Manifold-valued Dirichlet Processes
暂无分享,去创建一个
[1] Anoop Cherian,et al. Riemannian Sparse Coding for Positive Definite Matrices , 2014, ECCV.
[2] S. Sra,et al. Geometric optimisation on positive definite matrices with application to elliptically contoured distributions , 2013, NIPS 2013.
[3] M. Girolami,et al. Riemann manifold Langevin and Hamiltonian Monte Carlo methods , 2011, Journal of the Royal Statistical Society: Series B (Statistical Methodology).
[4] P. Thomas Fletcher,et al. Geodesic Regression and the Theory of Least Squares on Riemannian Manifolds , 2012, International Journal of Computer Vision.
[5] Baba C. Vemuri,et al. Statistical Analysis of Tensor Fields , 2010, MICCAI.
[6] Vikas Singh,et al. Canonical Correlation Analysis on Riemannian Manifolds and Its Applications , 2014, ECCV.
[7] A. Gelfand,et al. Dirichlet Process Mixed Generalized Linear Models , 1997 .
[8] Warren B. Powell,et al. Dirichlet Process Mixtures of Generalized Linear Models , 2009, J. Mach. Learn. Res..
[9] John W. Fisher,et al. A Dirichlet Process Mixture Model for Spherical Data , 2015, AISTATS.
[10] Moo K. Chung,et al. Multivariate General Linear Models (MGLM) on Riemannian Manifolds with Applications to Statistical Analysis of Diffusion Weighted Images , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[11] Maher Moakher,et al. A Differential Geometric Approach to the Geometric Mean of Symmetric Positive-Definite Matrices , 2005, SIAM J. Matrix Anal. Appl..
[12] P. Thomas Fletcher,et al. Principal geodesic analysis for the study of nonlinear statistics of shape , 2004, IEEE Transactions on Medical Imaging.
[13] A. Munk,et al. INTRINSIC SHAPE ANALYSIS: GEODESIC PCA FOR RIEMANNIAN MANIFOLDS MODULO ISOMETRIC LIE GROUP ACTIONS , 2007 .
[14] Anuj Srivastava,et al. Riemannian Analysis of Probability Density Functions with Applications in Vision , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[15] René Vidal,et al. Sparse Riemannian manifold clustering for HARDI segmentation , 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.
[16] Ning Chen,et al. Infinite SVM: a Dirichlet Process Mixture of Large-margin Kernel Machines , 2011, ICML.
[17] Mario Medvedovic,et al. Bayesian infinite mixture model based clustering of gene expression profiles , 2002, Bioinform..
[18] A. Munk,et al. Intrinsic shape analysis: Geodesic principal component analysis for Riemannian manifolds modulo Lie group actions. Discussion paper with rejoinder. , 2010 .
[19] Anoop Cherian,et al. Generalized Dictionary Learning for Symmetric Positive Definite Matrices with Application to Nearest Neighbor Retrieval , 2011, ECML/PKDD.
[20] Rachid Deriche,et al. Statistics on the Manifold of Multivariate Normal Distributions: Theory and Application to Diffusion Tensor MRI Processing , 2006, Journal of Mathematical Imaging and Vision.
[21] Denise C. Park,et al. A lifespan database of adult facial stimuli , 2004, Behavior research methods, instruments, & computers : a journal of the Psychonomic Society, Inc.
[22] Michael I. Jordan,et al. Matrix-Variate Dirichlet Process Priors with Applications , 2014 .
[23] M. Escobar,et al. Markov Chain Sampling Methods for Dirichlet Process Mixture Models , 2000 .
[24] J. Lafferty,et al. Riemannian Geometry and Statistical Machine Learning , 2015 .
[25] I. Holopainen. Riemannian Geometry , 1927, Nature.
[26] Stefan Sommer,et al. Horizontal Dimensionality Reduction and Iterated Frame Bundle Development , 2013, GSI.
[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] Xin Li,et al. Facial Expression Recognition Influenced by Human Aging , 2013, IEEE Transactions on Affective Computing.
[29] Stephen P. Boyd,et al. Convex Optimization , 2004, Algorithms and Theory of Computation Handbook.
[30] Baba C. Vemuri,et al. On A Nonlinear Generalization of Sparse Coding and Dictionary Learning , 2013, ICML.
[31] A. Kennedy,et al. Hybrid Monte Carlo , 1987 .
[32] 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).
[33] Haibin Ling,et al. Age regression from faces using random forests , 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).
[34] R. Bhatia. Positive Definite Matrices , 2007 .
[35] Xavier Pennec,et al. Intrinsic Statistics on Riemannian Manifolds: Basic Tools for Geometric Measurements , 2006, Journal of Mathematical Imaging and Vision.
[36] Hongtu Zhu,et al. Intrinsic Regression Models for Positive-Definite Matrices With Applications to Diffusion Tensor Imaging , 2009, Journal of the American Statistical Association.
[37] L. Carin,et al. The Matrix Stick-Breaking Process , 2008 .
[38] Kaare Brandt Petersen,et al. The Matrix Cookbook , 2006 .
[39] Stefan Sommer,et al. Optimization over geodesics for exact principal geodesic analysis , 2010, Adv. Comput. Math..
[40] H. Ishwaran. Applications of Hybrid Monte Carlo to Bayesian Generalized Linear Models: Quasicomplete Separation and Neural Networks , 1999 .
[41] Christophe Lenglet,et al. A nonparametric Riemannian framework for processing high angular resolution diffusion images (HARDI) , 2009, CVPR.
[42] Geoffrey E. Hinton,et al. Bayesian Learning for Neural Networks , 1995 .
[43] Radford M. Neal. MCMC Using Hamiltonian Dynamics , 2011, 1206.1901.
[44] B. Afsari. Riemannian Lp center of mass: existence, uniqueness, and convexity , 2011 .
[45] R. Vidal,et al. A nonparametric Riemannian framework for processing high angular resolution diffusion images (HARDI) , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[46] Baba C. Vemuri,et al. A Novel Dynamic System in the Space of SPD Matrices with Applications to Appearance Tracking , 2013, SIAM J. Imaging Sci..
[47] Baba C. Vemuri,et al. Recursive Karcher Expectation Estimators And Geometric Law of Large Numbers , 2013, AISTATS.
[48] Babak Shahbaba,et al. Nonlinear Models Using Dirichlet Process Mixtures , 2007, J. Mach. Learn. Res..