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» A branch and bound method for stochastic global optimization
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OL
2011
177views Neural Networks» more  OL 2011»
13 years 1 months ago
Exploiting vector space properties to strengthen the relaxation of bilinear programs arising in the global optimization of proce
In this paper we present a methodology for finding tight convex relaxations for a special set of quadratic constraints given by bilinear and linear terms that frequently arise in ...
Juan P. Ruiz, Ignacio E. Grossmann
CVPR
2008
IEEE
15 years 27 days ago
Motion estimation for multi-camera systems using global optimization
We present a motion estimation algorithm for multicamera systems consisting of more than one calibrated camera securely attached on a moving object. So, they move all together, bu...
Hongdong Li, Jae-Hak Kim, Richard I. Hartley
ICPR
2006
IEEE
14 years 12 months ago
Optimal Estimation of Perspective Camera Pose
In this paper we propose a practical and efficient method for finding the globally optimal solution to the problem of camera pose estimation for calibrated cameras. While traditio...
Carl Olsson, Fredrik Kahl, Magnus Oskarsson
DMIN
2007
203views Data Mining» more  DMIN 2007»
14 years 10 days ago
Evaluation of Feature Selection Techniques for Analysis of Functional MRI and EEG
— The application of feature selection techniques greatly reduces the computational cost of classifying highdimensional data. Feature selection algorithms of varying performance ...
Lauren Burrell, Otis Smart, George J. Georgoulas, ...
IPPS
2007
IEEE
14 years 5 months ago
A Grid-enabled Branch and Bound Algorithm for Solving Challenging Combinatorial Optimization Problems
Solving optimally large instances of combinatorial optimization problems requires a huge amount of computational resources. In this paper, we propose an adaptation of the parallel...
Mohand-Said Mezmaz, Nouredine Melab, El-Ghazali Ta...