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Fast planar correlation clustering for image segmentation
We describe a new optimization scheme for finding high-quality clusterings in planar graphs
that uses weighted perfect matching as a subroutine. Our method provides lower-bounds on …
that uses weighted perfect matching as a subroutine. Our method provides lower-bounds on …
A bundle approach to efficient MAP-inference by Lagrangian relaxation
Approximate inference by decomposition of discrete graphical models and Lagrangian
relaxation has become a key technique in computer vision. The resulting dual objective …
relaxation has become a key technique in computer vision. The resulting dual objective …
Tightening MRF relaxations with planar subproblems
We describe a new technique for computing lower-bounds on the minimum energy
configuration of a planar Markov Random Field (MRF). Our method successively adds large …
configuration of a planar Markov Random Field (MRF). Our method successively adds large …
Submodular relaxation for inference in Markov random fields
In this paper we address the problem of finding the most probable state of a discrete Markov
random field (MRF), also known as the MRF energy minimization problem. The task is …
random field (MRF), also known as the MRF energy minimization problem. The task is …
Theory of deductive systems for protocol verification
X Li, R Lai, TS Dillon - 1992 Fourth International Conference on …, 1992 - computer.org
Approximate inference by decomposition of discrete graphical models and Lagrangian
relaxation has become a key technique in computer vision. The resulting dual objective …
relaxation has become a key technique in computer vision. The resulting dual objective …
[BOK][B] Planarity matters: map inference in planar markov random fields with applications to computer vision
J Yarkony - 2012 - search.proquest.com
UNIVERSITY OF CALIFORNIA, IRVINE Planarity Matters: MAP Inference in Planar Markov
Random Fields with Applications to Computer V Page 1 UNIVERSITY OF CALIFORNIA, IRVINE …
Random Fields with Applications to Computer V Page 1 UNIVERSITY OF CALIFORNIA, IRVINE …
[PDF][PDF] Субмодулярная релаксация в задаче минимизации энергии марковского случайного поля
АА Осокин - Москва, 2014 - aosokin.github.io
В рамках данной диссертационной работы разработан новый подход к решению
задачи поиска наиболее вероятных конфигураций марковских случайных полей …
задачи поиска наиболее вероятных конфигураций марковских случайных полей …
[PDF][PDF] A Bundle Approach To Efficient MAP-Inference by Lagrangian Relaxation (corrected version)
JH Kappes, B Savchynskyy, C Schnörr - researchgate.net
Approximate inference by decomposition of discrete graphical models and Lagrangian
relaxation has become a key technique in computer vision. The resulting dual objective …
relaxation has become a key technique in computer vision. The resulting dual objective …
[PDF][PDF] Planar Decompositions and Cycle Constraints
Dual-decomposition methods for optimization have emerged as an extremely powerful tool
for solving combinatorial problems in graphical models. These techniques can be thought of …
for solving combinatorial problems in graphical models. These techniques can be thought of …