster:
Clutter Subspace Estimation in Low Rank Heterogeneous Noise Context. IEEE Trans. Signal Process. 63(9): 2173-2182 (2015) - [c4]Jean Philippe Ovarlez, Frédéric Pascal, Arnaud Breloy:
Asymptotic detection performance analysis of the robust Adaptive Normalized Matched Filter. CAMSAP 2015: 137-140 - 2014
- [c3]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: 66-70 - [c2]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: 301-304 - 2013
- [c1]Arnaud Breloy, Luc Le Magoarou, Guillaume Ginolhac, Frédéric Pascal, Philippe Forster:
Maximum likelihood estimation of clutter subspace in non homogeneous noise context. EUSIPCO 2013: 1-5
Coauthor Index
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last updated on 2024-10-16 20:28 CEST by the dblp team
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