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» Solving Hierarchical Optimization Problems Using MOEAs
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DAGM
2010
Springer
15 years 4 months ago
Uncertainty Driven Multi-scale Optimization
This paper proposes a new multi-scale energy minimization algorithm which can be used to efficiently solve large scale labelling problems in computer vision. The basic modus operan...
Pushmeet Kohli, Victor S. Lempitsky, Carsten Rothe...
TRANSCI
2008
80views more  TRANSCI 2008»
15 years 3 months ago
An Efficient Method to Compute Traffic Assignment Problems with Elastic Demands
The traffic assignment problem with elastic demands can be formulated as an optimization problem, whose objective is sum of a congestion function and a disutility function. We pro...
Frédéric Babonneau, Jean-Philippe Vi...
IAT
2005
IEEE
15 years 8 months ago
Decomposition Techniques for a Loosely-Coupled Resource Allocation Problem
We are interested by contributing to stochastic problems of which the main distinction is that some tasks may create other tasks. In particular, we present a first approach which...
Pierrick Plamondon, Brahim Chaib-draa, Abder Rezak...
ICASSP
2010
IEEE
14 years 10 months ago
Modified hierarchical clustering for sparse component analysis
The under-determined blind source separation (BSS) problem is usually solved using the sparse component analysis (SCA) technique. In SCA, the BSS is usually solved in two steps, w...
Nasser Mourad, James P. Reilly
DAGSTUHL
2008
15 years 4 months ago
Improving the Performance of a Verified Linear System Solver Using Optimized Libraries and Parallel Computation
Abstract. A parallel version of the self-verified method for solving linear systems was presented in [19, 18]. In this research we propose improvements aiming at a better performan...
Mariana Luderitz Kolberg, Gerd Bohlender, Dalcidio...