Graphical Models

A reversible infinite HMM using normalised random measures ICML 2014 Articulated Pose Estimation by a Graphical Model with Image Dependent Pairwise Relations NeurIPS 2014 Attributed Graph Mining and Matching: An Attempt to Define and Extract Soft Attributed Patterns CVPR 2014 Augmentative Message Passing for Traveling Salesman Problem and Graph Partitioning NeurIPS 2014 Blossom Tree Graphical Models NeurIPS 2014 Clamping Variables and Approximate Inference NeurIPS 2014 Community Detection via Random and Adaptive Sampling COLT 2014 Complex Activity Recognition using Granger Constrained DBN (GCDBN) in Sports and Surveillance Video CVPR 2014 Concavity of reweighted Kikuchi approximation NeurIPS 2014 Deformable Object Matching via Deformation Decomposition based 2D Label MRF CVPR 2014 Discrete-Continuous Depth Estimation from a Single Image CVPR 2014 Distance-Based Network Recovery under Feature Correlation NeurIPS 2014 Distributed Parameter Estimation in Probabilistic Graphical Models NeurIPS 2014 Edge Label Inference in Generalized Stochastic Block Models: from Spectral Theory to Impossibility Results COLT 2014 Efficient Inference of Continuous Markov Random Fields with Polynomial Potentials NeurIPS 2014 Elementary Estimators for Graphical Models NeurIPS 2014 Estimating Latent-Variable Graphical Models using Moments and Likelihoods ICML 2014 Exploiting the Limits of Structure Learning via Inherent Symmetry AISTATS 2014 Fast MRF Optimization with Application to Depth Reconstruction CVPR 2014 Finding Matches in a Haystack: A Max-Pooling Strategy for Graph Matching in the Presence of Outliers CVPR 2014 Global Sensitivity Analysis for MAP Inference in Graphical Models NeurIPS 2014 GPS-Tag Refinement using Random Walks with an Adaptive Damping Factor CVPR 2014 Graphical Models for Recovering Probabilistic and Causal Queries from Missing Data NeurIPS 2014 Hamming Ball Auxiliary Sampling for Factorial Hidden Markov Models NeurIPS 2014 Hardness of parameter estimation in graphical models NeurIPS 2014