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NN
2006
Springer
114views Neural Networks» more  NN 2006»
13 years 8 months ago
Modular learning models in forecasting natural phenomena
Modular model is a particular type of committee machine and is comprised of a set of specialized (local) models each of which is responsible for a particular region of the input s...
Dimitri P. Solomatine, Michael Baskara L. A. Siek
GLVLSI
2007
IEEE
186views VLSI» more  GLVLSI 2007»
13 years 8 months ago
Block placement to ensure channel routability
Given a set of placed blocks, we present an algorithm that minimally spaces the blocks to ensure routability under several assumptions. By performing a binary search on total widt...
Shigetoshi Nakatake, Zohreh Karimi, Taraneh Taghav...
EOR
2007
159views more  EOR 2007»
13 years 8 months ago
Solving the semi-desirable facility location problem using bi-objective particle swarm
In this paper, a new model for the semi-obnoxious facility location problem is introduced. The new model is composed of a weighted minisum function to represent the transportation...
Haluk Yapicioglu, Alice E. Smith, Gerry V. Dozier
VRIPHYS
2010
13 years 3 months ago
Optimization-based Fluid Simulation on Unstructured Meshes
We present a novel approach to fluid simulation, allowing us to take into account the surface energy in a precise manner. This new approach combines a novel, topology-adaptive app...
Marek Krzysztof Misztal, Robert Bridson, Kenny Erl...
ICIP
2005
IEEE
14 years 10 months ago
Performance evaluation of parametric bias field correction
Magnetic Resonance (MR) images often exhibit grayscale nonuniformities, caused by radio frequency (RF) coil design or acquisition sequences. Many algorithms to remove these nonuni...
Vitali Zagorodnov, Mads Fogtmann Hansen