Generalized Dictionary Learning for Symmetric Positive Definite Matrices with Application to Nearest Neighbor Retrieval
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[1] Simone G. O. Fiori,et al. Lie-group-type neural system learning by manifold retractions , 2008, Neural Networks.
[2] Rafail Ostrovsky,et al. Efficient search for approximate nearest neighbor in high dimensional spaces , 1998, STOC '98.
[3] K. Brown,et al. Graduate Texts in Mathematics , 1982 .
[4] Prof. Dr. Kurt Mehlhorn,et al. Data Structures and Algorithms 3 , 1984, EATCS Monographs on Theoretical Computer Science.
[5] Inderjit S. Dhillon,et al. A non-monotonic method for large-scale non-negative least squares , 2013, Optim. Methods Softw..
[6] Jorge Nocedal,et al. On the limited memory BFGS method for large scale optimization , 1989, Math. Program..
[7] Kurt Mehlhorn,et al. Data Structures and Algorithms 3: Multi-dimensional Searching and Computational Geometry , 2012, EATCS Monographs on Theoretical Computer Science.
[8] K. Kreutz-Delgado,et al. Sparse image coding using learned overcomplete dictionaries , 2004, Proceedings of the 2004 14th IEEE Signal Processing Society Workshop Machine Learning for Signal Processing, 2004..
[9] Jon M. Kleinberg,et al. Two algorithms for nearest-neighbor search in high dimensions , 1997, STOC '97.
[10] Emmanuel J. Candès,et al. Matrix Completion With Noise , 2009, Proceedings of the IEEE.
[11] N. Ayache,et al. Log‐Euclidean metrics for fast and simple calculus on diffusion tensors , 2006, Magnetic resonance in medicine.
[12] Chengjun Liu,et al. Gabor-Based Kernel PCA with Fractional Power Polynomial Models for Face Recognition , 2004, IEEE Trans. Pattern Anal. Mach. Intell..
[13] Piotr Indyk,et al. Similarity Search in High Dimensions via Hashing , 1999, VLDB.
[14] Lei Wang,et al. PSDBoost: Matrix-Generation Linear Programming for Positive Semidefinite Matrices Learning , 2008, NIPS.
[15] Emmanuel J. Candès,et al. A Singular Value Thresholding Algorithm for Matrix Completion , 2008, SIAM J. Optim..
[16] Pavel Zezula,et al. M-tree: An Efficient Access Method for Similarity Search in Metric Spaces , 1997, VLDB.
[17] Alexei A. Gaivoronski,et al. Convergence properties of backpropagation for neural nets via theory of stochastic gradient methods. Part 1 , 1994 .
[18] Piotr Indyk,et al. Approximate nearest neighbors: towards removing the curse of dimensionality , 1998, STOC '98.
[19] J. Ibrahim,et al. Statistical Analysis of Diffusion Tensors in Diffusion-Weighted Magnetic Resonance Imaging Data , 2007 .
[20] Lei Wang,et al. Scalable Large-Margin Mahalanobis Distance Metric Learning , 2010, IEEE Transactions on Neural Networks.
[21] Yuri Ivanov,et al. Fast Approximate Nearest Neighbor Methods for Non-Euclidean Manifolds with Applications to Human Activity Analysis in Videos , 2010, ECCV.
[22] Shree K. Nayar,et al. Reflectance and texture of real-world surfaces , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[23] Donald E. Knuth,et al. The art of computer programming: sorting and searching (volume 3) , 1973 .
[24] Lieven Vandenberghe,et al. Interior-Point Method for Nuclear Norm Approximation with Application to System Identification , 2009, SIAM J. Matrix Anal. Appl..
[25] Chong Wang,et al. Simultaneous image classification and annotation , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[26] Xuelong Li,et al. Gabor-Based Region Covariance Matrices for Face Recognition , 2008, IEEE Transactions on Circuits and Systems for Video Technology.
[27] Sunil Arya,et al. An optimal algorithm for approximate nearest neighbor searching fixed dimensions , 1998, JACM.
[28] Paul M. Thompson,et al. Generalized Tensor-Based Morphometry of HIV/AIDS Using Multivariate Statistics on Deformation Tensors , 2008, IEEE Transactions on Medical Imaging.
[29] Michael Elad,et al. Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries , 2006, IEEE Transactions on Image Processing.
[30] Piotr Indyk. On approximate nearest neighbors in non-Euclidean spaces , 1998, Proceedings 39th Annual Symposium on Foundations of Computer Science (Cat. No.98CB36280).
[31] Guillermo Sapiro,et al. Online dictionary learning for sparse coding , 2009, ICML '09.
[32] Jitendra Malik,et al. SVM-KNN: Discriminative Nearest Neighbor Classification for Visual Category Recognition , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[33] David Thomas,et al. The Art in Computer Programming , 2001 .
[34] Piotr Indyk,et al. Approximate Nearest Neighbor: Towards Removing the Curse of Dimensionality , 2012, Theory Comput..
[35] James C. Gee,et al. Spatial transformations of diffusion tensor magnetic resonance images , 2001, IEEE Transactions on Medical Imaging.
[36] Hyeonjoon Moon,et al. The FERET Evaluation Methodology for Face-Recognition Algorithms , 2000, IEEE Trans. Pattern Anal. Mach. Intell..
[37] Thomas L. Griffiths,et al. Advances in Neural Information Processing Systems 21 , 1993, NIPS 2009.
[38] Stephen J. Maybank,et al. Human Action Recognition under Log-Euclidean Riemannian Metric , 2009, ACCV.
[39] Fatih Murat Porikli,et al. Covariance Tracking using Model Update Based on Lie Algebra , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[40] Guillermo Sapiro,et al. Sparse Representation for Computer Vision and Pattern Recognition , 2010, Proceedings of the IEEE.
[41] Vassilios Morellas,et al. Tensor Sparse Coding for Region Covariances , 2010, ECCV.
[42] Kristen Grauman,et al. Kernelized locality-sensitive hashing for scalable image search , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[43] Harry Wechsler,et al. The FERET database and evaluation procedure for face-recognition algorithms , 1998, Image Vis. Comput..
[44] Antonio Torralba,et al. Spectral Hashing , 2008, NIPS.
[45] Rama Chellappa,et al. Nearest-neighbor search algorithms on non-Euclidean manifolds for computer vision applications , 2010, ICVGIP '10.
[46] S. Lang. Fundamentals of differential geometry , 1998 .
[47] Thomas Deselaers,et al. ClassCut for Unsupervised Class Segmentation , 2010, ECCV.
[48] José Mario Martínez,et al. Nonmonotone Spectral Projected Gradient Methods on Convex Sets , 1999, SIAM J. Optim..
[49] W. Förstner,et al. A Metric for Covariance Matrices , 2003 .