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Salem Said
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2020 – today
- 2023
- [j19]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: 67-74 (2023) - [j18]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): 472-481 (2023) - [c24]Salem Said, Cyrus Mostajeran:
Determinantal Expressions of Certain Integrals on Symmetric Spaces. GSI (1) 2023: 436-443 - [i9]Nathaël Da Costa, Cyrus Mostajeran, Juan-Pablo Ortega, Salem Said:
Geometric Learning with Positively Decomposable Kernels. CoRR abs/2310.13821 (2023) - [i8]Nathaël Da Costa, Cyrus Mostajeran, Juan-Pablo Ortega, Salem Said:
Invariant kernels on Riemannian symmetric spaces: a harmonic-analytic approach. CoRR abs/2310.19270 (2023) - 2022
- [j17]Jialun Zhou, Salem Said, Yannick Berthoumieu:
Riemannian information gradient methods for the parameter estimation of ECD. Signal Process. 192: 108376 (2022) - [i7]Berlin Chen, Cyrus Mostajeran, Salem Said:
Geometric Learning of Hidden Markov Models via a Method of Moments Algorithm. CoRR abs/2207.00818 (2022) - 2021
- [c23]Alain Durmus, Pablo Jiménez, Eric Moulines, Salem Said:
On Riemannian Stochastic Approximation Schemes with Fixed Step-Size. AISTATS 2021: 1018-1026 - [c22]Salem Said, Nicolas Le Bihan, Jonathan H. Manton:
From Bayesian Inference to MCMC and Convex Optimisation in Hadamard Manifolds. GSI 2021: 3-11 - [c21]Simon Heuveline, Salem Said, Cyrus Mostajeran:
Gaussian Distributions on Riemannian Symmetric Spaces in the Large N Limit. GSI 2021: 20-28 - [c20]Quinten Tupker, Salem Said, Cyrus Mostajeran:
Online Learning of Riemannian Hidden Markov Models in Homogeneous Hadamard Spaces. GSI 2021: 37-44 - [i6]Alain Durmus, Pablo Jiménez, Éric Moulines, Salem Said:
On Riemannian Stochastic Approximation Schemes with Fixed Step-Size. CoRR abs/2102.07586 (2021) - [i5]Quinten Tupker, Salem Said, Cyrus Mostajeran:
Online learning of Riemannian hidden Markov models in homogeneous Hadamard spaces. CoRR abs/2102.07771 (2021) - 2020
- [j16]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: 107716 (2020) - [i4]Florent Bouchard, Ammar Mian, Jialun Zhou, Salem Said, Guillaume Ginolhac, Yannick Berthoumieu:
Riemannian geometry for Compound Gaussian distributions: application to recursive change detection. CoRR abs/2005.10087 (2020) - [i3]Alain Durmus, Pablo Jiménez, Éric Moulines, Salem Said, Hoi-To Wai:
Convergence Analysis of Riemannian Stochastic Approximation Schemes. CoRR abs/2005.13284 (2020)
2010 – 2019
- 2019
- [j15]Jialun Zhou, Salem Said:
Fast, Asymptotically Efficient, Recursive Estimation in a Riemannian Manifold. Entropy 21(10): 1021 (2019) - [c19]Jialun Zhou, Salem Said, Yannick Berthoumieu:
Online estimation of MGGD: the Riemannian Averaged Natural Gradient method. CAMSAP 2019: 515-519 - [c18]Salem Said, Jonathan H. Manton:
The Riemannian Barycentre as a Proxy for Global Optimisation. GSI 2019: 657-664 - 2018
- [j14]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): 85 (2018) - [j13]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): 1107-1116 (2018) - [j12]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): 752-772 (2018) - [c17]Ioana Ilea, Lionel Bombrun, Salem Said, Yannick Berthoumieu:
Covariance Matrices Encoding Based on the Log-Euclidean and Affine Invariant Riemannian Metrics. CVPR Workshops 2018: 393-402 - 2017
- [j11]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): 248-260 (2017) - [j10]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): 2153-2170 (2017) - [c16]Paolo Zanini, Salem Said, Charles C. Cavalcante, Yannick Berthoumieu:
Stochastic EM algorithm for mixture estimation on manifolds. CAMSAP 2017: 1-5 - [c15]Salem Said, Yannick Berthoumieu:
