F. Perronnin, J. Sánchez, and T. Mensink, Improving the Fisher Kernel for Large-Scale Image Classification, Proceedings of the 11th European Conference on Computer Vision: Part IV, pp.143-156, 2010.
DOI : 10.1007/978-3-642-15561-1_11

URL : https://hal.archives-ouvertes.fr/inria-00548630

F. Perronnin and D. Larlus, Fisher vectors meet Neural Networks: A hybrid classification architecture, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.3743-3752, 2015.
DOI : 10.1109/CVPR.2015.7298998

B. C. Lovell, S. Shirazi, C. Sanderson, and M. T. Harandi, Graph embedding discriminant analysis on grassmannian manifolds for improved image set matching, IEEE Conference on Computer Vision and Pattern Recognition, pp.2705-2712, 2011.

M. Faraki, M. T. Harandi, and F. Porikli, More about VLAD: A leap from Euclidean to Riemannian manifolds, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.4951-4960, 2015.
DOI : 10.1109/CVPR.2015.7299129

S. Jayasumana, R. Hartley, M. Salzmann, H. Li, and M. Harandi, Kernel Methods on Riemannian Manifolds with Gaussian RBF Kernels, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.37, issue.12, pp.2464-2477, 2015.
DOI : 10.1109/TPAMI.2015.2414422

URL : http://arxiv.org/pdf/1412.0265

J. Zhang, L. Wang, L. Zhou, and W. Li, Learning Discriminative Stein Kernel for SPD Matrices and Its Applications, IEEE Transactions on Neural Networks and Learning Systems, vol.27, issue.5, pp.1020-1033, 2016.
DOI : 10.1109/TNNLS.2015.2435154

URL : http://arxiv.org/pdf/1407.1974.pdf

O. Tuzel, F. Porikli, and P. Meer, Pedestrian Detection via Classification on Riemannian Manifolds, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.30, issue.10, pp.1713-1727, 2008.
DOI : 10.1109/TPAMI.2008.75

URL : http://www.merl.com/reports/docs/TR2008-037.pdf

Y. Pang, Y. Yuan, and X. Li, Gabor-based region covariance matrices for face recognition, IEEE Transactions on Circuits and Systems for Video Technology, pp.989-993, 2008.

B. Ma, Y. Su, and F. Jurie, BiCov: a novel image representation for person re-identification and face verification, Procedings of the British Machine Vision Conference 2012, p.11, 2012.
DOI : 10.5244/C.26.57

URL : https://hal.archives-ouvertes.fr/hal-00806112

S. Said, L. Bombrun, Y. Berthoumieu, J. Manton, I. Ilea et al., Riemannian gaussian distributions on the space of symmetric positive definite matrices Texture image classification with riemannian fisher vectors, IEEE Transactions on Information Theory 2016 IEEE International Conference on Image Processing, pp.3543-3547, 2016.

Z. Huang, R. Wang, S. Shan, X. Li, and X. Chen, Logeuclidean metric learning on symmetric positive definite manifold with application to image set classification, Proceedings of the 32nd International Conference on Machine Learning, ICML 2015, pp.6-11, 2015.

M. T. Harandi, M. Salzmann, and R. I. Hartley, Dimensionality Reduction on SPD Manifolds: The Emergence of Geometry-Aware Methods, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.40, issue.1, 1605.
DOI : 10.1109/TPAMI.2017.2655048

M. Lovric, M. Min-oo, and E. A. Ruh, Multivariate Normal Distributions Parametrized as a Riemannian Symmetric Space, Journal of Multivariate Analysis, vol.74, issue.1, pp.36-48, 2000.
DOI : 10.1006/jmva.1999.1853

R. Hosseini and S. Sra, Matrix manifold optimization for gaussian mixtures, Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, pp.910-918, 2015.

X. Pennec, Intrinsic Statistics on Riemannian Manifolds: Basic Tools for Geometric Measurements, Journal of Mathematical Imaging and Vision, vol.20, issue.10, pp.127-154, 2006.
DOI : 10.1007/978-3-642-75051-9

URL : https://hal.archives-ouvertes.fr/inria-00614994

M. Moakher, On the Averaging of Symmetric Positive-Definite Tensors, Journal of Elasticity, vol.38, issue.1, pp.273-296, 2006.
DOI : 10.1002/andp.18892741206

V. Arsigny, P. Fillard, X. Pennec, and N. Ayache, Geometric Means in a Novel Vector Space Structure on Symmetric Positive???Definite Matrices, SIAM Journal on Matrix Analysis and Applications, vol.29, issue.1, pp.328-347, 2007.
DOI : 10.1137/050637996

URL : https://hal.archives-ouvertes.fr/inria-00616031

G. Cheng and B. C. Vemuri, A Novel Dynamic System in the Space of SPD Matrices with Applications to Appearance Tracking, SIAM Journal on Imaging Sciences, vol.6, issue.1, pp.592-615, 2013.
DOI : 10.1137/110853376

B. Chen, Warped Products in Real Space Forms, Rocky Mountain Journal of Mathematics, vol.34, issue.2, pp.551-563, 2004.
DOI : 10.1216/rmjm/1181069867

A. Takatsu, Wasserstein geometry of gaussian measures, Osaka J. Math, vol.48, issue.12, pp.1005-1026, 2011.