暂无分享,去创建一个
[1] S. Lang. Fundamentals of differential geometry , 1998 .
[2] Hyeonjoon Moon,et al. The FERET Evaluation Methodology for Face-Recognition Algorithms , 2000, IEEE Trans. Pattern Anal. Mach. Intell..
[3] Rama Chellappa,et al. Statistical Analysis on Manifolds and Its Applications to Video Analysis , 2010, Video Search and Mining.
[4] Conrad Sanderson,et al. Relational divergence based classification on Riemannian manifolds , 2013, 2013 IEEE Workshop on Applications of Computer Vision (WACV).
[5] Brian C. Lovell,et al. Sparse Coding and Dictionary Learning for Symmetric Positive Definite Matrices: A Kernel Approach , 2012, ECCV.
[6] Larry S. Davis,et al. Covariance discriminative learning: A natural and efficient approach to image set classification , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[7] Rama Chellappa,et al. From sample similarity to ensemble similarity: probabilistic distance measures in reproducing kernel Hilbert space , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[8] Brian C. Lovell,et al. Random projections on manifolds of Symmetric Positive Definite matrices for image classification , 2014, IEEE Winter Conference on Applications of Computer Vision.
[9] N. Ayache,et al. Log‐Euclidean metrics for fast and simple calculus on diffusion tensors , 2006, Magnetic resonance in medicine.
[10] Rama Chellappa,et al. Ieee Transactions on Pattern Analysis and Machine Intelligence 1 Matching Shape Sequences in Video with Applications in Human Movement Analysis. Ieee Transactions on Pattern Analysis and Machine Intelligence 2 , 2022 .
[11] Yui Man Lui,et al. Tangent Bundles on Special Manifolds for Action Recognition , 2012, IEEE Transactions on Circuits and Systems for Video Technology.
[12] Hongdong Li,et al. Kernel Methods on Riemannian Manifolds with Gaussian RBF Kernels , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[13] Mehrtash Tafazzoli Harandi,et al. Bregman Divergences for Infinite Dimensional Covariance Matrices , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[14] Nello Cristianini,et al. Kernel Methods for Pattern Analysis , 2004 .
[15] ChellappaRama,et al. Matching Shape Sequences in Video with Applications in Human Movement Analysis , 2005 .
[16] S. Sra. Positive definite matrices and the Symmetric Stein Divergence , 2011 .
[17] Kristen Grauman,et al. Kernelized Locality-Sensitive Hashing , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[18] Bhiksha Raj,et al. Greedy sparsity-constrained optimization , 2011, 2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR).
[19] Xavier Pennec,et al. Intrinsic Statistics on Riemannian Manifolds: Basic Tools for Geometric Measurements , 2006, Journal of Mathematical Imaging and Vision.
[20] Mehrtash Tafazzoli Harandi,et al. Riemannian coding and dictionary learning: Kernels to the rescue , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[21] Larry S. Davis,et al. Learning Discriminative Appearance-Based Models Using Partial Least Squares , 2009, 2009 XXII Brazilian Symposium on Computer Graphics and Image Processing.
[22] René Vidal,et al. Sparse Subspace Clustering: Algorithm, Theory, and Applications , 2012, IEEE transactions on pattern analysis and machine intelligence.
[23] Moses Charikar,et al. Similarity estimation techniques from rounding algorithms , 2002, STOC '02.
[24] Mehrtash Harandi,et al. Graph-Embedding Discriminant Analysis on Riemannian Manifolds for Visual Recognition , 2013 .
[25] G. Borgefors,et al. Segmentation of virus particle candidates in transmission electron microscopy images , 2012, Journal of microscopy.
[26] Anoop Cherian,et al. Efficient similarity search for covariance matrices via the Jensen-Bregman LogDet Divergence , 2011, 2011 International Conference on Computer Vision.
[27] Vassilios Morellas,et al. Dirichlet process mixture models on symmetric positive definite matrices for appearance clustering in video surveillance applications , 2011, CVPR 2011.
[28] Stephen P. Boyd,et al. Convex Optimization , 2004, Algorithms and Theory of Computation Handbook.
[29] R. Vidal,et al. Sparse Subspace Clustering: Algorithm, Theory, and Applications. , 2013, IEEE transactions on pattern analysis and machine intelligence.
[30] Tai Sing Lee,et al. Image Representation Using 2D Gabor Wavelets , 1996, IEEE Trans. Pattern Anal. Mach. Intell..
[31] Dimitris Achlioptas,et al. Database-friendly random projections: Johnson-Lindenstrauss with binary coins , 2003, J. Comput. Syst. Sci..
[32] Luc Van Gool,et al. Depth and Appearance for Mobile Scene Analysis , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[33] Vassilios Morellas,et al. Tensor Sparse Coding for Region Covariances , 2010, ECCV.
[34] Trygve Randen,et al. Filtering for Texture Classification: A Comparative Study , 1999, IEEE Trans. Pattern Anal. Mach. Intell..
[35] Nicole Immorlica,et al. Locality-sensitive hashing scheme based on p-stable distributions , 2004, SCG '04.
[36] Anoop Cherian,et al. Generalized Dictionary Learning for Symmetric Positive Definite Matrices with Application to Nearest Neighbor Retrieval , 2011, ECML/PKDD.
[37] Alessandro Perina,et al. Person re-identification by symmetry-driven accumulation of local features , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[38] Janusz Konrad,et al. Action Recognition Using Sparse Representation on Covariance Manifolds of Optical Flow , 2010, 2010 7th IEEE International Conference on Advanced Video and Signal Based Surveillance.
[39] A. Bruckstein,et al. K-SVD : An Algorithm for Designing of Overcomplete Dictionaries for Sparse Representation , 2005 .