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Sven Hellbach, Julian Eggert, Edgar Körner, Horst-Michael Groß , "Basis Decomposition of Motion Trajectories Using Spatio-temporal NMF", Artificial Neural Networks - {ICANN} 2009, 19th International Conference, pp. 804–814, 2009.
AbstractThis paper’s intention is to present a new approach for decomposing motion trajectories. The proposed algorithm is based on nonnegative matrix factorization, which is applied to a grid like representation of the trajectories. From a set of training samples a number of basis primitives is generated. These basis primitives are applied to reconstruct an observed trajectory. Hence, the reconstruction information can be used for classification. Furthe...
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Julian Eggert, Sven Hellbach, Alexander Kolarow, Edgar Körner, Horst-Michael Groß , "Prediction and Classification of Motion Trajectories Using Spatio-Temporal NMF", {KI} 2009: Advances in Artificial Intelligence, 32nd Annual German Conference on {AI}, Paderborn, Germany, September 15-18, 2009. Proceedings, pp. 597–606, 2009.
AbstractThis paper's intention is to present a new approach for decomposing motion trajectories. The proposed algorithm is based on nonnegative matrix factorization, which is applied to a grid like representation of the trajectories. From a set of training samples a number of basis primitives is generated. These basis primitives are applied to reconstruct an observed trajectory. The reconstruction information can be used afterwards for classi cation. An ...
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Martin Heracles, Ursula Körner, Thomas Michalke, Gerhard Sagerer, Jannik Fritsch, Christian Goerick , "A Dynamic Attention System that Reorients to Unexpected Motion in Real-World Traffic Environments", International Conference on Intelligent Robots and Systems (IROS), 2009.
AbstractIn this paper we propose a system architecture that extends the current state-of-the-art in computational visual attention by incorporating the biological concept of ventral attention. According to recent findings regarding the neurobiological foundations of attention, there exist two separate but interacting attention systems in the human brain: the dorsal attention system and the ventral attention system. As opposed to the well-known computatio...
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Matthew Howard, Stefan Klanke, Michael Gienger, Christian Goerick, Sethu Vijayakumar , "Behaviour Generation in Humanoids by Learning Potential-based Policies from Constrained Motion", Applied Bionics and Biomechanics, vol. - Special Issue on Humanoid Robots, 2009.
AbstractMovement generation that is consistent with observed or demonstrated behaviour is an efficient way to seed movement planning in complex, high dimensional movement systems like humanoid robots. We present a method for learning potential-based policies from constrained motion data. In contrast to previous approaches to direct policy learning, our method can combine observations from a variety of contexts where different constraints are in force, to...
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Stephan Hasler, Heiko Wersing, Stephan Kirstein, Edgar Körner , "Large-Scale Real-Time Object Identification Based on Analytic Features", Artificial Neural Networks – ICANN 2009, pp. 663–672, 2009.
AbstractInspired by biological findings, we present a system that is able to robustly identify a large number of pre-trained objects in real-time. In contrast to related work, we do not restrict the objects' pose to characteristic views but rotate them freely in hand in front of a cluttered background. We describe the essential system's ingredients, like prototype-based figure-ground segmentation, extraction of brain-like analytic features, and a simple ...
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Anna-Lisa Vollmer, Kathrin Lohan, Kerstin Fischer, Yukie Nagai, Karola Pitsch, Jannik Fritsch, Katharina Rohlfing, Britta Wrede , "People Modify Their Tutoring Behavior in Robot-Directed Interaction for Action Learning", International Conference on Development and Learning, 2009.
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Thomas H Weisswange, Constantin Rothkopf, Tobias Rodemann, Jochen Triesch , "A Reinforcement learning model develops causal inference and cue integration abilities", Proceedings of the 2009 Bernstein Conference on Computational Neuroscience, Frankfurt, 2009.
AbstractIn recent years it has been suggested that the performance of human subjects in a large variety of perceptual tasks can be modelled using Bayesian inference (e.g. [1]). The success of these methods stems from their capacity to explicitly represent the involved uncertainties. Recently, such methods have been extended to the task of model selection where the observer not only has to integrate different cues into a single estimate, but needs to firs...
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Inna Mikhailova , "Internal control for autonomous open-ended acquisition of new behaviors", Technische Fakultaet der Universitaet Bielefeld, 2009.
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Andreas Knoblauch, Marc-Oliver Gewaltig, Ursula Körner, Edgar Körner , "Structural plasticity and memory: Catastrophic forgetting, amnesia, and the spacing effect.", Frontiers in Systems Neuroscience. Conference Abstract: Computational and systems neuroscience, 2009.
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Yaochu Jin, Robin Gruna, Ingo Paenke, Bernhard Sendhoff , "Evolutionary multi-objective optimization of robustness and innovation in redundant genetic representations", 2009 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (IEEE MCDM 2009), pp. 38–45, 2009.
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