mixture model

Distributed Inference for Dirichlet Process Mixture Models ICML 2015 Estimating Mixture Models via Mixtures of Polynomials NeurIPS 2015 Fixed-Length Poisson MRF: Adding Dependencies to the Multinomial NeurIPS 2015 Information Geometry and Minimum Description Length Networks ICML 2015 Regularized EM Algorithms: A Unified Framework and Statistical Guarantees NeurIPS 2015 Sparse Solutions to Nonnegative Linear Systems and Applications AISTATS 2015 Streaming Variational Inference for Bayesian Nonparametric Mixture Models AISTATS 2015 Tree-Guided MCMC Inference for Normalized Random Measure Mixture Models NeurIPS 2015 A Hierarchical Probabilistic Model for Facial Feature Detection CVPR 2014 A Mixture of Manhattan Frames: Beyond the Manhattan World CVPR 2014 Capturing Long-tail Distributions of Object Subcategories CVPR 2014 Clustered factor analysis of multineuronal spike data NeurIPS 2014 Deconvolution of High Dimensional Mixtures via Boosting, with Application to Diffusion-Weighted MRI of Human Brain NeurIPS 2014 Effective Sampling and Learning for Mallows Models with Pairwise-Preference Data JMLR 2014 Feedforward Learning of Mixture Models NeurIPS 2014 Inconsistency of Pitman-Yor Process Mixtures for the Number of Components JMLR 2014 Incremental Tree-Based Inference with Dependent Normalized Random Measures AISTATS 2014 Joint Motion Segmentation and Background Estimation in Dynamic Scenes CVPR 2014 Learning Mixed Multinomial Logit Model from Ordinal Data NeurIPS 2014 Learning Mixtures of Discrete Product Distributions using Spectral Decompositions COLT 2014 Learning Mixtures of Linear Classifiers ICML 2014 Learning Mixtures of Ranking Models NeurIPS 2014 Lower Bounds for the Gibbs Sampler over Mixtures of Gaussians ICML 2014 Spectral Learning of Mixture of Hidden Markov Models NeurIPS 2014 Switchable Deep Network for Pedestrian Detection CVPR 2014