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GECCO
2009
Springer
258views Optimization» more  GECCO 2009»
15 years 4 months ago
Evolutionary learning of local descriptor operators for object recognition
Nowadays, object recognition is widely studied under the paradigm of matching local features. This work describes a genetic programming methodology that synthesizes mathematical e...
Cynthia B. Pérez, Gustavo Olague
MMM
2005
Springer
172views Multimedia» more  MMM 2005»
15 years 5 months ago
A Novel Approach of 3D Reconstruction of Human Face Using Monocular Camera
Three-dimensional model acquisition of an object is essential in many multimedia applications. Constructing three-dimensional models of objects from two-dimensional images is an o...
Ben Yip, Jesse S. Jin
GECCO
2009
Springer
162views Optimization» more  GECCO 2009»
15 years 4 months ago
TestFul: using a hybrid evolutionary algorithm for testing stateful systems
This paper introduces TestFul, a framework for testing stateful systems and focuses on object-oriented software. TestFul employs a hybrid multi-objective evolutionary algorithm, t...
Matteo Miraz, Pier Luca Lanzi, Luciano Baresi
GECCO
2008
Springer
147views Optimization» more  GECCO 2008»
15 years 27 days ago
On selecting the best individual in noisy environments
In evolutionary algorithms, the typical post-processing phase involves selection of the best-of-run individual, which becomes the final outcome of the evolutionary run. Trivial f...
Wojciech Jaskowski, Wojciech Kotlowski
EMO
2001
Springer
150views Optimization» more  EMO 2001»
15 years 4 months ago
On the Effects of Archiving, Elitism, and Density Based Selection in Evolutionary Multi-objective Optimization
This paper studies the influence of what are recognized as key issues in evolutionary multi-objective optimization: archiving (to keep track of the current non-dominated solutions...
Marco Laumanns, Eckart Zitzler, Lothar Thiele