Ingo Fründ,
"Speed in early visual processing",
Universität Magdeburg, 2007.
Abstract
The ability to recognize objects rapidly and reliably is crucuial for the functioning of the visual system. Such rapid processing could be implemented by phase resets of high frequency signals that are propagated through the visual system. Such signals were investigated using time-frequency analyses of electroencephalogram time series. I demonstrate that such high frequency signals can reliably be measured and proceed to report two experiments th...
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Julian Eggert, Chen Zhang, Edgar Körner,
"Template matching for large transformations",
Artificial Neural Networks, 17. International Conference (ICANN), pp. 169-179, 2007.
Abstract
Finding a template image in another larger image is a problem that has applications in many vision research areas such as models for object detection and tracking. The main problem here is that under real-world conditions the searched image usually is a deformed version of the template, so that these deformations have to be taken into account by the matching procedure. A common way to do this is by minimizing the difference between the template a...
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Dudy Lim, Yew-Soon Ong, Meng-Hiot Lim, Yaochu Jin,
"Single/multi-objective inverse robust evolutionary design methodology in the presence of uncertainty",
Evolutionary Computation in Dynamic and Uncertain Environments, Springer, 2007.
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Mark Toussaint and Christian Goerick,
"Probabilistic inference for structured planning in robotics",
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2007), 2007.
Abstract
Real-world robotic environments are highly structured. The scalability of planning and reasoning methods to cope with complex problems in such environments crucially depends on exploiting this structure. We propose a new approach to planning in robotics based on probabilistic inference. The method uses structured Dynamic Bayesian Networks to represent the scenario and efficient inference techniques (loopy belief propagation) to solve planning pro...
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Ingo Fründ, Niko Busch, Jeanette Schadow, Ursula Körner, Christoph Herrmann,
"From perception to action: phase-locked gamma oscillations correlate with reaction times in a speeded response task",
BMC Neuroscience, vol. 8, pp. 27: 1-11, 2007.
Abstract
BACKGROUND: Phase-locked gamma oscillations have so far mainly been described in relation to perceptual processes such as sensation, attention or memory matching. Due to its very short latency ( approximately 90 ms) such oscillations are a plausible candidate for very rapid integration of sensory and motor processes. RESULTS: We measured EEG in 13 healthy participants in a speeded reaction task. Participants had to press a button as fast as possi...
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Andreas Knoblauch, Rüdiger Kupper, Ursula Körner, Edgar Körner, Marc-Oliver Gewaltig,
"A model for structural plasticity in neocortical associative networks trained by the hippocampus.",
4th Computational and Systems Neuroscience Meeting (COSYNE), pp. 217, 2007.
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Hans-Georg Beyer and Bernhard Sendhoff,
"Robust optimization - A comprehensive survey",
Computer Methods in Applied Mechanics and Engineering, vol. 196, no. 33-34, pp. 3190–3218, 2007.
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Stephan Hasler, Heiko Wersing, Edgar Körner,
"Combining Reconstruction and Discrimination with Class-Specific Sparse Coding",
Neural Computation, vol. 19, no. 7, pp. 1897–1918, 2007.
Abstract
Sparse coding is an important approach for the unsupervised learning of sensory features. In this contribution we present two new methods which extend the traditional sparse coding approach with supervised components. Our goal is to increase the suitability of the learned features for classification tasks while keeping most of their general representation capability. We analyze the effect of the new methods using a visualization on artificial dat...
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Thomas Michalke, Alexander Gepperth, Martin Schneider, Jannik Fritsch, Christian Goerick,
"Towards a Human-like Vision System for Resource-Constrained Intelligent Cars",
Proceedings of the 5th International Conference on Computer Vision Systems (ICVS 2007), 2007.
Abstract
Research on computer vision systems for driver assistance resulted in a variety of approaches mainly performing reactive tasks like, e.g., lane keeping. However, for a full understanding of generic traffic situations, integrated and more flexible approaches are needed. We present a system inspired by the human visual system. Based on combining task-dependent tunable visual saliency, an object recognizer, and a tracker it provides warnings in dang...
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Claudius Gläser, Martin Heckmann, Frank Joublin, Christian Goerick, Horst-Michael Groß,
"Joint Estimation of Formant Trajectories via Spectro-Temporal Smoothing and Bayesian Techniques",
International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 477–480, 2007.
Abstract
We propose a method for the joint estimation of formant trajectories from spectrograms. Formants are enhanced in the spectrograms obtained from the application of a Gammatone filterbank via a smoothing along the frequency axis. In contrast to previously published approaches, the used tracking algorithm relies on the joint distribution of formants rather than using independent tracker instances. More precisely, Bayesian mixture filtering in conjun...
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