Region Covariance: A Fast Descriptor for Detection and Classification, In: ECCV, vol.60, 2006. ,
DOI : 10.1023/B:VISI.0000029664.99615.94
Kernel methods on the Riemannian manifold of symmetric positive definite matrices, 2013. ,
Gabor-Based Region Covariance Matrices for Face Recognition, IEEE Transactions on Circuits and Systems for Video Technology, vol.18, issue.7, pp.989-993, 2008. ,
DOI : 10.1109/TCSVT.2008.924108
BiCov: a novel image representation for person re-identification and face verification, Procedings of the British Machine Vision Conference 2012, 2012. ,
DOI : 10.5244/C.26.57
URL : https://hal.archives-ouvertes.fr/hal-00806112
Dirichlet process mixture models on symmetric positive definite matrices for appearance clustering in video surveillance applications, CVPR 2011, pp.3417-3424, 2011. ,
DOI : 10.1109/CVPR.2011.5995723
Compact covariance descriptors in 3D point clouds for object recognition, 2012 IEEE International Conference on Robotics and Automation, 2012. ,
DOI : 10.1109/ICRA.2012.6224740
Affine Object Tracking Using Kernel-Based Region Covariance Descriptors, Foundations of Intelligent Systems, pp.613-623, 2012. ,
DOI : 10.1007/978-3-642-25664-6_72
Image Denoising Via Learned Dictionaries and Sparse representation, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Volume 1 (CVPR'06), 2006. ,
DOI : 10.1109/CVPR.2006.142
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.98.1515
Sparse coding with an overcomplete basis set: A strategy employed by V1?, Vision Research, vol.37, issue.23, pp.3311-3325, 1997. ,
DOI : 10.1016/S0042-6989(97)00169-7
Learning Sparse Representations for Human Action Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.34, issue.8, pp.1576-1588, 2012. ,
DOI : 10.1109/TPAMI.2011.253
Robust Face Recognition via Sparse Representation, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.31, issue.2, pp.210-227, 2009. ,
DOI : 10.1109/TPAMI.2008.79
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.152.4658
Linear spatial pyramid matching using sparse coding for image classification, 2009. ,
A Riemannian Framework for Tensor Computing, International Journal of Computer Vision, vol.6, issue.2, pp.41-66, 2006. ,
DOI : 10.1007/s11263-005-3222-z
URL : https://hal.archives-ouvertes.fr/inria-00070743
Tensor Sparse Coding for Region Covariances, 2010. ,
DOI : 10.1007/978-3-642-15561-1_52
Generalized Dictionary Learning for Symmetric Positive Definite Matrices with Application to Nearest Neighbor Retrieval, 2011. ,
DOI : 10.1198/016214507000000581
Log-Euclidean metrics for fast and simple calculus on diffusion tensors, Magnetic Resonance in Medicine, vol.52, issue.2, pp.411-421, 2006. ,
DOI : 10.1002/mrm.20965
URL : https://hal.archives-ouvertes.fr/inria-00502678
Action Recognition Using Sparse Representation on Covariance Manifolds of Optical Flow, 2010 7th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2010. ,
DOI : 10.1109/AVSS.2010.71
On a nonlinear generalization of sparse coding and dictionary learning, In: ICML, 2013. ,
Sparse Coding and Dictionary Learning for Symmetric Positive Definite Matrices: A Kernel Approach, ECCV, Springer (2012) 21. Sra, S.: Positive definite matrices and the S-divergence. arXiv preprint, 2011. ,
DOI : 10.1007/978-3-642-33709-3_16
Kernel Methods on the Riemannian Manifold of Symmetric Positive Definite Matrices, 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013. ,
DOI : 10.1109/CVPR.2013.17
Log-Euclidean Kernels for Sparse Representation and Dictionary Learning, 2013 IEEE International Conference on Computer Vision, 2013. ,
DOI : 10.1109/ICCV.2013.202
Positive Definite Matrices, 2007. ,
DOI : 10.1515/9781400827787
URL : https://hal.archives-ouvertes.fr/hal-01500514
Fundamentals of convex analysis, 2001. ,
DOI : 10.1007/978-3-642-56468-0
Functions of Matrices: Theory and Computation, SIAM, 2008. ,
DOI : 10.1137/1.9780898717778
Two-Point Step Size Gradient Methods, IMA Journal of Numerical Analysis, vol.8, issue.1, 1988. ,
DOI : 10.1093/imanum/8.1.141
Optimizing Costly Functions with Simple Constraints: A Limited-Memory Projected Quasi-Newton Algorithm, In: AISTATS, 2009. ,
Algorithm 813: SPG---Software for Convex-Constrained Optimization, ACM Transactions on Mathematical Software, vol.27, issue.3, pp.340-349, 2001. ,
DOI : 10.1145/502800.502803
Texture and color segmentation based on the combined use of the structure tensor and the image components, Signal Processing, vol.88, issue.4, pp.776-795, 2008. ,
DOI : 10.1016/j.sigpro.2007.09.019
Rapid texture identification, 24th Annual Technical Symposium, International Society for Optics and Photonics, pp.376-381, 1980. ,
Learning Discriminative Appearance-Based Models Using Partial Least Squares, 2009 XXII Brazilian Symposium on Computer Graphics and Image Processing, 2009. ,
DOI : 10.1109/SIBGRAPI.2009.42
A large-scale hierarchical multi-view RGB-D object dataset, 2011 IEEE International Conference on Robotics and Automation, 2011. ,
DOI : 10.1109/ICRA.2011.5980382
Covariance based point cloud descriptors for object detection and classification, 2013. ,