latent variable model

Kernel Latent SVM for Visual Recognition NeurIPS 2012 Latent Coincidence Analysis: A Hidden Variable Model for Distance Metric Learning NeurIPS 2012 Latent Graphical Model Selection: Efficient Methods for Locally Tree-like Graphs NeurIPS 2012 Learning Latent Variable Models by Pairwise Cluster Comparison ACML 2012 Max-Margin Min-Entropy Models AISTATS 2012 Priors for Diversity in Generative Latent Variable Models NeurIPS 2012 Probabilistic Event Cascades for Alzheimer's disease NeurIPS 2012 Probabilistic Modeling of Human Movements for Intention Inference RSS 2012 Statistical Models for Exploring Individual Email Communication Behavior ACML 2012 A concave regularization technique for sparse mixture models NeurIPS 2011 An Unsupervised Decontamination Procedure For Improving The Reliability Of Human Judgments NeurIPS 2011 Confidence Sets for Network Structure NeurIPS 2011 Facial Expression Transfer with Input-Output Temporal Restricted Boltzmann Machines NeurIPS 2011 Hidden-Unit Conditional Random Fields AISTATS 2011 Learning Probabilistic Non-Linear Latent Variable Models for Tracking Complex Activities NeurIPS 2011 Mixed-Variate Restricted Boltzmann Machines ACML 2011 Sparse Linear Identifiable Multivariate Modeling JMLR 2011 Thinning Measurement Models and Questionnaire Design NeurIPS 2011 Variational Gaussian Process Dynamical Systems NeurIPS 2011 A Discriminative Latent Model of Image Region and Object Tag Correspondence NeurIPS 2010 Bayesian Gaussian Process Latent Variable Model AISTATS 2010 Beyond Actions: Discriminative Models for Contextual Group Activities NeurIPS 2010 Cross Species Expression Analysis using a Dirichlet Process Mixture Model with Latent Matchings NeurIPS 2010 Generating more realistic images using gated MRF's NeurIPS 2010 Inference of Sparse Networks with Unobserved Variables. Application to Gene Regulatory Networks AISTATS 2010