generative model

Maximal Causes for Non-linear Component Extraction JMLR 2008 Sparse probabilistic projections NeurIPS 2008 The Gaussian Process Density Sampler NeurIPS 2008 The Recurrent Temporal Restricted Boltzmann Machine NeurIPS 2008 Variational Mixture of Gaussian Process Experts NeurIPS 2008 Bayesian binning beats approximate alternatives: estimating peri-stimulus time histograms NeurIPS 2007 Combined discriminative and generative articulated pose and non-rigid shape estimation NeurIPS 2007 Experience-Guided Search: A Theory of Attentional Control NeurIPS 2007 Learning Visual Attributes NeurIPS 2007 Modeling image patches with a directed hierarchy of Markov random fields NeurIPS 2007 Unsupervised Feature Selection for Accurate Recommendation of High-Dimensional Image Data NeurIPS 2007 Bayesian Image Super-resolution, Continued NeurIPS 2006 Learning annotated hierarchies from relational data NeurIPS 2006 Learning Image Components for Object Recognition JMLR 2006 Learning Parts-Based Representations of Data JMLR 2006 Linear State-Space Models for Blind Source Separation JMLR 2006 Mixture Regression for Covariate Shift NeurIPS 2006 Modeling Human Motion Using Binary Latent Variables NeurIPS 2006 Mutagenetic tree Fisher kernel improves prediction of HIV drug resistance from viral genotype NeurIPS 2006 Unsupervised Learning of a Probabilistic Grammar for Object Detection and Parsing NeurIPS 2006 Probability Product Kernels JMLR 2004 A Generative Model for Separating Illumination and Reflectance from Images JMLR 2003 Learning Probabilistic Models of Link Structure JMLR 2002