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Ming Liu , "Auditory Gist", FIAS, Frankfurt University, 2010.
AbstractIn this thesis, Auditory gist analysis and sound signal processing methods for auditory gist classification are developed. Generally, the thesis concerns the problem of getting auditory gist. The auditory gist, general assumed to be a perception of a sound. The auditory gist idea is from visual gist. Just see an image, people can immediately get a rough idea about the image¡Çs main scene information, this is visual gist. By the same way, the gist...
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Matthias Rolf, Jochen Steil, Michael Gienger , "Learning Flexible Full Body Kinematics for Humanoid Tool Use", Proceedings of the International Symposium on Learning and Adaptive Behavior in Robotic Systems, 2010.
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Coralie Camus , "Extraction of optical flow fields from from a "silicon retina" optical sensor", TU Darmstadt, 2010.
AbstractTraditional vision sensors (cameras) present some limits like a high latency that the dynamic vision sensor from ETH Zurich try to minimize. This project aims to extract motion vectors from events provided by the DVS128 in an asynchronous stream of data. In contrast to traditional computation using a xed time distance and estimating the spatial distances, the spatial distance are here xed and the time intervals estimated. For this, several Reicha...
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Nikola Aulig, Lars Gräning, Markus Olhofer , "Towards Directed Open-Ended Search by a Novelty Guided Evolution Strategy", Parallel Problem Solving from Nature - PPSN XI, pp. 71–80, 2010.
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Stefan Menzel, Markus Olhofer, Bernhard Sendhoff , "A Metamodel-driven Interactive Framework for a Designer Assistance System", Proceedings of the 11th International Design Conference – Design 2010, pp. 1371–1380, 2010.
AbstractThe design of innovative products in the automotive industry is influenced by multiple criteria dominated by both human creativity and technical requirements. Thus the generation of a prototype is an adaptive process which iteratively integrates the needs of various disciplines, working on different timescales. This paper proposes and evaluates a styling design framework which introduces the application of neural networks for fast estimation of t...
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Martin Ernst Heckmann , "Supervised vs. Unsupervised Learning of Spectro Temporal Speech Features", Statistical And Perceptual Audition (SAPA), 2010.
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Robert Kastner, Thomas Michalke, Thomas Burbach, Jannik Fritsch, Christian Goerick , "Attention-Based Traffic Sign Recognition with an Array of Weak Classifiers", IEEE Intelligent Vehicles Symposium (IV), 2010.
AbstractCurrently available traffic sign recognition systems typically focus on a single class of traffic sign and therefore, the algorithms are optimized to find only this specific class. To this end, a number of approaches for real time capable classification of mostly circular signs exist. Nevertheless, to simultaneously recognize a number of classes a different way has to be taken. This paper presents a real-time capable approach, which uses a two-ti...
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Sven Rebhan and Julian Eggert , "Dynamic, Task-Related and Demand-Driven Scene Representation", Cognitive Computation, 2010.
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Volker Willert and Julian Eggert , "Belief Propagation in Spatiotemporal Graph Topologies for the Analysis of Image Sequences", Proceedings of the VISAPP, 2010.
AbstractBelief Propagation (BP) is an efficient approximate inference technique both for Markov Random Fields (MRF) and Dynamic Bayesian Networks (DBN). 2DMRFs provide a unified framework for early vision problems that are based on static image observations. 3D MRFs are suggested to cope with dynamic image data. To the contrary, DBNs are far less used for dynamic low level vision problems even though they represent sequences of state variables and hence ...
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Martin Ernst Heckmann, Frank Joublin, Kazuhiro Nakadai , "Applying Geometric Source Separation for Improved Pitch Extraction in Human-Robot Interaction", Proc. INTERSPEECH, 2010.
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