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Graphical Models

933 directly classified papers

Papers per year

Papers

Spectral Graph Reduction for Efficient Image and Streaming Video Segmentation CVPR 2014
Community Detection via Random and Adaptive Sampling COLT 2014
Non-Asymptotic Analysis of Relational Learning with One Network AISTATS 2014
Exploiting the Limits of Structure Learning via Inherent Symmetry AISTATS 2014
Elementary Estimators for Graphical Models NIPS 2014
Clamping Variables and Approximate Inference NIPS 2014
Hardness of parameter estimation in graphical models NIPS 2014
Hamming Ball Auxiliary Sampling for Factorial Hidden Markov Models NIPS 2014
On Sparse Gaussian Chain Graph Models NIPS 2014
Inference by Learning: Speeding-up Graphical Model Optimization via a Coarse-to-Fine Cascade of Pruning Classifiers NIPS 2014
Distance-Based Network Recovery under Feature Correlation NIPS 2014
GPS-Tag Refinement using Random Walks with an Adaptive Damping Factor CVPR 2014
Object-based Multiple Foreground Video Co-segmentation CVPR 2014
Deformable Object Matching via Deformation Decomposition based 2D Label MRF CVPR 2014
Complex Activity Recognition using Granger Constrained DBN (GCDBN) in Sports and Surveillance Video CVPR 2014
Partial Optimality by Pruning for MAP-inference with General Graphical Models CVPR 2014
Scene Labeling Using Beam Search Under Mutex Constraints CVPR 2014
Fast MRF Optimization with Application to Depth Reconstruction CVPR 2014
New Rules for Domain Independent Lifted MAP Inference NIPS 2014
Message Passing Inference for Large Scale Graphical Models with High Order Potentials NIPS 2014
Global Sensitivity Analysis for MAP Inference in Graphical Models NIPS 2014
An Integer Polynomial Programming Based Framework for Lifted MAP Inference NIPS 2014
Augmentative Message Passing for Traveling Salesman Problem and Graph Partitioning NIPS 2014
Scaling-up Importance Sampling for Markov Logic Networks NIPS 2014
Graphical Models for Recovering Probabilistic and Causal Queries from Missing Data NIPS 2014