Yaochu Jin, Bernhard Sendhoff, Edgar Körner,
"Simultaneous generation of accurate and interpretable neural network classifiers",
Multi-Objective Machine Learning, Springer, pp. 281–300, 2006.
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Vineet Khare, Xin Yao, Bernhard Sendhoff,
"Multi-network evolutionary systems and automatic problem decomposition",
International Journal of General Systems, vol. 35, no. 3, pp. 259-274, 2006.
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Stefan Menzel, Markus Olhofer, Bernhard Sendhoff,
"Evolutionary Design Optimisation of a Turbine Stator Blade using Free Form Deformation Techniques",
Conference on Modelling Fluid Flow (CMFF), 2006.
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Lars Gräning,
"Evolutionary Multi-objective Approach to the Analysis of Receiver Operating Characteristics of Neural Network Classifiers",
TU-Ilmenau, 2006.
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Thorsten Koch, Torsten Doll, Thilo Bein, Markus Olhofer,
"Adaptive Flapping Wings for Wind Tunnel Tests",
Adaptronic Congress 2006, 2006.
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Matthew Howard, Michael Gienger, Christian Goerick,
"Learning Utility Surfaces for Movement Selection",
Proc. IEEE International Conference on Robotics and Biomimetics (ROBIO), 2006.
Abstract
Here we present a novel approach for designing cost functions for optimal control in the null-space by exploiting recent advances in statistical machine learning. The behaviour of a (kinematically or dynamically controlled) mechanical system performing some task is observed and separated into task- and null-space components. The null-space component is then modelled as a first order differential equation with the cost as the independent variable....
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Volker Willert, Julian Eggert, Jürgen Adamy, Raphael Stahl, Edgar Körner,
"A Probabilistic Model for Binaural Sound Localization",
IEEE Transactions on Systems, Man and Cybernetics - Part B, vol. 36, no. 5, pp. 982-994, 2006.
Abstract
In this paper, we propose a biologically inspired and technically realized sound localization system to robustly estimate the position of a sound source in the frontal azimuthal half-plane. For localization, binaural cues are extracted using cochleagrams generated by a cochlear model that serve as input to the system. The basic idea of the model is to separately measure interaural time differences and interaural level differences for a number of ...
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Volker Willert, Julian Eggert, Jürgen Adamy, Edgar Körner,
"Non-Gaussian Velocity Distributions Integrated over Space, Time and Scales",
IEEE Transactions on Systems, Man and Cybernetics B, vol. 36, no. 03, pp. 482–493, 2006.
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Björn Schölling, Martin Heckmann, Frank Joublin, Christian Goerick,
"From Source Localization to Blind Source Separation: An Intuitive Route to Convolutive Blind Source Separation",
Proceedings of the International Workshop on Acoustic Echo and Noise Control (IWAENC), 2006.
Abstract
Most algorithms for blind source separation (BSS) of convolutive speech mixtures are derived in a deductive way from abstract statistical principles and exploit a combination of three signal properties, i.e. nongaussianity, nonwhiteness and nonstationarity. In this paper we show how a separation system can be build the opposite, inductive, way using basic speech processing building blocks. The main block and starting point of our derivation is a ...
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Achim Bendig,
"Ansteuerung eines experimentellen Stereokamerakopfes",
Hochschule Mannheim, 2006.
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