Name
Title | ||
|---|---|---|
Gaussian Distributions on Riemannian Symmetric Spaces: Statistical Learning With Structured Covariance Matrices. |
Abstract | ||
|---|---|---|
The Riemannian geometry of covariance matrices has been essential to several successful applications, in computer vision, biomedical signal and image processing, and radar data processing. For these applications, an important ongoing challenge is to develop Riemannian-geometric tools which are adapted to structured covariance matrices. This paper proposes to meet this challenge by introducing a ne... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TIT.2017.2713829 | IEEE Transactions on Information Theory |
Keywords | Field | DocType |
Covariance matrices,Gaussian distribution,Extraterrestrial measurements,Statistical learning,Estimation,Symmetric matrices | Covariance function,Estimation of covariance matrices,Rational quadratic covariance function,Matrix (mathematics),Statistics,Riemannian geometry,Matérn covariance function,Covariance mapping,Mathematics,Covariance | Journal |
Volume | Issue | ISSN |
64 | 2 | 0018-9448 |
Citations | PageRank | References |
0 | 0.34 | 17 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Salem Said | 1 | 59 | 12.54 |
| Hatem Hajri | 2 | 7 | 3.58 |
| Lionel Bombrun | 3 | 150 | 20.59 |
| B.C. Vemuri | 4 | 4208 | 536.42 |