Exact Principal Geodesic Analysis for data on SO(3). - Salem Said; Nicolas Courty; Nicolas Le Bihan; Stephen J. Sangwine (EUSIPCO, 2007)

Fast Complexified Quaternion Fourier Transform. - Salem Said; Nicolas Le Bihan; Stephen J. Sangwine (IEEE Trans. Signal Process., 2008)

Nonparametric estimation for compound poisson processes on compact Lie groups. - Salem Said; Nicolas Le Bihan; Christian Lageman; Jonathan H. Manton (ICASSP, 2009)

Decompounding on compact lie groups. - Salem Said; Christian Lageman; Nicolas Le Bihan; Jonathan H. Manton (IEEE Trans. Inf. Theory, 2010)

Extrinsic Mean of Brownian Distributions on Compact Lie Groups. - Salem Said; Jonathan H. Manton (IEEE Trans. Inf. Theory, 2012)

On Filtering with Observation in a Manifold: Reduction to a Classical Filtering Problem. - Salem Said; Jonathan H. Manton (SIAM J. Control. Optim., 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)

Monte-carlo estimation from observation on stiefel manifold. - Jérémie Boulanger; Nicolas Le Bihan; Salem Said; Jonathan H. Manton (ICASSP, 2014)

New Riemannian Priors on the Univariate Normal Model. - Salem Said; Lionel Bombrun; Yannick Berthoumieu (Entropy, 2014)

Texture Classification Using Rao's Distance on the Space of Covariance Matrices. - Salem Said; Lionel Bombrun; Yannick Berthoumieu (GSI, 2015)

Particle filtering with observations in a manifold. - Salem Said; Jonathan H. Manton (ICASSP, 2015)

Texture classification using Rao's distance: An EM algorithm on the poincaré half plane. - Salem Said; Lionel Bombrun; Yannick Berthoumieu (ICIP, 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)

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 (EUSIPCO, 2016)

Parameters estimate of Riemannian Gaussian distribution in the manifold of covariance matrices. - Paolo Zanini; Marco Congedo; Christian Jutten; Salem Said; Yannick Berthoumieu (SAM, 2016)

Riemannian Laplace Distribution on the Space of Symmetric Positive Definite Matrices. - Hatem Hajri; Ioana Ilea; Salem Said; Lionel Bombrun; Yannick Berthoumieu (Entropy, 2016)

Filtering from observations on Stiefel manifolds. - Jérémie Boulanger; Salem Said; Nicolas Le Bihan; Jonathan H. Manton (Signal Process., 2016)

Stochastic EM algorithm for mixture estimation on manifolds. - Paolo Zanini; Salem Said; Charles C. Cavalcante; Yannick Berthoumieu (CAMSAP, 2017)

Maximum Likelihood Estimators on Manifolds. - Hatem Hajri; Salem Said; Yannick Berthoumieu (GSI, 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 (GSI, 2017)

Warped Metrics for Location-Scale Models. - Salem Said; Yannick Berthoumieu (GSI, 2017)

Riemannian Gaussian Distributions on the Space of Positive-Definite Quaternion Matrices. - Salem Said; Nicolas Le Bihan; Jonathan H. Manton (GSI, 2017)

Riemannian Online Algorithms for Estimating Mixture Model Parameters. - Paolo Zanini; Salem Said; Yannick Berthoumieu; Marco Congedo; Christian Jutten (GSI, 2017)

A geometric learning approach on the space of complex covariance matrices. - Hatem Hajri; Salem Said; Lionel Bombrun; Yannick Berthoumieu (ICASSP, 2017)

Classification approach based on the product of riemannian manifolds from Gaussian parametrization space. - Yannick Berthoumieu; Lionel Bombrun; Christian Germain; Salem Said (ICIP, 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)

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)

Covariance Matrices Encoding Based on the Log-Euclidean and Affine Invariant Riemannian Metrics. - Ioana Ilea; Lionel Bombrun; Salem Said; Yannick Berthoumieu (CVPR Workshops, 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)

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)

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)

Online estimation of MGGD: the Riemannian Averaged Natural Gradient method. - Jialun Zhou; Salem Said; Yannick Berthoumieu (CAMSAP, 2019)

The Riemannian Barycentre as a Proxy for Global Optimisation. - Salem Said; Jonathan H. Manton (GSI, 2019)

Fast, Asymptotically Efficient, Recursive Estimation in a Riemannian Manifold. - Jialun Zhou; Salem Said (Entropy, 2019)

Convergence Analysis of Riemannian Stochastic Approximation Schemes. - Alain Durmus; Pablo Jiménez; Éric Moulines; Salem Said; Hoi-To Wai (CoRR, 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)

On Riemannian Stochastic Approximation Schemes with Fixed Step-Size. - Alain Durmus; Pablo Jiménez; Eric Moulines; Salem Said (AISTATS, 2021)

Gaussian Distributions on Riemannian Symmetric Spaces in the Large N Limit. - Simon Heuveline; Salem Said; Cyrus Mostajeran (GSI, 2021)

From Bayesian Inference to MCMC and Convex Optimisation in Hadamard Manifolds. - Salem Said; Nicolas Le Bihan; Jonathan H. Manton (GSI, 2021)

Online Learning of Riemannian Hidden Markov Models in Homogeneous Hadamard Spaces. - Quinten Tupker; Salem Said; Cyrus Mostajeran (GSI, 2021)

Geometric Learning of Hidden Markov Models via a Method of Moments Algorithm. - Berlin Chen; Cyrus Mostajeran; Salem Said (CoRR, 2022)

Riemannian information gradient methods for the parameter estimation of ECD. - Jialun Zhou; Salem Said; Yannick Berthoumieu (Signal Process., 2022)

Determinantal Expressions of Certain Integrals on Symmetric Spaces. - Salem Said; Cyrus Mostajeran (GSI (1), 2023)

Geometric Learning with Positively Decomposable Kernels. - Nathaël Da Costa; Cyrus Mostajeran; Juan-Pablo Ortega; Salem Said (CoRR, 2023)

Invariant kernels on Riemannian symmetric spaces: a harmonic-analytic approach. - Nathaël Da Costa; Cyrus Mostajeran; Juan-Pablo Ortega; Salem Said (CoRR, 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)

Subscripto multiplex: A Riemannian symmetric positive definite strategy for offline signature verification. - Elias N. Zois; Salem Said; Dimitrios Tsourounis; Alex Alexandridis (Pattern Recognit. Lett., 2023)

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 (CoRR, 2025)