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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 Ekkehard 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.
AbstractTo 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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Heiko Wersing, Stephan Kirstein, Michael Götting, Holger Brandl, Mark Dunn, Inna Mikhailova, Christian Goerick, Jochen Steil, Helge Ritter, Edgar Körner , "Online Learning of Objects in a Biologically Motivated Visual Architecture", International Journal of Neural Systems, vol. 17, no. 4, pp. 219–230, 2007.
AbstractWe present a biologically motivated architecture for object recognition that is capable of online learning of several objects based on interaction with a human teacher. The system combines biological principles such as appearance-based representation in topographical feature detection hierarchies and context-driven transfer between different levels of object memory. Training can be performed in an unconstrained environment by presenting objects i...
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Nils Einecke , "Analysis of nonlinear dimensionality reduction for view-based object parameterization", TU Ilmenau, 2007.
AbstractCompact and descriptive object representation is a key element for object recognition and tracking. Traditional view-based object representations usually consist of a number of alternative view representatives, leading to a spotty representation in a high dimensional feature space. What is lacking in such a representation is the notion that each view representative is related to low dimensional parameters that characterize the objects appearance ...
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Florian Röhrbein, Julian Eggert, Edgar Körner , "Prototypical Relations for Cortex-Inspired Semantic Representations", Proceedings of the 8th International Conference on Cognitive Modeling (ICCM 2007), pp. 307-312, 2007.
AbstractCognitive systems for the representation of declarative knowledge like semantic networks and other graph-based systems are widely unrelated to characteristic neurobiological mechanisms in the brain. In this contribution we report on our efforts in bridging the gap between typical semantic relations like “is part of”, “has property” etc. and the laminar wiring pattern of the neocortex. Central to our approach is the identification of the cortical ...
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Aimin Zhou, Qingfu Zhang, Yaochu Jin, Bernhard Sendhoff , "Adaptive modeling strategy for continuous multi-objective optimization", IEEE Congress on Evolutionary Computation, pp. 431-437, 2007.
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Martin Schneider, Jens Gayko, Christian Goerick , "About robust hypotheses generation and object validation in traffic scenes", IEEE Intelligent Vehicles Symposium (IV), 2007.
AbstractEnvironmental perception is an important element of Advanced Driver Assistance Systems. The perception mainly consists of the steps sensing and data interpretation. Both of these steps are affected by errors due to noise and misinterpretations. Therefore, we present a system design addressing the problem of robust processing under limited resources in a hierarchical system architecture that can use state of the art data-fusion and object-recognit...
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Andreas Knoblauch, Marc-Oliver Gewaltig, Rüdiger Kupper, Ursula Körner, Edgar Körner , "Improving the storage capacity of neocortical associative networks by structural plasticity and hippocampal training.", Proceedings of the 4th HRI Global Workshop on Advances in Computational Intelligence, pp. 17–26, 2007.
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Till Steiner, Lisa Schramm, Yaochu Jin, Bernhard Sendhoff , "Emergence of Feedback in Artificial Gene Regulatory Networks", IEEE Congress on Evolutionary Computation, CEC, 2007.
AbstractIn this paper, we present a model for simulating the evolution of development together with a method for the analysis of emergence of negative feedback inside the regulatory network. In order to record the development of feedback during evolution, we analyze both the static as well as the dynamic interactions between the transcription factors in the regulatory network. When perturbing the gene regulatory network using random mutations, we find th...
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