Ammar Mian

According to our database, Ammar Mian authored at least 22 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Online change detection in SAR time-series with Kronecker product structured scaled Gaussian models.

Ammar Mian, Guillaume Ginolhac, Florent Bouchard, Arnaud Breloy

Signal Process., 2024

Classification of Buried Objects from Ground Penetrating Radar Images by using Second Order Deep Learning Models.

Douba Jafuno, Ammar Mian, Guillaume Ginolhac, Nickolas Stelzenmuller

CoRR, 2024

Buried Object Classification from GPR Data by using Second Order Deep Learning Models.

Douba Jafuno, Ammar Mian, Guillaume Ginolhac, Nickolas Stelzenmuller

Proceedings of the IGARSS 2024, 2024

Random matrix theory improved Fréchet mean of symmetric positive definite matrices.

Florent Bouchard, Ammar Mian, Malik Tiomoko, Guillaume Ginolhac, Frédéric Pascal

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Renyi Divergences Learning for explainable classification of SAR Image Pairs.

Matthieu Gallet, Ammar Mian, Abdourrahmane M. Atto

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

New Robust Sparse Convolutional Coding Inversion Algorithm for Ground Penetrating Radar Images.

Matthieu Gallet, Ammar Mian, Guillaume Ginolhac, Esa Ollila, Nickolas Stelzenmuller

IEEE Trans. Geosci. Remote. Sens., 2023

Learning Graphical Factor Models with Riemannian Optimization.

Alexandre Hippert-Ferrer, Florent Bouchard, Ammar Mian, Titouan Vayer, Arnaud Breloy

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

2022

Classification of GPR Signals Via Covariance Pooling on CNN Features Within a Riemannian Framework.

Matthieu Gallet, Ammar Mian, Guillaume Ginolhac, Nickolas Stelzenmuller

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Riemannian Classification of EEG Signals with Missing Values.

Alexandre Hippert-Ferrer, Ammar Mian, Florent Bouchard, Frédéric Pascal

Proceedings of the 30th European Signal Processing Conference, 2022

2021

On-line Kronecker Product Structured Covariance Estimation with Riemannian geometry for t-distributed data.

Florent Bouchard, Arnaud Breloy, Ammar Mian, Guillaume Ginolhac

Proceedings of the 29th European Signal Processing Conference, 2021

2020

Robust Low-Rank Change Detection for Multivariate SAR Image Time Series.

Ammar Mian, Antoine Collas, Arnaud Breloy, Guillaume Ginolhac, Jean Philippe Ovarlez

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

Riemannian geometry for compound Gaussian distributions: Application to recursive change detection.

Florent Bouchard, Ammar Mian, Jialun Zhou, Salem Said, Guillaume Ginolhac, Yannick Berthoumieu

Signal Process., 2020

Block-Wise Minimization-Majorization Algorithm for Huber'S Criterion: Sparse Learning and Applications.

Esa Ollila, Ammar Mian

Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020

A Comparative Study of Supervised Learning Algorithms for Symmetric Positive Definite Features.

Ammar Mian, Elias Raninen, Esa Ollila

Proceedings of the 28th European Signal Processing Conference, 2020

2019

New Robust Statistics for Change Detection in Time Series of Multivariate SAR Images.

Ammar Mian, Guillaume Ginolhac, Jean Philippe Ovarlez, Abdourrahmane Mahamane Atto

IEEE Trans. Signal Process., 2019

Design of New Wavelet Packets Adapted to High-Resolution SAR Images With an Application to Target Detection.

Ammar Mian, Jean Philippe Ovarlez, Abdourrahmane Mahamane Atto, Guillaume Ginolhac

IEEE Trans. Geosci. Remote. Sens., 2019

Detection Methods Based on Structured Covariance Matrices for Multivariate SAR Images Processing.

Rayen Ben Abdallah, Ammar Mian, Arnaud Breloy, Abigaël Taylor, Mohammed Nabil El Korso, David Lautru

IEEE Geosci. Remote. Sens. Lett., 2019

Robust Low-Rank Change Detection for Sar Image Time Series.

Ammar Mian, Arnaud Breloy, Guillaume Ginolhac, Jean Philippe Ovarlez

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Designing Sar Images Change-point Estimation Strategies Using an Mse Lower Bound.

Ammar Mian, Lucien Bacharach, Guillaume Ginolhac, Alexandre Renaux, Mohammed Nabil El Korso, Jean Philippe Ovarlez

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

A Robust Change Detector for Highly Heterogeneous Multivariate Images.

Ammar Mian, Jean Philippe Ovarlez, Guillaume Ginolhac, Abdourrahmane M. Atto

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Robust Detection and Estimation of Change-Points in a Time Series of Multivariate Images.

Ammar Mian, Jean Philippe Ovarlez, Guillaume Ginolhac, Abdourrahmane M. Atto

Proceedings of the 26th European Signal Processing Conference, 2018

2017

Multivariate change detection on high resolution monovariate SAR image using linear time-frequency analysis.

Ammar Mian, Jean Philippe Ovarlez, Guillaume Ginolhac, Abdourrahmane M. Atto

Proceedings of the 25th European Signal Processing Conference, 2017