Salem Said

According to our database, Salem Said authored at least 50 papers between 2007 and 2025.

Collaborative distances:

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

2025

Quasi-Synthetic Riemannian Data Generation for Writer-Independent Offline Signature Verification.

Elias N. Zois, Moisés Díaz, Salem Said, Miguel A. Ferrer

CoRR, September, 2025

Beyond $R$-Barycenters: An Effective Averaging Method on Stiefel and Grassmann Manifolds.

Florent Bouchard, Nils Laurent, Salem Said, Nicolas Le Bihan

IEEE Signal Process. Lett., 2025

Universal Kernels via Harmonic Analysis on Riemannian Symmetric Spaces.

Franziskus Steinert, Salem Said, Cyrus Mostajeran

Proceedings of the Geometric Science of Information - 7th International Conference, 2025

2023

Subscripto multiplex: A Riemannian symmetric positive definite strategy for offline signature verification.

Elias N. Zois, Salem Said, Dimitrios Tsourounis, Alex Alexandridis

Pattern Recognit. Lett., March, 2023

Riemannian Statistics Meets Random Matrix Theory: Toward Learning From High-Dimensional Covariance Matrices.

Salem Said, Simon Heuveline, Cyrus Mostajeran

IEEE Trans. Inf. Theory, 2023

Invariant kernels on Riemannian symmetric spaces: a harmonic-analytic approach.

Nathaël Da Costa, Cyrus Mostajeran, Juan-Pablo Ortega, Salem Said

CoRR, 2023

Geometric Learning with Positively Decomposable Kernels.

Nathaël Da Costa, Cyrus Mostajeran, Juan-Pablo Ortega, Salem Said

CoRR, 2023

Determinantal Expressions of Certain Integrals on Symmetric Spaces.

Salem Said, Cyrus Mostajeran

Proceedings of the Geometric Science of Information - 6th International Conference, 2023

2022

Riemannian information gradient methods for the parameter estimation of ECD.

Jialun Zhou, Salem Said, Yannick Berthoumieu

Signal Process., 2022

Geometric Learning of Hidden Markov Models via a Method of Moments Algorithm.

Berlin Chen, Cyrus Mostajeran, Salem Said

CoRR, 2022

2021

Online Learning of Riemannian Hidden Markov Models in Homogeneous Hadamard Spaces.

Quinten Tupker, Salem Said, Cyrus Mostajeran

Proceedings of the Geometric Science of Information - 5th International Conference, 2021

From Bayesian Inference to MCMC and Convex Optimisation in Hadamard Manifolds.

Salem Said, Nicolas Le Bihan, Jonathan H. Manton

Proceedings of the Geometric Science of Information - 5th International Conference, 2021

Gaussian Distributions on Riemannian Symmetric Spaces in the Large N Limit.

Simon Heuveline, Salem Said, Cyrus Mostajeran

Proceedings of the Geometric Science of Information - 5th International Conference, 2021

On Riemannian Stochastic Approximation Schemes with Fixed Step-Size.

Alain Durmus, Pablo Jiménez, Eric Moulines, Salem Said

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

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

Convergence Analysis of Riemannian Stochastic Approximation Schemes.

Alain Durmus, Pablo Jiménez, Éric Moulines, Salem Said, Hoi-To Wai

CoRR, 2020

2019

Fast, Asymptotically Efficient, Recursive Estimation in a Riemannian Manifold.

Jialun Zhou, Salem Said

Entropy, 2019

The Riemannian Barycentre as a Proxy for Global Optimisation.

Salem Said, Jonathan H. Manton

Proceedings of the Geometric Science of Information - 4th International Conference, 2019

Online estimation of MGGD: the Riemannian Averaged Natural Gradient method.

Jialun Zhou, Salem Said, Yannick Berthoumieu

Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

2018

Gaussian Distributions on Riemannian Symmetric Spaces: Statistical Learning With Structured Covariance Matrices.

Salem Said, Hatem Hajri, Lionel Bombrun, Baba C. Vemuri

IEEE Trans. Inf. Theory, 2018

Transfer Learning: A Riemannian Geometry Framework With Applications to Brain-Computer Interfaces.

Paolo Zanini, Marco Congedo, Christian Jutten, Salem Said, Yannick Berthoumieu

IEEE Trans. Biomed. Eng., 2018

Fisher Vector Coding for Covariance Matrix Descriptors Based on the Log-Euclidean and Affine Invariant Riemannian Metrics.

Ioana Ilea, Lionel Bombrun, Salem Said, Yannick Berthoumieu

J. Imaging, 2018

Covariance Matrices Encoding Based on the Log-Euclidean and Affine Invariant Riemannian Metrics.

Ioana Ilea, Lionel Bombrun, Salem Said, Yannick Berthoumieu

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017

Riemannian Gaussian Distributions on the Space of Symmetric Positive Definite Matrices.

Salem Said, Lionel Bombrun, Yannick Berthoumieu, Jonathan H. Manton

IEEE Trans. Inf. Theory, 2017

Structure Tensor Riemannian Statistical Models for CBIR and Classification of Remote Sensing Images.

