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GPEM
2006
89views more  GPEM 2006»
13 years 8 months ago
Morphological algorithm design for binary images using genetic programming
This paper presents a Genetic Programming (GP) approach to the design of Mathematical Morphology (MM) algorithms for binary images. The algorithms are constructed using logic opera...
Marcos I. Quintana, Riccardo Poli, Ela Claridge
CEC
2003
IEEE
14 years 2 months ago
Comparing neural networks and Kriging for fitness approximation in evolutionary optimization
Neural networks and the Kriging method are compared for constructing £tness approximation models in evolutionary optimization algorithms. The two models are applied in an identica...
Lars Willmes, Thomas Bäck, Yaochu Jin, Bernha...
SERA
2010
Springer
13 years 7 months ago
Representing Unique Stakeholder Perspectives in BPM Notations
—Evidence shows that proposals for new modeling notations emerge and evolution of current ones are becoming more complex, often in an attempt to satisfy the many different modeli...
Carlos Monsalve, Alain April, Alain Abran
NC
2011
232views Neural Networks» more  NC 2011»
13 years 3 months ago
The effect of malformed tiles on tile assemblies within the kinetic tile assembly model
Many different constructions of proofreading tile sets have been proposed in the literature to reduce the effect of deviations from ideal behaviour of the dynamics of the molecular...
Ya Meng, Navin Kashyap
CVIU
2008
188views more  CVIU 2008»
13 years 9 months ago
Learning function-based object classification from 3D imagery
We propose a novel scheme for using supervised learning for function-based classification of objects in 3D images. During the learning process, a generic multi-level hierarchical ...
Michael Pechuk, Octavian Soldea, Ehud Rivlin