Lars Gräning , "Knowledge Extraction from Aerodynamic Design Data and its Application to 3D Turbine Blade Geometries", International Workshop on Machine Learning for Aerospace, 2009.
Niko Wilbert, Robert Legenstein, Mathias Franzius, Laurenz Wiskott , "Reinforcement learning on complex visual stimuli", BMC Neuroscience, vol. 10, no. Suppl 1, pp. P90, 2009.
AbstractAnimals are confronted with the problem of initiating motor actions based on very complex sensor y input. We have build a biologically plausible model that uses reinforcement learning on complex visual stimuli to direct an agent towards a target. This is made possible by first extracting a high-level representation of the scene with a hierarchical network and then applying a correlation based reinforcement learning rule....
Ben Jones , "The Evolutionary Emergence of Neural Organisation in Computational Models of Primitive Organisms", University of Birmingham, 2009.
Sven Schrader, Marc-Oliver Gewaltig, Ursula Körner, Edgar Körner , "Cortext: A columnar model of bottom-up and top-down processing in the neocortex", Neural Networks, vol. 22, no. 8, pp. 1055–1070, 2009.
AbstractExperimental data suggests that a first hypothesis about the content of a complex visual scene is available as early as 150 ms after stimulus presentation. Other evidence suggests that recognition in the visual cortex of mammals is a bidirectional, often top-down driven process. Here, we present a spiking neural network model that demonstrates how the cortex can use both strategies: Faced with a new stimulus, the cortex first tries to catch the g...
Lisa Schramm, Yaochu Jin, Bernhard Sendhoff , "Emerged Coupling of Motor Control and Morphological Development in Evolution of Multi-Cellular Animats", 10th European Conference on Artificial Life, 2009.
Ingo Paenke, Yaochu Jin, Jürgen Branke , "Balancing population and individual level adaptation in changing environments", Adaptive Behavior, vol. 17, no. 2, pp. 153–174, 2009.
Kenji Hosada, Masataka Watanabe, Heiko Wersing, Edgar Körner, Hiroshi Tsujino, Hiroshi Tamura, Ichiro Fujita , "A model for learning topographically organized parts-based representations of objects in visual cortex: topographic non-negative matrix factorization", Neural Computation, vol. 21, no. 9, pp. 2605-2633, 2009.
AbstractObject representation in the inferior temporal cortex (IT), an area of visual cortex critical for object recognition in the primate, exhibits two prominent properties; (1) objects are represented by the combined activity of columnar clusters of neurons, each cluster represents component features or parts of objects, and (2) closely related features are continuously represented along the tangential direction of individual columnar clusters. Here w...
Chen Zhang, Julian Eggert, Nils Einecke , "Robust Tracking by Means of Template Adaptation with Drift Correction", Proceedings of the 7th International Conference on Computer Vision Systems (ICVS), 2009.
AbstractAlgorithms for correlation-based visual tracking rely to a great extent on a robust measurement of an object’s location, gained by comparing a template with the visual input. Robustness against object appearance transformations requires template adaptation - a technique that is subject to drift problems due to error integration. Most solutions to this “drift-problem” fall back on a dominant template that remains unmodified, preventing a true adap...
Tobias Rodemann, Frank Joublin, Christian Goerick , "Filtering environmental sounds using basic audio cues in robot audition", Proceedings of International Conference on Advanced Robotics (ICAR) 2009, 2009.
AbstractIn this article we present an approach for separating robot-directed speech from environmental sounds for applications in robot audition under high noise conditions. We introduce a new framework for audio processing that combines feature extraction and a grouping process to form what we call audio proto objects. These proto objects combine an arbitrary number of audio features in a compact representation that allows a filtering of environmental s...
Sven Hellbach, Julian Eggert, Edgar Körner, Horst-Michael Groß , "Experimental evaluation of approaches for long-term prediction of human movement trajectories", Australian Journal of Intelligent Information Processing Systems, 2009.
AbstractThis paper’s intention is to adapt prediction algorithms well known in the field of time series analysis to problems being faced in the field of mobile robotics and Human-Robot-Interaction (HRI). The idea is to predict movement data by understanding it as time series. The prediction takes place with a black box model, which means that no further knowledge on motion dynamics is used then the past of the trajectory itself. This means, the suggested...