| Riemannian medians and means with applications to radar signal processing M Arnaudon, F Barbaresco, L Yang IEEE Journal of Selected Topics in Signal Processing 7 (4), 595-604, 2013 | 212 | 2013 |
| Matrix information geometry F Nielsen, R Bhatia Springer, 2013 | 173 | 2013 |
| Information geometry of covariance matrix: Cartan-Siegel homogeneous bounded domains, Mostow/Berger fibration and Frechet median F Barbaresco Matrix information geometry, 199-255, 2012 | 159 | 2012 |
| Innovative tools for radar signal processing based on Cartan’s geometry of SPD matrices & information geometry F Barbaresco 2008 IEEE Radar Conference, 1-6, 2008 | 155 | 2008 |
| Interactions between symmetric cone and information geometries: Bruhat-tits and siegel spaces models for high resolution autoregressive doppler imagery F Barbaresco LIX Fall Colloquium on Emerging Trends in Visual Computing, 124-163, 2008 | 146 | 2008 |
| Riemannian batch normalization for SPD neural networks D Brooks, O Schwander, F Barbaresco, JY Schneider, M Cord Advances in Neural Information Processing Systems 32, 2019 | 94 | 2019 |
| Medians and means in Riemannian geometry: existence, uniqueness and computation M Arnaudon, F Barbaresco, L Yang Matrix Information Geometry, 169-197, 2012 | 78 | 2012 |
| Koszul information geometry and Souriau geometric temperature/capacity of Lie group thermodynamics F Barbaresco Entropy 16 (8), 4521-4565, 2014 | 73 | 2014 |
| Radar detection using Siegel distance between autoregressive processes, application to HF and X-band radar J Lapuyade-Lahorgue, F Barbaresco 2008 IEEE Radar Conference, 1-6, 2008 | 73 | 2008 |
| A comparative study of large-scale variants of CMA-ES K Varelas, A Auger, D Brockhoff, N Hansen, OA ElHara, Y Semet, ... Parallel Problem Solving from Nature–PPSN XV: 15th International Conference …, 2018 | 72 | 2018 |
| Radar monitoring of a wake vortex: Electromagnetic reflection of wake turbulence in clear air F Barbaresco, U Meier Comptes rendus physique 11 (1), 54-67, 2010 | 72 | 2010 |
| Temporal deep learning for drone micro-Doppler classification DA Brooks, O Schwander, F Barbaresco, JY Schneider, M Cord 2018 19th International Radar Symposium (IRS), 1-10, 2018 | 65 | 2018 |
| Bayesian inference and maximum entropy methods in science and engineering RL Fry Bayesian Inference and Maximum Entropy Methods in Science and Engineering 617, 2002 | 65* | 2002 |
| Robust statistical radar processing in Fréchet metric space: OS-HDR-CFAR and OS-STAP processing in Siegel homogeneous bounded domains F Barbaresco 2011 12th International Radar Symposium (IRS), 639-644, 2011 | 61 | 2011 |
| New foundation of radar Doppler signal processing based on advanced differential geometry of symmetric spaces: Doppler matrix CFAR and radar application F Barbaresco International Radar Conference 82, 2009 | 61 | 2009 |
| Geometric theory of heat from Souriau Lie groups thermodynamics and Koszul Hessian geometry: Applications in information geometry for exponential families F Barbaresco Entropy 18 (11), 386, 2016 | 43 | 2016 |
| Riemannian median, geometry of covariance matrices and radar target detection L Yang, M Arnaudon, F Barbaresco The 7th European Radar Conference, 415-418, 2010 | 43 | 2010 |
| Lie group statistics and Lie group machine learning based on Souriau Lie groups thermodynamics & Koszul-Souriau-Fisher metric: New entropy definition as generalized Casimir … F Barbaresco Entropy 22 (6), 642, 2020 | 42 | 2020 |
| Intelligent M3R radar time resources management: advanced cognition, agility & autonomy capabilities F Barbaresco, JC Deltour, G Desodt, B Durand, T Guenais, C Labreuche 2009 International Radar Conference" Surveillance for a Safer World"(RADAR …, 2009 | 42 | 2009 |
| Lie group cohomology and (multi) symplectic integrators: new geometric tools for Lie group machine learning based on Souriau geometric statistical mechanics F Barbaresco, F Gay-Balmaz Entropy 22 (5), 498, 2020 | 41 | 2020 |
Marc ArnaudonUniversité de Bordeaux在 math.u-bordeaux.fr 的电子邮件经过验证
