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Yaochu Jin and Jürgen Branke , "Evolutionary optimization in uncertain environments", IEEE Transactions on Evolutionary Computation, vol. 9, no. 3, pp. 303-317, 2005.
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Lars Gräning, Yaochu Jin, Bernhard Sendhoff , "Efficient evolutionary optimization using individual-based evolution control and neural networks – a comparative Study", European Symposium on Artificial Neural Networks (ESANN), pp. 273-278, 2005.
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Marco Moebus , "Speaker-independent Voiced-Unvoiced-Detection for different Speaking Styles", TU Darmstadt, 2005.
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Martina Hasenjäger, Toyotaka Sonoda, Bernhard Sendhoff, Toshiyuki Arima , "Single and Multi-Objective Approaches to 3D Evolutionary Aerodynamic Design Optimization", Sixth World Congress on Structural and Multidisciplinary Optimization ({WCSMO6}), 2005.
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Thomas Guthier, Volker Willert, Julian Eggert , "Topological Sparse Learning of Dynamic Form Patterns", Neural Computation, vol. 27, no. 1, pp. 42-73, 2005.
AbstractMotion is a crucial source of information for a variety of tasks in social interactions. The process of how humans recognize complex articulated movements such as gestures or face expressions remains largely unclear. There is an ongoing discussion on how explicit low-level motion information, such as optical flow, is involved in the recognition process. We contribute to the discussion by introducing a computational model that classifies the spati...
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Tobias Rodemann, Frank Joublin, Edgar Körner , "Saccade Adaptation on a 2 DoF Camera Head", Third Workshop on SelfOrganization of AdaptiVE Behavior (SOAVE 2004) Ilmenau, pp. 94–103, 2004.
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Rüdiger Kupper , "Konzeptionelle Modellierung geometrischer Invarianzen in der visuellen Wahrnehmung von Primaten", Fachbereich Physik der Philipps-Universtität Marburg, 2004.
AbstractKurzfassung in Deutsch: Unser Sehsinn vermittelt uns eine stabile Wahrnehmung der Umwelt. Objekte darin erkennen wir unabhängig von der Position, die wir ihnen gegenüber einnehmen. Diese invariante Wahrnehmung ist im Rahmen der verfügbaren neuronalen Modelle nur mit Einschränkungen zu erklären. Die Standardmodelle basieren auf einer hierarchischen Anordnung von Nervenzellen, deren Ziel es ist, spezifische neuronale Antworten für komplexe visuelle...
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Tatsuya Okabe, Yaochu Jin, Bernhard Sendhoff, Markus Olhofer , "Voronoi-based Estimation of Distribution Algorithm for Multi-objective Optimization", Congress on Evolutionary Computation (CEC), pp. 1594–1602, 2004.
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Alexandra Mark, Bernhard Sendhoff, Heiko Wersing , "Evolution of a Learning and Anticipating Decision System", Third Workshop on SelfOrganization of AdaptiVE Behavior (SOAVE 2004) Ilmenau, pp. 271–281, 2004.
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Georg Schneider, Heiko Wersing, Bernhard Sendhoff, Edgar Körner , "Coupling of Evolution and Learning to Optimize a Hierarchical Object Recognition Model", Parallel Problem Solving from Nature – PPSN VIII, pp. 662-671, 2004.
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