Lars Gräning, Markus Olhofer, Bernhard Sendhoff,
"Knowledge Extraction from Unstructured Surface Meshes",
Proceedings of the 8th International Conference on Intelligent Data Egineering and Automated Learning (IDEAL), pp. 497–506, 2007.
Abstract
We propose methods that allow the investigation of local modifications of aerodynamic design data represented by discrete unstructured surface meshes. A displacement measure is suggested to evaluate local differences between the shapes. The displacement measure provides information on the amount and direction of surface modifications. Using the displacement measure in conjunction with statistical methods or data mining techniques provides meaning...
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Lars Gräning, Yaochu Jin, Bernhard Sendhoff,
"Individual-based management of meta-models for evolutionary optimization with applications to three-dimensional blade optimization",
Evolutionary Computation in Dynamic and Uncertain Environments, Springer, 2007.
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Rüdiger Kupper, Andreas Knoblauch, Ursula Körner, Edgar Körner, Marc-Oliver Gewaltig,
"Fast visual responses: Is counting spikes enough?",
Cosyne 2007, 4th Computational and Systems, Salt Lake City, Utah, USA, pp. 189, 2007.
Abstract
In visual processing, the cortex very quickly arrives at a hypothesis about the stimulus [1]. Thorpe et al. suggested, that this hypothesis is generated in a feed-forward network, where each feature-selective cell evaluates the order (rank) of incoming spikes [2]. However, to evaluate a rank code, every feature-selective neuron needs a local readout circuit. This is both biologically implausible and expensive to implement. We propose, that post-s...
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Hans-Georg Beyer and Bernhard Sendhoff,
"Evolutionary Algorithms in the Presence of Noise - To sample or not to sample",
IEEE Symposium on Foundations of Computational Intelligence, FOCI, 2007.
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Dudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff, Bu-Sung Lee,
"Efficient hierarchical parallel genetic algorithms using grid computing",
Future Generation Computer Systems – The International Journal of Grid Computing: Theory, Methods and Applications, vol. 23, no. 4, pp. 658-670, 2007.
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Ingo Paenke, Bernhard Sendhoff, Jon Rowe, Chrisantha Fernando,
"On the Adaptive Disadvantage of Lamarckianism in Rapidly Changing Environments",
Advances in Artificial Life – Proceedings of the 9th European Conference ECAL, pp. 355–364, 2007.
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Cem Karaoguz,
"Adaptation of Gaze Fixation for An Active Stereo Vision System",
University of Applied Sciences Darmstadt, 2007.
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Pan Zhang, Xin Yao, Lei Ja, Bernhard Sendhoff, Thorsten Schnier,
"Target shape design optimization by evolving splines",
IEEE Congress on Evolutionary Computation, CEC, pp. 2009–2016, 2007.
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Toyotaka Sonoda, Martina Hasenjäger, Toshiyuki Arima, Bernhard Sendhoff,
"Effect of endwall contouring on performance of ultra-low aspect ratio transonic turbine inlet guide vanes",
Proceedings of the ASME Turbo Expo, 2007.
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Hans Plesser, Jochen Eppler, Abigail Morrison, Markus Diesmann, Marc-Oliver Gewaltig,
"Efficient parallel Simulation of Large-Scale Neuronal Networks on Clusters of Multiprocessor Computers",
Euro-Par 2007 Parallel Processing, issue Volume 4641/2007, pp. 672-681, 2007.
Abstract
To understand the principles of information processing in the brain, we depend on models with more than 10^5 neurons and 10^9 connections. These networks can be described as graphs of threshold elements that exchange point events over their connections. From the computer science perspective, the key challenges are to represent the connections succinctly; to transmit events and update neuron states efficiently; and to provide a comfortable user in...
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