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ICCV
2007
IEEE
14 years 9 months ago
LogCut - Efficient Graph Cut Optimization for Markov Random Fields
Markov Random Fields (MRFs) are ubiquitous in lowlevel computer vision. In this paper, we propose a new approach to the optimization of multi-labeled MRFs. Similarly to -expansion...
Victor S. Lempitsky, Carsten Rother, Andrew Blake
RAS
2000
130views more  RAS 2000»
13 years 7 months ago
Allocating optimal index positions on tool magazines using genetic algorithms
This paper presents an optimisation system software developed for the determination of optimal index positions of cutting tools on the automatic tool changer (ATC) or turret magaz...
Türkay Dereli, I. Hüseyin Filiz
MP
2010
163views more  MP 2010»
13 years 2 months ago
Speeding up IP-based algorithms for constrained quadratic 0-1 optimization
In many practical applications, the task is to optimize a non-linear objective function over the vertices of a well-studied polytope as, e.g., the matching polytope or the travelli...
Christoph Buchheim, Frauke Liers, Marcus Oswald
JSAT
2006
88views more  JSAT 2006»
13 years 7 months ago
On Using Cutting Planes in Pseudo-Boolean Optimization
Cutting planes are a well-known, widely used, and very effective technique for Integer Linear Programming (ILP). However, cutting plane techniques are seldom used in PseudoBoolean...
Vasco M. Manquinho, João P. Marques Silva
CVPR
2006
IEEE
14 years 1 months ago
Active Graph Cuts
This paper adds a number of novel concepts into global s/t cut methods improving their efficiency and making them relevant for a wider class of applications in vision where algor...
Olivier Juan, Yuri Boykov