mixture model

Factorized Asymptotic Bayesian Inference for Mixture Modeling AISTATS 2012 FastEx: Hash Clustering with Exponential Families NeurIPS 2012 Learning Mixtures of Tree Graphical Models NeurIPS 2012 Markov Logic Mixtures of Gaussian Processes: Towards Machines Reading Regression Data AISTATS 2012 Multiresolution Mixture Modeling using Merging of Mixture Components ACML 2012 Priors for Diversity in Generative Latent Variable Models NeurIPS 2012 Repulsive Mixtures NeurIPS 2012 Slice sampling normalized kernel-weighted completely random measure mixture models NeurIPS 2012 A concave regularization technique for sparse mixture models NeurIPS 2011 A Global Structural EM Algorithm for a Model of Cancer Progression NeurIPS 2011 Dirichlet Process Mixtures of Generalized Linear Models JMLR 2011 Distance Dependent Chinese Restaurant Processes JMLR 2011 Rapid Deformable Object Detection using Dual-Tree Branch-and-Bound NeurIPS 2011 Scalable Training of Mixture Models via Coresets NeurIPS 2011 Spectral Chinese Restaurant Processes: Nonparametric Clustering Based on Similarities AISTATS 2011 Classification with Incomplete Data Using Dirichlet Process Priors JMLR 2010 Construction of Dependent Dirichlet Processes based on Poisson Processes NeurIPS 2010 Dirichlet Process Mixtures of Generalized Linear Models AISTATS 2010 Fast Large-scale Mixture Modeling with Component-specific Data Partitions NeurIPS 2010 Matrix-Variate Dirichlet Process Mixture Models AISTATS 2010 Mixture of time-warped trajectory models for movement decoding NeurIPS 2010 A Bayesian Model for Simultaneous Image Clustering, Annotation and Object Segmentation NeurIPS 2009 Hierarchical Learning of Dimensional Biases in Human Categorization NeurIPS 2009 Learning a Small Mixture of Trees NeurIPS 2009 Nonlinear Models Using Dirichlet Process Mixtures JMLR 2009