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2020 – today
- 2024
[j7]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)- [c14]Matthieu Gallet, Ammar Mian, Abdourrahmane M. Atto:
Renyi Divergences Learning for explainable classification of SAR Image Pairs. ICASSP 2024: 7445-7449 - [c13]Florent Bouchard, Ammar Mian, Malik Tiomoko, Guillaume Ginolhac, Frédéric Pascal:
Random matrix theory improved Fréchet mean of symmetric positive definite matrices. ICML 2024 - [c12]Douba Jafuno, Ammar Mian, Guillaume Ginolhac, Nickolas Stelzenmuller:
Buried Object Classification from GPR Data by using Second Order Deep Learning Models. IGARSS 2024: 6513-6516 - [i5]Florent Bouchard, Ammar Mian, Malik Tiomoko, Guillaume Ginolhac, Frédéric Pascal:
Random matrix theory improved Fréchet mean of symmetric positive definite matrices. CoRR abs/2405.06558 (2024) - 2023
- [j6]Matthieu Gallet, Ammar Mian, Guillaume Ginolhac, Esa Ollila, Nickolas Stelzenmuller:
New Robust Sparse Convolutional Coding Inversion Algorithm for Ground Penetrating Radar Images. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023) - [c11]Alexandre Hippert-Ferrer, Florent Bouchard, Ammar Mian, Titouan Vayer, Arnaud Breloy:
Learning Graphical Factor Models with Riemannian Optimization. ECML/PKDD (4) 2023: 349-366 - 2022
- [c10]Alexandre Hippert-Ferrer, Ammar Mian, Florent Bouchard, Frédéric Pascal:
Riemannian Classification of EEG Signals with Missing Values. EUSIPCO 2022: 842-846 - [c9]Matthieu Gallet, Ammar Mian, Guillaume Ginolhac, Nickolas Stelzenmuller:
Classification of GPR Signals Via Covariance Pooling on CNN Features Within a Riemannian Framework. IGARSS 2022: 365-368 - [i4]Alexandre Hippert-Ferrer, Florent Bouchard, Ammar Mian, Titouan Vayer, Arnaud Breloy:
Learning Graphical Factor Models with Riemannian Optimization. CoRR abs/2210.11950 (2022) - 2021
- [c8]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 - [i3]Alexandre Hippert-Ferrer, Ammar Mian, Florent Bouchard, Frédéric Pascal:
Riemannian classification of EEG signals with missing values. CoRR abs/2110.10011 (2021) - 2020
- [j5]Florent Bouchard, Ammar Mian, Jialun Zhou, Salem Said, Guillaume Ginolhac, Yannick Berthoumieu:
Riemannian geometry for compound Gaussian distributions: Application to recursive change detection. Signal Process. 176: 107716 (2020) - [j4]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) - [c7]Ammar Mian, Elias Raninen, Esa Ollila:
A Comparative Study of Supervised Learning Algorithms for Symmetric Positive Definite Features. EUSIPCO 2020: 950-954 - [c6]Esa Ollila, Ammar Mian:
Block-Wise Minimization-Majorization Algorithm for Huber'S Criterion: Sparse Learning and Applications. MLSP 2020: 1-6 - [i2]Florent Bouchard, Ammar Mian, Jialun Zhou, Salem Said, Guillaume Ginolhac, Yannick Berthoumieu:
Riemannian geometry for Compound Gaussian distributions: application to recursive change detection. CoRR abs/2005.10087 (2020) - [i1]Esa Ollila, Ammar Mian:
Block-wise Minimization-Majorization algorithm for Huber's criterion: sparse learning and applications. CoRR abs/2008.10982 (2020)
2010 – 2019
- 2019
- [j3]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) - [j2]Ammar Mian, Jean Philippe Ovarlez, Abdourrahmane Mahamane Atto, Guillaume Ginolhac:
Design of New Wavelet Packets Adapted to High-Resolution SAR Images With an Application to Target Detection. IEEE Trans. Geosci. Remote. Sens. 57(6): 3919-3932 (2019) - [j1]Ammar Mian, Guillaume Ginolhac, Jean Philippe Ovarlez, Abdourrahmane Mahamane Atto:
New Robust Statistics for Change Detection in Time Series of Multivariate SAR Images. IEEE Trans. Signal Process. 67(2): 520-534 (2019) - [c5]Ammar Mian, Lucien Bacharach, Guillaume Ginolhac, Alexandre Renaux, Mohammed Nabil El Korso, Jean Philippe Ovarlez:
Designing Sar Images Change-point Estimation Strategies Using an Mse Lower Bound. ICASSP 2019: 5312-5316 - [c4]Ammar Mian, Arnaud Breloy, Guillaume Ginolhac, Jean Philippe Ovarlez:
Robust Low-Rank Change Detection for Sar Image Time Series. IGARSS 2019: 10079-10082 - 2018
- [c3]Ammar Mian, Jean Philippe Ovarlez, Guillaume Ginolhac, Abdourrahmane M. Atto:
Robust Detection and Estimation of Change-Points in a Time Series of Multivariate Images. EUSIPCO 2018: 1097-1101 - [c2]Ammar Mian, Jean Philippe Ovarlez, Guillaume Ginolhac, Abdourrahmane M. Atto:
A Robust Change Detector for Highly Heterogeneous Multivariate Images. ICASSP 2018: 3429-3433 - 2017
- [c1]Ammar Mian, Jean Philippe Ovarlez, Guillaume Ginolhac, Abdourrahmane M. Atto:
Multivariate change detection on high resolution monovariate SAR image using linear time-frequency analysis. EUSIPCO 2017: 1942-1946
Coauthor Index
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