Salem Said

Publication Activity (10 Years)

Years Active: 2007-2023
Publications (10 Years): 37

Top Topics

Covariance Matrices

Approximation Schemes

Symmetric Positive Definite Matrices

Top Venues

IEEE Trans. Inf. Theory

Signal Process.

Publications

Nathaël Da Costa, Cyrus Mostajeran, Juan-Pablo Ortega, Salem Said
Geometric Learning with Positively Decomposable Kernels. CoRR (2023)
Salem Said, Simon Heuveline, Cyrus Mostajeran
Riemannian Statistics Meets Random Matrix Theory: Toward Learning From High-Dimensional Covariance Matrices. IEEE Trans. Inf. Theory 69 (1) (2023)
Salem Said, Cyrus Mostajeran
Determinantal Expressions of Certain Integrals on Symmetric Spaces. GSI (1) (2023)
Nathaël Da Costa, Cyrus Mostajeran, Juan-Pablo Ortega, Salem Said
Invariant kernels on Riemannian symmetric spaces: a harmonic-analytic approach. CoRR (2023)
Elias N. Zois, Salem Said, Dimitrios Tsourounis, Alex Alexandridis
Subscripto multiplex: A Riemannian symmetric positive definite strategy for offline signature verification. Pattern Recognit. Lett. 167 (2023)
Jialun Zhou, Salem Said, Yannick Berthoumieu
Riemannian information gradient methods for the parameter estimation of ECD. Signal Process. 192 (2022)
Berlin Chen, Cyrus Mostajeran, Salem Said
Geometric Learning of Hidden Markov Models via a Method of Moments Algorithm. CoRR (2022)
Quinten Tupker, Salem Said, Cyrus Mostajeran
Online Learning of Riemannian Hidden Markov Models in Homogeneous Hadamard Spaces. GSI (2021)
Alain Durmus, Pablo Jiménez, Eric Moulines, Salem Said
On Riemannian Stochastic Approximation Schemes with Fixed Step-Size. AISTATS (2021)
Simon Heuveline, Salem Said, Cyrus Mostajeran
Gaussian Distributions on Riemannian Symmetric Spaces in the Large N Limit. GSI (2021)
Alain Durmus, Pablo Jiménez, Éric Moulines, Salem Said
On Riemannian Stochastic Approximation Schemes with Fixed Step-Size. CoRR (2021)
Salem Said, Nicolas Le Bihan, Jonathan H. Manton
From Bayesian Inference to MCMC and Convex Optimisation in Hadamard Manifolds. GSI (2021)
Quinten Tupker, Salem Said, Cyrus Mostajeran
Online learning of Riemannian hidden Markov models in homogeneous Hadamard spaces. CoRR (2021)
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 (2020)
Alain Durmus, Pablo Jiménez, Éric Moulines, Salem Said, Hoi-To Wai
Convergence Analysis of Riemannian Stochastic Approximation Schemes. CoRR (2020)
Florent Bouchard, Ammar Mian, Jialun Zhou, Salem Said, Guillaume Ginolhac, Yannick Berthoumieu
Riemannian geometry for Compound Gaussian distributions: application to recursive change detection. CoRR (2020)
Jialun Zhou, Salem Said
Fast, Asymptotically Efficient, Recursive Estimation in a Riemannian Manifold. Entropy 21 (10) (2019)
Salem Said, Jonathan H. Manton
The Riemannian Barycentre as a Proxy for Global Optimisation. GSI (2019)
Jialun Zhou, Salem Said, Yannick Berthoumieu
Online estimation of MGGD: the Riemannian Averaged Natural Gradient method. CAMSAP (2019)
Salem Said, Hatem Hajri, Lionel Bombrun, Baba C. Vemuri
Gaussian Distributions on Riemannian Symmetric Spaces: Statistical Learning With Structured Covariance Matrices. IEEE Trans. Inf. Theory 64 (2) (2018)
Ioana Ilea, Lionel Bombrun, Salem Said, Yannick Berthoumieu
Covariance Matrices Encoding Based on the Log-Euclidean and Affine Invariant Riemannian Metrics. CVPR Workshops (2018)
Ioana Ilea, Lionel Bombrun, Salem Said, Yannick Berthoumieu
Fisher Vector Coding for Covariance Matrix Descriptors Based on the Log-Euclidean and Affine Invariant Riemannian Metrics. J. Imaging 4 (7) (2018)
Paolo Zanini, Marco Congedo, Christian Jutten, Salem Said, Yannick Berthoumieu
Transfer Learning: A Riemannian Geometry Framework With Applications to Brain-Computer Interfaces. IEEE Trans. Biomed. Eng. 65 (5) (2018)
Paolo Zanini, Salem Said, Yannick Berthoumieu, Marco Congedo, Christian Jutten
Riemannian Online Algorithms for Estimating Mixture Model Parameters. GSI (2017)
Yannick Berthoumieu, Lionel Bombrun, Christian Germain, Salem Said
Classification approach based on the product of riemannian manifolds from Gaussian parametrization space. ICIP (2017)
Salem Said, Nicolas Le Bihan, Jonathan H. Manton
