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» New interval methods for constrained global optimization
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144
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SARA
2009
Springer
15 years 10 months ago
Some Interval Approximation Techniques for MINLP
MINLP problems are hard constrained optimization problems, with nonlinear constraints and mixed discrete continuous variables. They can be solved using a Branch-and-Bound scheme c...
Nicolas Berger, Laurent Granvilliers
153
Voted
VMV
2001
132views Visualization» more  VMV 2001»
15 years 5 months ago
Optimal Memory Constrained Isosurface Extraction
Efficient isosurface extraction from large volume data sets requires special algorithms and data structures. Such algorithms typically either use a hierarchical spatial subdivisio...
Dietmar Saupe, Jürgen Toelke
CVPR
2012
IEEE
13 years 6 months ago
Globally optimal line clustering and vanishing point estimation in Manhattan world
The projections of world parallel lines in an image intersect at a single point called the vanishing point (VP). VPs are a key ingredient for various vision tasks including rotati...
Jean Charles Bazin, Yongduek Seo, Cédric De...
137
Voted
ICCV
2003
IEEE
16 years 5 months ago
Globally Convergent Autocalibration
Existing autocalibration techniques use numerical optimization algorithms that are prone to the problem of local minima. To address this problem, we have developed a method where ...
Arrigo Benedetti, Alessandro Busti, Michela Farenz...