Warped Metrics for Location-Scale Models. GSI 2017: 631-638 - [c14]Paolo Zanini, Salem Said, Yannick Berthoumieu, Marco Congedo, Christian Jutten:
Riemannian Online Algorithms for Estimating Mixture Model Parameters. GSI 2017: 675-683 - [c13]Hatem Hajri, Salem Said, Yannick Berthoumieu:
Maximum Likelihood Estimators on Manifolds. GSI 2017: 692-700 - [c12]Salem Said, Nicolas Le Bihan, Jonathan H. Manton:
Riemannian Gaussian Distributions on the Space of Positive-Definite Quaternion Matrices. GSI 2017: 709-716 - [c11]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: 736-744 - [c10]Hatem Hajri, Salem Said, Lionel Bombrun, Yannick Berthoumieu:
A geometric learning approach on the space of complex covariance matrices. ICASSP 2017: 2337-2341 - [c9]Yannick Berthoumieu, Lionel Bombrun, Christian Germain, Salem Said:
Classification approach based on the product of riemannian manifolds from Gaussian parametrization space. ICIP 2017: 206-210 - 2016
- [j9]Hatem Hajri, Ioana Ilea, Salem Said, Lionel Bombrun, Yannick Berthoumieu:
Riemannian Laplace Distribution on the Space of Symmetric Positive Definite Matrices. Entropy 18(3): 98 (2016) - [j8]Jérémie Boulanger, Salem Said, Nicolas Le Bihan, Jonathan H. Manton:
Filtering from observations on Stiefel manifolds. Signal Process. 122: 52-64 (2016) - [c8]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: 2196-2200 - [c7]Paolo Zanini, Marco Congedo, Christian Jutten, Salem Said, Yannick Berthoumieu:
Parameters estimate of Riemannian Gaussian distribution in the manifold of covariance matrices. SAM 2016: 1-5 - 2015
- [j7]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): 2314-2318 (2015) - [c6]Salem Said, Lionel Bombrun, Yannick Berthoumieu:
Texture Classification Using Rao's Distance on the Space of Covariance Matrices. GSI 2015: 371-378 - [c5]Salem Said, Jonathan H. Manton:
Particle filtering with observations in a manifold. ICASSP 2015: 5763-5767 - [c4]Salem Said, Lionel Bombrun, Yannick Berthoumieu:
Texture classification using Rao's distance: An EM algorithm on the poincaré half plane. ICIP 2015: 3466-3470 - 2014
- [j6]Salem Said, Lionel Bombrun, Yannick Berthoumieu:
New Riemannian Priors on the Univariate Normal Model. Entropy 16(7): 4015-4031 (2014) - [c3]Jérémie Boulanger, Nicolas Le Bihan, Salem Said, Jonathan H. Manton:
Monte-carlo estimation from observation on stiefel manifold. ICASSP 2014: 4195-4199 - [i2]Jérémie Boulanger, Salem Said, Nicolas Le Bihan, Jonathan H. Manton:
Filtering from Observations on Stiefel Manifolds. CoRR abs/1409.7442 (2014) - 2013
- [j5]Salem Said, Jonathan H. Manton:
On Filtering with Observation in a Manifold: Reduction to a Classical Filtering Problem. SIAM J. Control. Optim. 51(1): 767-783 (2013) - [j4]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): 3497-3513 (2013) - 2012
- [j3]Salem Said, Jonathan H. Manton:
Extrinsic Mean of Brownian Distributions on Compact Lie Groups. IEEE Trans. Inf. Theory 58(6): 3521-3535 (2012) - 2010
- [j2]Salem Said, Christian Lageman, Nicolas Le Bihan, Jonathan H. Manton:
Decompounding on compact lie groups. IEEE Trans. Inf. Theory 56(6): 2766-2777 (2010)
2000 – 2009
- 2009
- [c2]Salem Said, Nicolas Le Bihan, Christian Lageman, Jonathan H. Manton:
Nonparametric estimation for compound poisson processes on compact Lie groups. ICASSP 2009: 3409-3412 - [i1]Salem Said, Christian Lageman, Nicolas Le Bihan, Jonathan H. Manton:
Decompounding on compact Lie groups. CoRR abs/0907.2601 (2009) - 2008
- [j1]Salem Said, Nicolas Le Bihan, Stephen J. Sangwine:
Fast Complexified Quaternion Fourier Transform. IEEE Trans. Signal Process. 56(4): 1522-1531 (2008) - 2007
- [c1]Salem Said, Nicolas Courty, Nicolas Le Bihan, Stephen J. Sangwine:
Exact Principal Geodesic Analysis for data on SO(3). EUSIPCO 2007: 1701-1705
Coauthor Index
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