map inference

Unifying Local Consistency and MAX SAT Relaxations for Scalable Inference with Rounding Guarantees AISTATS 2015 Active Boundary Annotation using Random MAP Perturbations AISTATS 2014 An Exemplar-based CRF for Multi-instance Object Segmentation CVPR 2014 An Integer Polynomial Programming Based Framework for Lifted MAP Inference NeurIPS 2014 A Principled Approach for Coarse-to-Fine MAP Inference CVPR 2014 Globally Convergent Parallel MAP LP Relaxation Solver using the Frank-Wolfe Algorithm ICML 2014 Global Sensitivity Analysis for MAP Inference in Graphical Models NeurIPS 2014 Incremental Tree-Based Inference with Dependent Normalized Random Measures AISTATS 2014 Lifted MAP Inference for Markov Logic Networks AISTATS 2014 Maximum Persistency in Energy Minimization CVPR 2014 New Rules for Domain Independent Lifted MAP Inference NeurIPS 2014 Partial Optimality by Pruning for MAP-inference with General Graphical Models CVPR 2014 Putting MRFs on a Tensor Train ICML 2014 Scalable Semidefinite Relaxation for Maximum A Posterior Estimation ICML 2014 Simple MAP Inference via Low-Rank Relaxations NeurIPS 2014 Active MAP Inference in CRFs for Efficient Semantic Segmentation ICCV 2013 A Fast and Exact Energy Minimization Algorithm for Cycle MRFs ICML 2013 A Generic Deformation Model for Dense Non-rigid Surface Registration: A Higher-Order MRF-Based Approach ICCV 2013 A Graphical Transformation for Belief Propagation: Maximum Weight Matchings and Odd-Sized Cycles NeurIPS 2013 Approximate Inference in Collective Graphical Models ICML 2013 A Principled Deep Random Field Model for Image Segmentation CVPR 2013 Bethe Bounds and Approximating the Global Optimum AISTATS 2013 Bilinear Programming for Human Activity Recognition with Unknown MRF Graphs CVPR 2013 Dual Decomposition for Joint Discrete-Continuous Optimization AISTATS 2013 Global MAP-Optimality by Shrinking the Combinatorial Search Area with Convex Relaxation NeurIPS 2013