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EOR
2007
111views more  EOR 2007»
13 years 7 months ago
Linear programming based algorithms for preemptive and non-preemptive RCPSP
: In this paper, the RCPSP (Resource Constrained Project Scheduling Problem) is solved using a linear programming model. Each activity may or may not be preemptive. Each variable i...
Jean Damay, Alain Quilliot, Eric Sanlaville
IPCO
2008
221views Optimization» more  IPCO 2008»
13 years 9 months ago
A Comparative Study of Linear and Semidefinite Branch-and-Cut Methods for Solving the Minimum Graph Bisection Problem
Abstract. Semidefinite relaxations are known to deliver good approximations for combinatorial optimization problems like graph bisection. Using the spectral bundle method it is pos...
Michael Armbruster, Marzena Fügenschuh, Chris...
VMV
2001
101views Visualization» more  VMV 2001»
13 years 9 months ago
Object Localization Using Linear Adaptive Filters
We present a novel approach to localization of objects in clutter images with the use of linear adaptive filters in a two-object classifier: target object versus clutter object. A...
Ben-Zion Shaick, Leonid P. Yaroslavsky
CSDA
2007
128views more  CSDA 2007»
13 years 7 months ago
Regularized linear and kernel redundancy analysis
Redundancy analysis (RA) is a versatile technique used to predict multivariate criterion variables from multivariate predictor variables. The reduced-rank feature of RA captures r...
Yoshio Takane, Heungsun Hwang
ISCI
1998
193views more  ISCI 1998»
13 years 7 months ago
A Parallel Implementation of Genetic Programming that Achieves Super-Linear Performance
: This paper describes the successful parallel implementation of genetic programming on a network of processing nodes using the transputer architecture. With this approach, researc...
David Andre, John R. Koza