Dictionary Learning on Grassmann Manifolds
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Mehrtash Harandi | Jochen Trumpf | Mathieu Salzmann | Richard Hartley | R. Hartley | M. Salzmann | J. Trumpf | M. Harandi
[1] Jonathan H. Manton,et al. A globally convergent numerical algorithm for computing the centre of mass on compact Lie groups , 2004, ICARCV 2004 8th Control, Automation, Robotics and Vision Conference, 2004..
[2] Guillermo Sapiro,et al. Discriminative learned dictionaries for local image analysis , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[3] K.A. Gallivan,et al. Efficient algorithms for inferences on Grassmann manifolds , 2004, IEEE Workshop on Statistical Signal Processing, 2003.
[4] Paul M. Thompson,et al. Segmentation of High Angular Resolution Diffusion MRI Using Sparse Riemannian Manifold Clustering , 2014, IEEE Transactions on Medical Imaging.
[5] N. Ayache,et al. Log‐Euclidean metrics for fast and simple calculus on diffusion tensors , 2006, Magnetic resonance in medicine.
[6] Ravi Ramamoorthi,et al. Analytic PCA Construction for Theoretical Analysis of Lighting Variability in Images of a Lambertian Object , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[7] Allen Y. Yang,et al. Robust Face Recognition via Sparse Representation , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[8] M. Elad,et al. $rm K$-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation , 2006, IEEE Transactions on Signal Processing.
[9] Daniel D. Lee,et al. Grassmann discriminant analysis: a unifying view on subspace-based learning , 2008, ICML '08.
[10] Brian C. Lovell,et al. Improved Image Set Classification via Joint Sparse Approximated Nearest Subspaces , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[11] Bill Triggs,et al. Histograms of oriented gradients for human detection , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[12] Mehrtash Tafazzoli Harandi,et al. More about VLAD: A leap from Euclidean to Riemannian manifolds , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[13] H. Karcher. Riemannian center of mass and mollifier smoothing , 1977 .
[14] Hongdong Li,et al. Kernel Methods on Riemannian Manifolds with Gaussian RBF Kernels , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[15] Rama Chellappa,et al. Unsupervised Adaptation Across Domain Shifts by Generating Intermediate Data Representations , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[16] Rama Chellappa,et al. Statistical Computations on Grassmann and Stiefel Manifolds for Image and Video-Based Recognition , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[17] Yihong Gong,et al. Linear spatial pyramid matching using sparse coding for image classification , 2009, CVPR.
[18] Peter Meer,et al. Nonlinear Mean Shift over Riemannian Manifolds , 2009, International Journal of Computer Vision.
[19] Michael Werman,et al. Affine Invariance Revisited , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[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] David J. Field,et al. Emergence of simple-cell receptive field properties by learning a sparse code for natural images , 1996, Nature.
[22] Yuan Shi,et al. Geodesic flow kernel for unsupervised domain adaptation , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[23] Rama Chellappa,et al. Kernel Learning for Extrinsic Classification of Manifold Features , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[24] R. Tibshirani. Regression Shrinkage and Selection via the Lasso , 1996 .
[25] René Vidal,et al. Sparse Subspace Clustering: Algorithm, Theory, and Applications , 2012, IEEE transactions on pattern analysis and machine intelligence.
[26] Michael Elad,et al. Sparse Representation for Color Image Restoration , 2008, IEEE Transactions on Image Processing.
[27] Nello Cristianini,et al. Kernel Methods for Pattern Analysis , 2003, ICTAI.
[28] Michael Elad,et al. Sparse and Redundant Representations - From Theory to Applications in Signal and Image Processing , 2010 .
[29] Guillermo Sapiro,et al. Sparse Representation for Computer Vision and Pattern Recognition , 2010, Proceedings of the IEEE.
[30] D. L. Donoho,et al. Compressed sensing , 2006, IEEE Trans. Inf. Theory.
[31] Ronen Basri,et al. Lambertian Reflectance and Linear Subspaces , 2003, IEEE Trans. Pattern Anal. Mach. Intell..
[32] John M. Lee. Introduction to Smooth Manifolds , 2002 .
[33] Brian C. Lovell,et al. Extrinsic Methods for Coding and Dictionary Learning on Grassmann Manifolds , 2014, International Journal of Computer Vision.
[34] Baba C. Vemuri,et al. On A Nonlinear Generalization of Sparse Coding and Dictionary Learning , 2013, ICML.
[35] Brian C. Lovell,et al. Sparse Coding on Symmetric Positive Definite Manifolds Using Bregman Divergences , 2014, IEEE Transactions on Neural Networks and Learning Systems.
[36] Emmanuel J. Candès,et al. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information , 2004, IEEE Transactions on Information Theory.
[37] Bernhard Schölkopf,et al. A Generalized Representer Theorem , 2001, COLT/EuroCOLT.
[38] Lior Wolf,et al. Learning over Sets using Kernel Principal Angles , 2003, J. Mach. Learn. Res..
[39] C. Berg,et al. Harmonic Analysis on Semigroups , 1984 .
[40] Brian C. Lovell,et al. Object tracking via non-Euclidean geometry: A Grassmann approach , 2014, IEEE Winter Conference on Applications of Computer Vision.
[41] Yang Wang,et al. Human Action Recognition by Semilatent Topic Models , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[42] John B. Moore,et al. Essential Matrix Estimation Using Gauss-Newton Iterations on a Manifold , 2007, International Journal of Computer Vision.
[43] Hongdong Li,et al. Expanding the Family of Grassmannian Kernels: An Embedding Perspective , 2014, ECCV.
[44] Yihong Gong,et al. Locality-constrained Linear Coding for image classification , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.