Search our Publications
Latest Publications
Lars Gräning, Markus Olhofer, Bernhard Sendhoff , "Interaction Detection in Aerodynamic Design Data", Proceedings of the [10th] International Conference on Intelligent Data Egineering and Automated Learning (IDEAL), 2009.
AbstractIn large and complex aerodynamic systems the overall performance of a design is mainly defined by interactions between design areas rather than by single design regions. Therefore it is necessary to identify these interactions in order to be able to understand and improve the designs. However, detecting and modeling those interactive effects between distant design areas is a very challenging task which usually requires a detailed understanding of...
Download Bibtex file Download PDF
Katrin Lohan, Anna-Lisa Vollmer, Jannik Fritsch, Katharina Rohlfing, Britta Wrede , "Which ostensive stimuli can be used for a robot to detect and maintain tutoring situations?", Int. Workshop on Social Signals Processing, 2009.
Download Bibtex file Download PDF
Yongkie Wiyogo , "Processing of sensory stimuli with recurrent neural networks", TU Darmstadt, 2009.
AbstractRecurrent neural networks, one of many neural network concepts, are used in our work to process sensory stimuli received by an intelligent car. The hypothesis underlying this thesis is that the intrinsic properties of recurrent neural networks can be exploited in order to achieve a robust and error-free environment perception. By using dynamic neural fields, a subclass of recurrent neural networks, we can perform information processing of the aut...
Download Bibtex file Per Mail Request
Matthew Howard, Stefan Klanke, Michael Gienger, Christian Goerick, Sethu Vijayakumar , "A Novel Method for Learning Policies from Constrained Motion", International Conference on Robotics and Automation (ICRA), 2009.
AbstractMany everyday human skills can be framed in terms of performing some task subject to constraints imposed by the environment. Constraints are usually unobservable and frequently change between contexts. In this paper, we present a novel approach for learning (unconstrained) control policies from movement data, where observations come from movements under different constraints. As a key ingredient, we introduce a small but highly effective modifica...
Download Bibtex file Download PDF
Stefan Menzel , "Topographic Arrangement of 3D Design Components on 2D Maps by Unsupervised Feature Extraction", Proceedings of World Academy of Science, Engineering and Technology, issue Volume 55, pp. 74–81, 2009.
AbstractAs a result of the daily workflow in the design development departments of companies, databases containing huge numbers of 3D geometric models are generated. According to the given problem engineers create CAD drawings based on their design ideas and evaluate the performance of the resulting design, e.g. by computational simulations. Usually, new geometries are built either by utilizing and modifying sets of existing components or by adding singl...
Download Bibtex file Download PDF
Jeanette Schadow, Daniel Lenz, Nicole Dettler, Ingo Fründ, Christoph Herrmann , "Early gamma-band responses reflect anticipatory top-down modulation in the auditory cortex", NeuroImage, vol. 47, no. 2, pp. 651-658, 2009.
AbstractFor efficient and fast encoding of our complex acoustic environment, not only aspects of bottom-up processing are significant, but rather top-down influences such as attention, memory, and anticipation promote specific behavior and perception. Neural oscillatory activity in the gamma-range (30-80 Hz) is discussed as a conceivable candidate to represent very rapid modulations of top-down factors. We investigated effects of anticipation on early ga...
Download Bibtex file Download PDF
Alexander Denecke, Heiko Wersing, Jochen Steil, Edgar Körner , "Online Figure-Ground Segmentation with Adaptive Metrics in Generalized LVQ", Neurocomputing, vol. 72, no. 7-9, pp. 1470-1482, 2009.
AbstractWe address the problem of fast figure-ground segmentation of single objects from cluttered backgrounds to improve object learning and recognition. For the segmentation, we use an initial foreground hypothesis to train a classifier for figure and ground on topographically ordered feature maps with Generalized Learning Vector Quantization. We investigate the contribution of several adaptive metrics to enable generalization to the main object parts ...
Download Bibtex file Download PDF
Björn Schölling , "Binaural Signal Processing", Technische Universität Darmstadt, 2009.
AbstractThe processing and analysis of audio signals play an important role in the interaction of humans and robots. Crucial for the performance of such methods, e.g. speech recognition and source localization, is that the signal of interest is dominant in comparison to the other perceived audio signals. Interfering speech signals, noise, and echoes (reverbera- tion) lead to a severe degradation in performance, and methods that are able to filter the des...
Download Bibtex file Per Mail Request
Hisashi Sugiura, Herbert Janßen, Christian Goerick , "Instant prediction for reactive motions with planning. ", 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems , 2009.
AbstractReactive control and planning are complementary methods in robot motion control. The advantage of planning is the ability to find difficult solutions, optimize trajectories globally and not getting stuck in local minima but at higher computational cost. On the other hand, reactive control can handle dynamic or uncertain environments at low computa- tional cost, but may get stuck in local minima. In this paper, we propose a new approach to ...
Download Bibtex file Download PDF
Bernhard Sendhoff, Edgar Körner, Olaf Sporns , "Creating Brain-like Intelligence", Creating Brain-like Intelligence, pp. 1–15, 2008.
Download Bibtex file Download PDF
1 ... 143 144 145 146 147 148 ... 183
Follow us
