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Neale Samways, Yaochu Jin, Xin Yao, Bernhard Sendhoff , "Toward a Gene Regulatory Network Model for Evolving Chemotaxis Behavior", Congress on Evolutionary Computation, pp. pp.2574-2581, 2008.
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Holger Brandl, Frank Joublin, Christian Goerick , "Towards unsupervised online word clustering", Proc. International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2008.
AbstractUnderstanding the bootstrapping process of speech representation in infants is one key issue towards systems which may provide human-like speech recognition abilities some day. Until now, almost all current speech recognition systems have failed to integrate learning into the recognition process. Here we propose a system for unsupervised word-clustering, which is able to recognize and learn the structure of speech online in a unified framework. T...
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Martin Ernst Heckmann, Claudius Gläser, Miguel Vaz, Tobias Rodemann, Frank Joublin, Christian Goerick , "Listen to the Parrot: Demonstrating the Quality of Online Pitch and Formant Extraction Via Feature-Based Resynthesis", Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 1699-1704, 2008.
AbstractWe present a system for online extraction of the fundamental frequency and the first four formant frequencies from a speech signal. To evaluate the performance of the extraction a resynthesis of the speech signal is performed. The resynthesis is based on the extracted frequencies and the energy of the input signal at the formant locations. The extraction of the fundamental frequency and the formants is robust against room echoes and interfering n...
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Volker Willert, Julian Eggert, Mark Toussaint, Edgar Körner , "Probabilistic Exploitation of the Lucas and Kanade Smoothness Constraint", Machine Learning and Applications, 2008.
AbstractThe basic idea of Lucas and Kanade is to constrain the local motion measurement by assuming a constant velocity within a spatial neighborhood. We reformulate this spatial constraint in a probabilistic way assuming Gaussian distributed uncertainty in spatial identification of velocity measurements and extend this idea to scale and time dimensions. Thus, we are able to combine uncertain velocity measurements observed at different image scales and p...
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Dudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff , "Evolutionary optimization with dynamic fidelity computational models", Proceedings of International Conference on Intelligent Computing, pp. 235–242, 2008.
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Florian Röhrbein, Julian Eggert, Edgar Körner , "Bayesian Columnar Networks for Grounded Cognitive Systems", Proceedings of the 30th Annual Conference of the Cognitive Science Society, pp. 1423–1428, 2008.
AbstractThere are two elementary building blocks whose intimate relationship has been overlooked so far: The cortical column as ubiquitous local processor underlying all cognitive operations and the Bayesian framework with the generic operation of calculating posterior probabilities given likelihoods and prior probabilities. In this contribution we try to bridge this gap by providing a detailed mapping between parts of the cortical column and processing ...
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Dudy Lim , "Evolutionary Optimization For Computationally Expensive Problem", Nanyang Technological University, 2008.
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Michael Gienger, Mark Toussaint, Christian Goerick , "Task maps in humanoid robot manipulation", IEEE International Conference on Intelligent Robot and Systems, 2008.
AbstractThis paper presents an integrative approach to solve the coupled problem of reaching and grasping an object in a cluttered environment with a humanoid robot. While finding an optimal grasp is often treated independently from reaching to the object, in most situations it depends on how the robot can reach a pregrasp pose while avoiding obstacles. We tackle this problem by introducing the concept of task maps which represent the manifold of feasibl...
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Stefan Menzel and Bernhard Sendhoff , "Representing the Change - Free Form Deformation for Evolutionary Design Optimisation", Evolutionary Computation in Practice, Springer, pp. 63–86, 2008.
AbstractThe representation of a design influences the success of any kind of optimization significantly. The perfect trade-off between the number of parameters which define the search space and the achievable design flexibility is very crucial since it influences the convergence speed of the chosen optimization algorithm as well as the possibility to find the design which provides the best performance. Classical methods mostly define the design directly,...
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Sven Rebhan, Florian Röhrbein, Julian Eggert, Edgar Körner , "Attention Modulation Using Short- and Long-Term Knowledge", ICVS 2008, issue 5008, pp. 151–160, 2008.
AbstractA fast and reliable visual search is crucial for representing visual scenes. The modulation of bottom-up attention plays an important role here. The knowledge about target features is often used to bias the bottom-up pathway. In this paper we propose a system which does not only make use of knowledge about the target features, but also uses already acquired knowledge about objects in the current scene to speed up the visual search. Main ingredien...
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