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Getting Feasible Variable Estimates From Infeasible Ones: MRF Local
  Polytope Study

Getting Feasible Variable Estimates From Infeasible Ones: MRF Local Polytope Study

15 October 2012
Bogdan Savchynskyy
S. Schmidt
ArXiv (abs)PDFHTML

Papers citing "Getting Feasible Variable Estimates From Infeasible Ones: MRF Local Polytope Study"

9 / 9 papers shown
Title
Bethe-ADMM for Tree Decomposition based Parallel MAP Inference
Bethe-ADMM for Tree Decomposition based Parallel MAP Inference
Qiang Fu
Huahua Wang
A. Banerjee
86
32
0
26 Sep 2013
A New Class of Upper Bounds on the Log Partition Function
A New Class of Upper Bounds on the Log Partition Function
Martin J. Wainwright
Tommi Jaakkola
A. Willsky
93
459
0
12 Dec 2012
Efficient MRF Energy Minimization via Adaptive Diminishing Smoothing
Efficient MRF Energy Minimization via Adaptive Diminishing Smoothing
Bogdan Savchynskyy
S. Schmidt
Jörg H. Kappes
Christoph Schnörr
83
60
0
16 Oct 2012
Tightening Fractional Covering Upper Bounds on the Partition Function
  for High-Order Region Graphs
Tightening Fractional Covering Upper Bounds on the Partition Function for High-Order Region Graphs
Tamir Hazan
Jian-wei Peng
Amnon Shashua
79
16
0
16 Oct 2012
MAP Estimation, Linear Programming and Belief Propagation with Convex
  Free Energies
MAP Estimation, Linear Programming and Belief Propagation with Convex Free Energies
Yair Weiss
C. Yanover
Talya Meltzer
97
172
0
20 Jun 2012
Tightening LP Relaxations for MAP using Message Passing
Tightening LP Relaxations for MAP using Message Passing
David Sontag
Talya Meltzer
Amir Globerson
Tommi Jaakkola
Yair Weiss
110
321
0
13 Jun 2012
OpenGM: A C++ Library for Discrete Graphical Models
OpenGM: A C++ Library for Discrete Graphical Models
Björn Andres
T. Beier
Jörg H. Kappes
73
105
0
01 Jun 2012
Norm-Product Belief Propagation: Primal-Dual Message-Passing for
  Approximate Inference
Norm-Product Belief Propagation: Primal-Dual Message-Passing for Approximate Inference
Tamir Hazan
Amnon Shashua
TPM
151
123
0
18 Mar 2009
Lagrangian Relaxation for MAP Estimation in Graphical Models
Lagrangian Relaxation for MAP Estimation in Graphical Models
Jason K. Johnson
Dmitry Malioutov
A. Willsky
118
87
0
28 Sep 2007
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