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SIAMIS
2011
14 years 9 months ago
Large Scale Bayesian Inference and Experimental Design for Sparse Linear Models
Abstract. Many problems of low-level computer vision and image processing, such as denoising, deconvolution, tomographic reconstruction or superresolution, can be addressed by maxi...
Matthias W. Seeger, Hannes Nickisch
EUROCAST
2007
Springer
132views Hardware» more  EUROCAST 2007»
15 years 6 months ago
Using Omnidirectional BTS and Different Evolutionary Approaches to Solve the RND Problem
RND (Radio Network Design) is an important problem in mobile telecommunications (for example in mobile/cellular telephony), being also relevant in the rising area of sensor network...
Miguel A. Vega-Rodríguez, Juan Antonio G&oa...
TEC
2002
163views more  TEC 2002»
15 years 2 months ago
Ants can solve constraint satisfaction problems
In this paper, we describe a new incomplete approach for solving constraint satisfaction problems (CSPs) based on the ant colony optimization (ACO) metaheuristic. The idea is to us...
Christine Solnon
EVOW
2007
Springer
15 years 8 months ago
A Hybrid Method for Solving Large-Scale Supply Chain Problems
Abstract. The strategic supply chain design problem which allows capacity shifts and budget limitations can be formulated as a linear program. Since facilities are allowed to be op...
Steffen Wolf, Peter Merz
ATMOS
2007
183views Optimization» more  ATMOS 2007»
15 years 4 months ago
Solving Large Scale Crew Scheduling Problems by using Iterative Partitioning
This paper deals with large-scale crew scheduling problems arising at the Dutch railway operator, Netherlands Railways (NS). We discuss several methods to partition large instances...
Erwin J. W. Abbink, Joel Van't Wout, Dennis Huisma...