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» Automated neuron model optimization techniques: a review
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FTEDA
2006
137views more  FTEDA 2006»
13 years 8 months ago
Statistical Performance Modeling and Optimization
As IC technologies scale to finer feature sizes, it becomes increasingly difficult to control the relative process variations. The increasing fluctuations in manufacturing process...
Xin Li, Jiayong Le, Lawrence T. Pileggi
CVPR
2009
IEEE
15 years 3 months ago
Learning Rotational Features for Filament Detection
State-of-the-art approaches for detecting filament-like structures in noisy images rely on filters optimized for signals of a particular shape, such as an ideal edge or ridge. W...
François Fleuret, Germán Gonzá...
GECCO
2008
Springer
201views Optimization» more  GECCO 2008»
13 years 9 months ago
Advanced techniques for the creation and propagation of modules in cartesian genetic programming
The choice of an appropriate hardware representation model is key to successful evolution of digital circuits. One of the most popular models is cartesian genetic programming, whi...
Paul Kaufmann, Marco Platzner
DAC
2003
ACM
14 years 9 months ago
Design techniques for sensor appliances: foundations and light compass case study
We propose the first systematic, sensor-centric approach for quantitative design of sensor network appliances. We demonstrate its use by designing light appliance devices and the ...
Jennifer L. Wong, Seapahn Megerian, Miodrag Potkon...
SAT
2005
Springer
142views Hardware» more  SAT 2005»
14 years 1 months ago
Optimizations for Compiling Declarative Models into Boolean Formulas
Advances in SAT solver technology have enabled many automated analysis and reasoning tools to reduce their input problem to a SAT problem, and then to use an efficient SAT solver ...
Darko Marinov, Sarfraz Khurshid, Suhabe Bugrara, L...