Gaussian distributions on Riemannian symmetric spaces: statistical learning with structured covariance matrices

S Said, H Hajri, L Bombrun… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
The Riemannian geometry of covariance matrices has been essential to several successful
applications, in computer vision, biomedical signal and image processing, and radar data …
被引用次数：80 相关文章
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[PDF][PDF] Gaussian distributions on Riemannian symmetric spaces: statistical learning with structured covariance matrices

S Said, H Hajri, L Bombrun, BC Vemuri - ieeexplore.ieee.org
The Riemannian geometry of covariance matrices has been essential to several successful
applications, in computer vision, biomedical signal and image processing, and radar data …

Gaussian distributions on Riemannian symmetric spaces: statistical learning with structured covariance matrices

S Said, H Hajri, L Bombrun, BC Vemuri - arXiv preprint arXiv:1607.06929, 2016 - arxiv.org
The Riemannian geometry of covariance matrices has been essential to several successful
applications, in computer vision, biomedical signal and image processing, and radar data …

Gaussian distributions on Riemannian symmetric spaces: statistical learning with structured covariance matrices

S Said, H Hajri, L Bombrun, BC Vemuri - arXiv e-prints, 2016 - ui.adsabs.harvard.edu
The Riemannian geometry of covariance matrices has been essential to several successful
applications, in computer vision, biomedical signal and image processing, and radar data …

[引用][C] Gaussian Distributions on Riemannian Symmetric Spaces: Statistical Learning With Structured Covariance Matrices

S Said, H Hajri, L Bombrun, B Vemuri - IEEE Transactions on …, 2018 - hal.science
Gaussian Distributions on Riemannian Symmetric Spaces: Statistical Learning With Structured
Covariance Matrices - Archive ouverte HAL Accéder directement au contenu Documentation …

Gaussian Distributions on Riemannian Symmetric Spaces: Statistical Learning With Structured Covariance Matrices

S Said, H Hajri, L Bombrun, BC Vemuri - IEEE Transactions on …, 2018 - dl.acm.org
The Riemannian geometry of covariance matrices has been essential to several successful
applications, in computer vision, biomedical signal and image processing, and radar data …