Salem Said - RankMe

59 papers A 1B 2Misc 4Journal 34Unranked 18

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Beyond $R$-Barycenters: An Effective Averaging Method on Stiefel and Grassmann Manifolds. IEEE Signal Process. Lett. Florent Bouchard, Nils Laurent, Salem Said, Nicolas Le Bihan
2025	J	`jnl`	Beyond R-barycenters: an effective averaging method on Stiefel and Grassmann manifolds. CoRR Florent Bouchard, Nils Laurent, Salem Said, Nicolas Le Bihan
2025	J	`jnl`	Invariant Kernels on Riemannian Symmetric Spaces: A Harmonic-Analytic Approach. SIAM J. Math. Data Sci. Nathaël Da Costa, Cyrus Mostajeran, Juan-Pablo Ortega, Salem Said
2025	J	`jnl`	Quasi-Synthetic Riemannian Data Generation for Writer-Independent Offline Signature Verification. CoRR Elias N. Zois, Moisés Díaz, Salem Said, Miguel A. Ferrer
2025	—	`conf`	Universal Kernels via Harmonic Analysis on Riemannian Symmetric Spaces. GSI (3) Franziskus Steinert, Salem Said, Cyrus Mostajeran
2025	J	`jnl`	Universal kernels via harmonic analysis on Riemannian symmetric spaces. CoRR Franziskus Steinert, Salem Said, Cyrus Mostajeran
2024	J	`jnl`	Geometric Learning with Positively Decomposable Kernels. J. Mach. Learn. Res. Nathaël Da Costa, Cyrus Mostajeran, Juan-Pablo Ortega, Salem Said
2023	—	`conf`	Determinantal Expressions of Certain Integrals on Symmetric Spaces. GSI (1) Salem Said, Cyrus Mostajeran
2023	J	`jnl`	Geometric Learning with Positively Decomposable Kernels. CoRR Nathaël Da Costa, Cyrus Mostajeran, Juan-Pablo Ortega, Salem Said
2023	J	`jnl`	Invariant kernels on Riemannian symmetric spaces: a harmonic-analytic approach. CoRR Nathaël Da Costa, Cyrus Mostajeran, Juan-Pablo Ortega, Salem Said
2023	J	`jnl`	Riemannian Statistics Meets Random Matrix Theory: Toward Learning From High-Dimensional Covariance Matrices. IEEE Trans. Inf. Theory Salem Said, Simon Heuveline, Cyrus Mostajeran
2023	J	`jnl`	Subscripto multiplex: A Riemannian symmetric positive definite strategy for offline signature verification. Pattern Recognit. Lett. Elias N. Zois, Salem Said, Dimitrios Tsourounis, Alex Alexandridis
2022	J	`jnl`	Geometric Learning of Hidden Markov Models via a Method of Moments Algorithm. CoRR Berlin Chen, Cyrus Mostajeran, Salem Said
2022	J	`jnl`	Riemannian information gradient methods for the parameter estimation of ECD. Signal Process. Jialun Zhou, Salem Said, Yannick Berthoumieu
2021	—	`conf`	From Bayesian Inference to MCMC and Convex Optimisation in Hadamard Manifolds. GSI Salem Said, Nicolas Le Bihan, Jonathan H. Manton
2021	—	`conf`	Gaussian Distributions on Riemannian Symmetric Spaces in the Large N Limit. GSI Simon Heuveline, Salem Said, Cyrus Mostajeran
2021	A	`conf`	On Riemannian Stochastic Approximation Schemes with Fixed Step-Size. AISTATS Alain Durmus, Pablo Jiménez, Eric Moulines, Salem Said
2021	J	`jnl`	On Riemannian Stochastic Approximation Schemes with Fixed Step-Size. CoRR Alain Durmus, Pablo Jiménez, Éric Moulines, Salem Said
2021	—	`conf`	Online Learning of Riemannian Hidden Markov Models in Homogeneous Hadamard Spaces. GSI Quinten Tupker, Salem Said, Cyrus Mostajeran
2021	J	`jnl`	Online learning of Riemannian hidden Markov models in homogeneous Hadamard spaces. CoRR Quinten Tupker, Salem Said, Cyrus Mostajeran
