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SARA
2009
Springer
16 years 1 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
CEC
2007
IEEE
16 years 24 days ago
On improving approximate solutions by evolutionary algorithms
Abstract—Hybrid methods are very popular for solving problems from combinatorial optimization. In contrast to this the theoretical understanding of the interplay of different opt...
Tobias Friedrich, Jun He, Nils Hebbinghaus, Frank ...
ICDM
2007
IEEE
124views Data Mining» more  ICDM 2007»
16 years 23 days ago
Community Learning by Graph Approximation
Learning communities from a graph is an important problem in many domains. Different types of communities can be generalized as link-pattern based communities. In this paper, we p...
Bo Long, Xiaoyun Xu, Zhongfei (Mark) Zhang, Philip...
ACCV
2006
Springer
16 years 13 days ago
Fast Approximated SIFT
We propose a considerably faster approximation of the well known SIFT method. The main idea is to use efficient data structures for both, the detector and the descriptor. The detec...
Michael Grabner, Helmut Grabner, Horst Bischof
ASAP
2005
IEEE
118views Hardware» more  ASAP 2005»
16 years 2 days ago
Real-time H/W Implementation of the Approximate Discrete Radon Transform
The Radon transform (RT) is a widely studied algorithm used to perform image pattern extraction in fields such as computer graphics, medical imagery, and avionics. Real-time impl...
Michael T. Frederick, Nathan A. VanderHorn, Arun K...