Salem Said

发表

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).

Decompounding on Compact Lie Groups

Christian Lageman, Nicolas Le Bihan, Jonathan H. Manton, 2010, IEEE Transactions on Information Theory.

Online estimation of MGGD: the Riemannian Averaged Natural Gradient method

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

Riemannian Laplace Distribution on the Space of Symmetric Positive Definite Matrices

Yannick Berthoumieu, Salem Said, Lionel Bombrun, 2016, Entropy.

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

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

New Riemannian Priors on the Univariate Normal Model

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

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.

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

Christian Germain, Yannick Berthoumieu, Salem Said, 2016, IEEE Signal Processing Letters.

Fast, Asymptotically Efficient, Recursive Estimation in a Riemannian Manifold

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

Texture classification using Rao's distance: An EM algorithm on the poincaré half plane

Yannick Berthoumieu, Salem Said, Lionel Bombrun, 2015, 2015 IEEE International Conference on Image Processing (ICIP).

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

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

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.

Exact Principal Geodesic Analysis for data on SO(3)

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

Riemannian information gradient methods for the parameter estimation of ECD: Some applications in image processing

Yannick Berthoumieu, Salem Said, Jialun Zhou, 2020 .

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).

Riemannian Online Algorithms for Estimating Mixture Model Parameters

Christian Jutten, Marco Congedo, Yannick Berthoumieu, 2017, GSI.

Warped Metrics for Location-Scale Models

Yannick Berthoumieu, Salem Said, 2017, GSI.

A geometric learning approach on the space of complex covariance matrices

Yannick Berthoumieu, Salem Said, Lionel Bombrun, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Monte-carlo estimation from observation on stiefel manifold

Nicolas Le Bihan, Jonathan H. Manton, Salem Said, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Riemannian Gaussian Distributions on the Space of Positive-Definite Quaternion Matrices

Nicolas Le Bihan, Jonathan H. Manton, Salem Said, 2017, GSI.

Extrinsic Mean of Brownian Distributions on Compact Lie Groups

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

Convergence Analysis of Riemannian Stochastic Approximation Schemes pdf

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

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..

Co-occurrence Matrix of Covariance Matrices: A Novel Coding Model for the Classification of Texture Images

Yannick Berthoumieu, Salem Said, Lionel Bombrun, 2017, GSI.

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.

Maximum Likelihood Estimators on Manifolds

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

Classification approach based on the product of riemannian manifolds from Gaussian parametrization space

Christian Germain, Yannick Berthoumieu, Salem Said, 2017, 2017 IEEE International Conference on Image Processing (ICIP).

Riemannian Gaussian Distributions on the Space of Symmetric Positive Definite Matrices

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

Particle filtering with observations in a manifold

Jonathan H. Manton, Salem Said, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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.

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.

Filtering from observations on Stiefel manifolds pdf

Nicolas Le Bihan, Jonathan H. Manton, Salem Said, 2016, Signal Process..

Stochastic EM algorithm for mixture estimation on manifolds

Yannick Berthoumieu, Paolo Zanini, Salem Said, 2017, 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).

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

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

Fast Complexified Quaternion Fourier Transform

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

Hidden Markov chains and fields with observations in Riemannian manifolds

Nicolas Le Bihan, Jonathan H. Manton, Salem Said, 2021 .

Gaussian distributions on Riemannian symmetric spaces, random matrices, and planar Feynman diagrams.

Salem Said, Cyrus Mostajeran, Simon Heuveline, 2021 .

On Riemannian Stochastic Approximation Schemes with Fixed Step-Size pdf

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

Gaussian Distributions on Riemannian Symmetric Spaces in the Large N Limit

Salem Said, Cyrus Mostajeran, Simon Heuveline, 2021, GSI.