S. Said

Yannick Berthoumieu, Salem Said, Jialun Zhou, 2019, 2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).

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

Baba C. Vemuri, Salem Said, Lionel Bombrun, 2016, IEEE Transactions on Information Theory.

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

Christian Jutten, Marco Congedo, Yannick Berthoumieu, 2018, IEEE Transactions on Biomedical Engineering.

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

S. Said, C. Mostajeran, Simon Heuveline, 2021, IEEE Transactions on Information Theory.

Convergence Analysis of Riemannian Stochastic Approximation Schemes pdf

Alain Durmus, Salem Said, Hoi-To Wai, 2020, ArXiv.

Conformally Covariant Bi-Differential Operators on a Simple Real Jordan Algebra

S. Said, J. Clerc, K. Koufany, 2017, 1704.01817.

Riemannian Gaussian Distributions on the Space of Symmetric Positive Definite Matrices

Jonathan H. Manton, Yannick Berthoumieu, Salem Said, 2015, IEEE Transactions on Information Theory.

Nonparametric estimation for compound poisson processes on compact Lie groups

Christian Lageman, Nicolas Le Bihan, Jonathan H. Manton, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Fast Complexified Quaternion Fourier Transform

Nicolas Le Bihan, Stephen J. Sangwine, Salem Said, 2006, IEEE Transactions on Signal Processing.

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

Yannick Berthoumieu, Salem Said, Lionel Bombrun, 2018, J. Imaging.

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

Marc Donias, Jean-Pierre Da Costa, Salem Said, 2017, IEEE Transactions on Geoscience and Remote Sensing.

Laguerre semigroup and Dunkl operators

S. Said, Toshiyuki Kobayashi, B. Orsted, 2009, Compositio Mathematica.

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

Jonathan H. Manton, Salem Said, J. Manton, 2013, SIAM J. Control. Optim..

Bessel-type functions of matrix variables

S. Said, 2005 .

New Riemannian Priors on the Univariate Normal Model

Yannick Berthoumieu, Salem Said, Lionel Bombrun, 2014, Entropy.

Lp harmonic analysis for differential-reflection operators

S. Said, M. Sifi, Asma Boussen, 2016 .

$L^p$-Fourier analysis associated to a family of differential-reflection operators

S. Said, M. Sifi, Asma Boussen, 2016 .

On a family of differential-reflection operators: intertwining operators and Fourier transform of rapidly decreasing functions

S. Said, M. Sifi, Asma Boussen, 2015, 1507.00936.

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

Tülay Adali, Yannick Berthoumieu, Salem Said, 2015, IEEE Signal Processing Letters.

Fatou's theorems and Hardy-type spaces foreigenfunctions of the invariant differential operators on symmetric spaces

S. Said, T. Oshima, N. Shimeno, 2003 .

Translation operator and maximal function for the (k,1)-generalized Fourier transform

S. Said, L. Deleaval, 2020 .

Exact Principal Geodesic Analysis for data on SO(3)

Nicolas Courty, Nicolas Le Bihan, Stephen J. Sangwine, 2007, 2007 15th European Signal Processing Conference.

A Radial Basis Scale Conjugate Gradient Deep Neural Network for the Monkeypox Transmission System

Z. Sabir, S. Said, Juan L. G. Guirao, 2023, Mathematics.

Extrinsic Mean of Brownian Distributions on Compact Lie Groups

Jonathan H. Manton, Salem Said, J. Manton, 2012, IEEE Transactions on Information Theory.

Riemannian geometry for Compound Gaussian distributions: application to recursive change detection

Yannick Berthoumieu, Salem Said, Guillaume Ginolhac, 2020, Signal Process..

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

Yannick Berthoumieu, Salem Said, Lionel Bombrun, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

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

Yannick Berthoumieu, Salem Said, Lionel Bombrun, 2015, GSI.

Riemannian barycentres of Gibbs distributions: new results on concentration and convexity in compact symmetric spaces

J. Manton, S. Said, 2021, Information Geometry.

On Riemannian Stochastic Approximation Schemes with Fixed Step-Size pdf

Alain Durmus, Salem Said, Éric Moulines, 2021, AISTATS.

Convergence Analysis of Riemannian Stochastic Approximation Schemes

É. Moulines, Alain Durmus, Hoi-To Wai, 2020, arXiv.org.

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

E. Zois, A. Alexandridis, S. Said, 2023, Pattern Recognit. Lett..

The Riemannian Barycentre as a Proxy for Global Optimisation

Jonathan H. Manton, Salem Said, J. Manton, 2019, GSI.

An M-Estimator for Robust Centroid Estimation on the Manifold of Covariance Matrices

Christian Germain, Romulus Terebes, Monica Borda, 2016, IEEE Signal Processing Letters.

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

Pierre-Olivier Amblard, Jonathan H. Manton, Salem Said, 2013, IEEE Transactions on Information Theory.

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

Christian Jutten, Marco Congedo, Yannick Berthoumieu, 2016, 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM).

Fast, Asymptotically Efficient, Recursive Estimation in a Riemannian Manifold

Salem Said, Jialun Zhou, S. Said, 2018, Entropy.

Maximum Likelihood Estimators on Manifolds

Yannick Berthoumieu, Salem Said, Hatem Hajri, 2017, GSI.

The source operator method: an overview

S. Said, J. Clerc, K. Koufany, 2023, 2307.12141.