2020	J	`jnl`	Convergence Analysis of Riemannian Stochastic Approximation Schemes. CoRR Alain Durmus, Pablo Jiménez, Éric Moulines, Salem Said, Hoi-To Wai
2020	J	`jnl`	Riemannian geometry for Compound Gaussian distributions: application to recursive change detection. CoRR Florent Bouchard, Ammar Mian, Jialun Zhou, Salem Said, Guillaume Ginolhac, Yannick Berthoumieu
2020	J	`jnl`	Riemannian geometry for compound Gaussian distributions: Application to recursive change detection. Signal Process. Florent Bouchard, Ammar Mian, Jialun Zhou, Salem Said, Guillaume Ginolhac, Yannick Berthoumieu
2019	J	`jnl`	Fast, Asymptotically Efficient, Recursive Estimation in a Riemannian Manifold. Entropy Jialun Zhou, Salem Said
2019	—	`conf`	Online estimation of MGGD: the Riemannian Averaged Natural Gradient method. CAMSAP Jialun Zhou, Salem Said, Yannick Berthoumieu
2019	—	`conf`	The Riemannian Barycentre as a Proxy for Global Optimisation. GSI Salem Said, Jonathan H. Manton
2018	—	`conf`	Covariance Matrices Encoding Based on the Log-Euclidean and Affine Invariant Riemannian Metrics. CVPR Workshops Ioana Ilea, Lionel Bombrun, Salem Said, Yannick Berthoumieu
2018	J	`jnl`	Fisher Vector Coding for Covariance Matrix Descriptors Based on the Log-Euclidean and Affine Invariant Riemannian Metrics. J. Imaging Ioana Ilea, Lionel Bombrun, Salem Said, Yannick Berthoumieu
2018	J	`jnl`	Gaussian Distributions on Riemannian Symmetric Spaces: Statistical Learning With Structured Covariance Matrices. IEEE Trans. Inf. Theory Salem Said, Hatem Hajri, Lionel Bombrun, Baba C. Vemuri
2018	J	`jnl`	Transfer Learning: A Riemannian Geometry Framework With Applications to Brain-Computer Interfaces. IEEE Trans. Biomed. Eng. Paolo Zanini, Marco Congedo, Christian Jutten, Salem Said, Yannick Berthoumieu
2017	Misc	`conf`	A geometric learning approach on the space of complex covariance matrices. ICASSP Hatem Hajri, Salem Said, Lionel Bombrun, Yannick Berthoumieu
2017	B	`conf`	Classification approach based on the product of riemannian manifolds from Gaussian parametrization space. ICIP Yannick Berthoumieu, Lionel Bombrun, Christian Germain, Salem Said
2017	—	`conf`	Co-occurrence Matrix of Covariance Matrices: A Novel Coding Model for the Classification of Texture Images. GSI Ioana Ilea, Lionel Bombrun, Salem Said, Yannick Berthoumieu
2017	—	`conf`	Maximum Likelihood Estimators on Manifolds. GSI Hatem Hajri, Salem Said, Yannick Berthoumieu
2017	—	`conf`	Riemannian Gaussian Distributions on the Space of Positive-Definite Quaternion Matrices. GSI Salem Said, Nicolas Le Bihan, Jonathan H. Manton
2017	J	`jnl`	Riemannian Gaussian Distributions on the Space of Symmetric Positive Definite Matrices. IEEE Trans. Inf. Theory Salem Said, Lionel Bombrun, Yannick Berthoumieu, Jonathan H. Manton
2017	—	`conf`	Riemannian Online Algorithms for Estimating Mixture Model Parameters. GSI Paolo Zanini, Salem Said, Yannick Berthoumieu, Marco Congedo, Christian Jutten
2017	—	`conf`	Stochastic EM algorithm for mixture estimation on manifolds. CAMSAP Paolo Zanini, Salem Said, Charles C. Cavalcante, Yannick Berthoumieu
