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» Iterative Filter Generation Using Genetic Programming
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ICCV
2007
IEEE
14 years 3 months ago
Diffusion Tensor Image Smoothing Using Efficient and Effective Anisotropic Filtering
To improve the accuracy of tissue structural and architectural characterization with diffusion tensor imaging, an anisotropic smoothing algorithm is presented for reducing noise i...
Qing Xu 0003, Adam W. Anderson, John C. Gore, Zhao...
GECCO
2010
Springer
169views Optimization» more  GECCO 2010»
14 years 3 days ago
Robust symbolic regression with affine arithmetic
We use affine arithmetic to improve both the performance and the robustness of genetic programming for symbolic regression. During evolution, we use affine arithmetic to analyze e...
Cassio Pennachin, Moshe Looks, João A. de V...
GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
14 years 2 months ago
Exploring extended particle swarms: a genetic programming approach
Particle Swarm Optimisation (PSO) uses a population of particles that fly over the fitness landscape in search of an optimal solution. The particles are controlled by forces tha...
Riccardo Poli, Cecilia Di Chio, William B. Langdon
RAS
2010
117views more  RAS 2010»
13 years 7 months ago
Direct programming of a central pattern generator for periodic motions by touching
Much of the literature shows that Central Pattern Generators (CPGs) are a good approach for generating periodic motions for legged robots. In most of the presented works the numer...
Fabio Dalla Libera, Takashi Minato, Hiroshi Ishigu...
UPP
2004
Springer
14 years 2 months ago
Inverse Design of Cellular Automata by Genetic Algorithms: An Unconventional Programming Paradigm
Evolving solutions rather than computing them certainly represents an unconventional programming approach. The general methodology of evolutionary computation has already been know...
Thomas Bäck, Ron Breukelaar, Lars Willmes