gaussian mixture model

Encoding High Dimensional Local Features by Sparse Coding Based Fisher Vectors NeurIPS 2014 Factoring Variations in Natural Images with Deep Gaussian Mixture Models NeurIPS 2014 Leveraging Hierarchical Parametric Networks for Skeletal Joints Based Action Segmentation and Recognition CVPR 2014 Lower Bounds for the Gibbs Sampler over Mixtures of Gaussians ICML 2014 Near-Optimal-Sample Estimators for Spherical Gaussian Mixtures NeurIPS 2014 Real-time Simultaneous Pose and Shape Estimation for Articulated Objects Using a Single Depth Camera CVPR 2014 Robust Bayesian Max-Margin Clustering NeurIPS 2014 Tensor Decompositions for Learning Latent Variable Models JMLR 2014 The Infinite Mixture of Infinite Gaussian Mixtures NeurIPS 2014 The Student-t Mixture as a Natural Image Patch Prior with Application to Image Compression JMLR 2014 A Novel Earth Mover's Distance Methodology for Image Matching with Gaussian Mixture Models ICCV 2013 Learning the Local Statistics of Optical Flow NeurIPS 2013 Minimax Theory for High-dimensional Gaussian Mixtures with Sparse Mean Separation NeurIPS 2013 Moment-based Uniform Deviation Bounds for k-means and Friends NeurIPS 2013 Probabilistic Elastic Matching for Pose Variant Face Verification CVPR 2013 Probabilistic Graphlet Cut: Exploiting Spatial Structure Cue for Weakly Supervised Image Segmentation CVPR 2013 Natural Images, Gaussian Mixtures and Dead Leaves NeurIPS 2012 Recovery of Sparse Probability Measures via Convex Programming NeurIPS 2012 Locally Defined Principal Curves and Surfaces JMLR 2011 Nonlinear Online Classification Algorithm with Probability Margin ACML 2011 Speaker Comparison with Inner Product Discriminant Functions NeurIPS 2009 Dependent Dirichlet Process Spike Sorting NeurIPS 2008 Variational Mixture of Gaussian Process Experts NeurIPS 2008 Dynamics and Generalization Ability of LVQ Algorithms JMLR 2007 Large Margin Hidden Markov Models for Automatic Speech Recognition NeurIPS 2006