Roxana-Gabriela Rosu, Marc Donias, Lionel Bombrun, Salem Said, Olivier Regniers, Jean-Pierre Da Costa

IEEE Trans. Geosci. Remote. Sens., 2017

Classification approach based on the product of riemannian manifolds from Gaussian parametrization space.

Yannick Berthoumieu, Lionel Bombrun, Christian Germain, Salem Said

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

A geometric learning approach on the space of complex covariance matrices.

Hatem Hajri, Salem Said, Lionel Bombrun, Yannick Berthoumieu

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Riemannian Online Algorithms for Estimating Mixture Model Parameters.

Paolo Zanini, Salem Said, Yannick Berthoumieu, Marco Congedo, Christian Jutten

Proceedings of the Geometric Science of Information - Third International Conference, 2017

Riemannian Gaussian Distributions on the Space of Positive-Definite Quaternion Matrices.

Salem Said, Nicolas Le Bihan, Jonathan H. Manton

Proceedings of the Geometric Science of Information - Third International Conference, 2017

Warped Metrics for Location-Scale Models.

Salem Said, Yannick Berthoumieu

Proceedings of the Geometric Science of Information - Third International Conference, 2017

Co-occurrence Matrix of Covariance Matrices: A Novel Coding Model for the Classification of Texture Images.

Ioana Ilea, Lionel Bombrun, Salem Said, Yannick Berthoumieu

Proceedings of the Geometric Science of Information - Third International Conference, 2017

Maximum Likelihood Estimators on Manifolds.

Hatem Hajri, Salem Said, Yannick Berthoumieu

Proceedings of the Geometric Science of Information - Third International Conference, 2017

Stochastic EM algorithm for mixture estimation on manifolds.

Paolo Zanini, Salem Said, Charles C. Cavalcante, Yannick Berthoumieu

Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

2016

Filtering from observations on Stiefel manifolds.

Jérémie Boulanger, Salem Said, Nicolas Le Bihan, Jonathan H. Manton

Signal Process., 2016

Riemannian Laplace Distribution on the Space of Symmetric Positive Definite Matrices.

Hatem Hajri, Ioana Ilea, Salem Said, Lionel Bombrun, Yannick Berthoumieu

Entropy, 2016

Parameters estimate of Riemannian Gaussian distribution in the manifold of covariance matrices.

Paolo Zanini, Marco Congedo, Christian Jutten, Salem Said, Yannick Berthoumieu

Proceedings of the 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), 2016

An M-estimator for robust centroid estimation on the manifold of covariance matrices: Performance analysis and application to image classification.

Ioana Ilea, Hatem Hajri, Salem Said, Lionel Bombrun, Christian Germain, Yannick Berthoumieu

Proceedings of the 24th European Signal Processing Conference, 2016

2015

A New Riemannian Averaged Fixed-Point Algorithm for MGGD Parameter Estimation.

Zois Boukouvalas, Salem Said, Lionel Bombrun, Yannick Berthoumieu, Tülay Adali

IEEE Signal Process. Lett., 2015

Texture classification using Rao's distance: An EM algorithm on the poincaré half plane.

Salem Said, Lionel Bombrun, Yannick Berthoumieu

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Particle filtering with observations in a manifold.

Salem Said, Jonathan H. Manton

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Texture Classification Using Rao's Distance on the Space of Covariance Matrices.

Salem Said, Lionel Bombrun, Yannick Berthoumieu

Proceedings of the Geometric Science of Information - Second International Conference, 2015

2014

New Riemannian Priors on the Univariate Normal Model.

Salem Said, Lionel Bombrun, Yannick Berthoumieu

Entropy, 2014

Monte-carlo estimation from observation on stiefel manifold.

Jérémie Boulanger, Nicolas Le Bihan, Salem Said, Jonathan H. Manton

Proceedings of the IEEE International Conference on Acoustics, 2014

2013

Stationary Random Fields Arising From Second-Order Partial Differential Equations on Compact Lie Groups.

Salem Said, Pierre-Olivier Amblard, Jonathan H. Manton

IEEE Trans. Inf. Theory, 2013

On Filtering with Observation in a Manifold: Reduction to a Classical Filtering Problem.

Salem Said, Jonathan H. Manton

SIAM J. Control. Optim., 2013

2012

Extrinsic Mean of Brownian Distributions on Compact Lie Groups.

Salem Said, Jonathan H. Manton

IEEE Trans. Inf. Theory, 2012

2010

Decompounding on compact lie groups.

Salem Said, Christian Lageman, Nicolas Le Bihan, Jonathan H. Manton

IEEE Trans. Inf. Theory, 2010

2009

Nonparametric estimation for compound poisson processes on compact Lie groups.

Salem Said, Nicolas Le Bihan, Christian Lageman, Jonathan H. Manton

Proceedings of the IEEE International Conference on Acoustics, 2009

2008

Fast Complexified Quaternion Fourier Transform.

Salem Said, Nicolas Le Bihan, Stephen J. Sangwine

IEEE Trans. Signal Process., 2008

2007

Exact Principal Geodesic Analysis for data on SO(3).

Salem Said, Nicolas Courty, Nicolas Le Bihan, Stephen J. Sangwine

Proceedings of the 15th European Signal Processing Conference, 2007