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GECCO
2009
Springer
258views Optimization» more  GECCO 2009»
14 years 5 days 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»
14 years 1 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»
14 years 5 days 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»
13 years 8 months 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»
14 years 1 days 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