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CVPR
2012
IEEE
13 years 6 months ago
What is optimized in tight convex relaxations for multi-label problems?
In this work we present a unified view on Markov random fields and recently proposed continuous tight convex relaxations for multi-label assignment in the image plane. These rel...
Christopher Zach, Christian Hane, Marc Pollefeys
JGO
2011
83views more  JGO 2011»
14 years 11 months ago
Application of convex lexicographical optimization to the balance of GRTgaz gas grid
Shippers are daily users of the French gas grid. Differences between planned and effective gas demand unbalance the grid. To restore the balance, GRTgaz computes every day amoun...
Soizic Adam, J. Frédéric Bonnans, Ru...
MP
2008
100views more  MP 2008»
15 years 4 months ago
Selected topics in robust convex optimization
Robust Optimization is a rapidly developing methodology for handling optimization problems affected by non-stochastic "uncertain-butbounded" data perturbations. In this p...
Aharon Ben-Tal, Arkadi Nemirovski
MOR
2006
95views more  MOR 2006»
15 years 4 months ago
An Efficient Interior-Point Method for Convex Multicriteria Optimization Problems
In multicriteria optimization, several objective functions, conflicting with each other, have to be minimized simultaneously. We propose a new efficient method for approximating t...
Jörg Fliege
SIAMJO
2008
212views more  SIAMJO 2008»
15 years 4 months ago
Convergence Rate of an Optimization Algorithm for Minimizing Quadratic Functions with Separable Convex Constraints
A new active set algorithm for minimizing quadratic functions with separable convex constraints is proposed by combining the conjugate gradient method with the projected gradient. ...
Radek Kucera