Riemannian Gaussian Distributions on the Space of Positive-Definite Quaternion Matrices. GSI (2017)
Salem Said, Lionel Bombrun, Yannick Berthoumieu, Jonathan H. Manton
Riemannian Gaussian Distributions on the Space of Symmetric Positive Definite Matrices. IEEE Trans. Inf. Theory 63 (4) (2017)
Hatem Hajri, Salem Said, Lionel Bombrun, Yannick Berthoumieu
A geometric learning approach on the space of complex covariance matrices. ICASSP (2017)
Roxana-Gabriela Rosu, Marc Donias, Lionel Bombrun, Salem Said, Olivier Regniers, Jean-Pierre Da Costa
Structure Tensor Riemannian Statistical Models for CBIR and Classification of Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 55 (1) (2017)
Ioana Ilea, Lionel Bombrun, Salem Said, Yannick Berthoumieu
Co-occurrence Matrix of Covariance Matrices: A Novel Coding Model for the Classification of Texture Images. GSI (2017)
Salem Said, Yannick Berthoumieu
Warped Metrics for Location-Scale Models. GSI (2017)
Paolo Zanini, Salem Said, Charles C. Cavalcante, Yannick Berthoumieu
Stochastic EM algorithm for mixture estimation on manifolds. CAMSAP (2017)
Hatem Hajri, Salem Said, Yannick Berthoumieu
Maximum Likelihood Estimators on Manifolds. GSI (2017)
Jérémie Boulanger, Salem Said, Nicolas Le Bihan, Jonathan H. Manton
Filtering from observations on Stiefel manifolds. Signal Process. 122 (2016)
Hatem Hajri, Ioana Ilea, Salem Said, Lionel Bombrun, Yannick Berthoumieu
Riemannian Laplace Distribution on the Space of Symmetric Positive Definite Matrices. Entropy 18 (3) (2016)
Ioana Ilea, Hatem Hajri, Salem Said, Lionel Bombrun, Christian Germain, Yannick Berthoumieu
An M-estimator for robust centroid estimation on the manifold of covariance matrices: Performance analysis and application to image classification. EUSIPCO (2016)
Paolo Zanini, Marco Congedo, Christian Jutten, Salem Said, Yannick Berthoumieu
Parameters estimate of Riemannian Gaussian distribution in the manifold of covariance matrices. SAM (2016)
Salem Said, Jonathan H. Manton
Particle filtering with observations in a manifold. ICASSP (2015)
Salem Said, Lionel Bombrun, Yannick Berthoumieu
Texture classification using Rao's distance: An EM algorithm on the poincaré half plane. ICIP (2015)
Salem Said, Lionel Bombrun, Yannick Berthoumieu
Texture Classification Using Rao's Distance on the Space of Covariance Matrices. GSI (2015)
Zois Boukouvalas, Salem Said, Lionel Bombrun, Yannick Berthoumieu, Tülay Adali
A New Riemannian Averaged Fixed-Point Algorithm for MGGD Parameter Estimation. IEEE Signal Process. Lett. 22 (12) (2015)
Jérémie Boulanger, Nicolas Le Bihan, Salem Said, Jonathan H. Manton
Monte-carlo estimation from observation on stiefel manifold. ICASSP (2014)
Salem Said, Lionel Bombrun, Yannick Berthoumieu
New Riemannian Priors on the Univariate Normal Model. Entropy 16 (7) (2014)
Jérémie Boulanger, Salem Said, Nicolas Le Bihan, Jonathan H. Manton
Filtering from Observations on Stiefel Manifolds. CoRR (2014)
Salem Said, Jonathan H. Manton
On Filtering with Observation in a Manifold: Reduction to a Classical Filtering Problem. SIAM J. Control. Optim. 51 (1) (2013)
Salem Said, Pierre-Olivier Amblard, Jonathan H. Manton
Stationary Random Fields Arising From Second-Order Partial Differential Equations on Compact Lie Groups. IEEE Trans. Inf. Theory 59 (6) (2013)
Salem Said, Jonathan H. Manton
Extrinsic Mean of Brownian Distributions on Compact Lie Groups. IEEE Trans. Inf. Theory 58 (6) (2012)
Salem Said, Christian Lageman, Nicolas Le Bihan, Jonathan H. Manton
Decompounding on compact lie groups. IEEE Trans. Inf. Theory 56 (6) (2010)
Salem Said, Nicolas Le Bihan, Christian Lageman, Jonathan H. Manton
Nonparametric estimation for compound poisson processes on compact Lie groups. ICASSP (2009)
Salem Said, Christian Lageman, Nicolas Le Bihan, Jonathan H. Manton
Decompounding on compact Lie groups CoRR (2009)
Salem Said, Nicolas Le Bihan, Stephen J. Sangwine
Fast Complexified Quaternion Fourier Transform. IEEE Trans. Signal Process. 56 (4) (2008)
Salem Said, Nicolas Courty, Nicolas Le Bihan, Stephen J. Sangwine
Exact Principal Geodesic Analysis for data on SO(3). EUSIPCO (2007)