2017	J	`jnl`	Structure Tensor Riemannian Statistical Models for CBIR and Classification of Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. Roxana-Gabriela Rosu, Marc Donias, Lionel Bombrun, Salem Said, Olivier Regniers, Jean-Pierre Da Costa
2017	—	`conf`	Warped Metrics for Location-Scale Models. GSI Salem Said, Yannick Berthoumieu
2016	—	`conf`	An M-estimator for robust centroid estimation on the manifold of covariance matrices: Performance analysis and application to image classification. EUSIPCO Ioana Ilea, Hatem Hajri, Salem Said, Lionel Bombrun, Christian Germain, Yannick Berthoumieu
2016	J	`jnl`	Filtering from observations on Stiefel manifolds. Signal Process. Jérémie Boulanger, Salem Said, Nicolas Le Bihan, Jonathan H. Manton
2016	—	`conf`	Parameters estimate of Riemannian Gaussian distribution in the manifold of covariance matrices. SAM Paolo Zanini, Marco Congedo, Christian Jutten, Salem Said, Yannick Berthoumieu
2016	J	`jnl`	Riemannian Laplace Distribution on the Space of Symmetric Positive Definite Matrices. Entropy Hatem Hajri, Ioana Ilea, Salem Said, Lionel Bombrun, Yannick Berthoumieu
2015	J	`jnl`	A New Riemannian Averaged Fixed-Point Algorithm for MGGD Parameter Estimation. IEEE Signal Process. Lett. Zois Boukouvalas, Salem Said, Lionel Bombrun, Yannick Berthoumieu, Tülay Adali
2015	Misc	`conf`	Particle filtering with observations in a manifold. ICASSP Salem Said, Jonathan H. Manton
2015	—	`conf`	Texture Classification Using Rao's Distance on the Space of Covariance Matrices. GSI Salem Said, Lionel Bombrun, Yannick Berthoumieu
2015	B	`conf`	Texture classification using Rao's distance: An EM algorithm on the poincaré half plane. ICIP Salem Said, Lionel Bombrun, Yannick Berthoumieu
2014	J	`jnl`	Filtering from Observations on Stiefel Manifolds. CoRR Jérémie Boulanger, Salem Said, Nicolas Le Bihan, Jonathan H. Manton
2014	Misc	`conf`	Monte-carlo estimation from observation on stiefel manifold. ICASSP Jérémie Boulanger, Nicolas Le Bihan, Salem Said, Jonathan H. Manton
2014	J	`jnl`	New Riemannian Priors on the Univariate Normal Model. Entropy Salem Said, Lionel Bombrun, Yannick Berthoumieu
2013	J	`jnl`	On Filtering with Observation in a Manifold: Reduction to a Classical Filtering Problem. SIAM J. Control. Optim. Salem Said, Jonathan H. Manton
2013	J	`jnl`	Stationary Random Fields Arising From Second-Order Partial Differential Equations on Compact Lie Groups. IEEE Trans. Inf. Theory Salem Said, Pierre-Olivier Amblard, Jonathan H. Manton
2012	J	`jnl`	Extrinsic Mean of Brownian Distributions on Compact Lie Groups. IEEE Trans. Inf. Theory Salem Said, Jonathan H. Manton
2010	J	`jnl`	Decompounding on compact lie groups. IEEE Trans. Inf. Theory Salem Said, Christian Lageman, Nicolas Le Bihan, Jonathan H. Manton
2009	J	`jnl`	Decompounding on compact Lie groups CoRR Salem Said, Christian Lageman, Nicolas Le Bihan, Jonathan H. Manton
2009	Misc	`conf`	Nonparametric estimation for compound poisson processes on compact Lie groups. ICASSP Salem Said, Nicolas Le Bihan, Christian Lageman, Jonathan H. Manton
2008	J	`jnl`	Fast Complexified Quaternion Fourier Transform. IEEE Trans. Signal Process. Salem Said, Nicolas Le Bihan, Stephen J. Sangwine
2007	—	`conf`	Exact Principal Geodesic Analysis for data on SO(3). EUSIPCO Salem Said, Nicolas Courty, Nicolas Le Bihan, Stephen J. Sangwine