Research Institute for Cognition and Robotics
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Filters: Author is Edgar Koerner [Clear All Filters]
"A biologically motivated system for unconstrained online learning of visual objects",
Proc. of the Int. Conf. on Artificial Neural Networks (ICANN), 2006.
"Adaptive scene-dependent filters in online learning environments.",
Proc. Eur. Symposium Artif. Neural Networks ESANN 2006, pp. 101-106, Apr, 2006.
"Adaptive scene dependent filters for segmentation and online learning of visual objects",
Neurocomputing, vol. 70(7-9), pp. 1235-1246, 2007.
Download: SteilNeurocomputing2007.pdf (1.39 MB)
"Online Learning of Objects and Faces in an Integrated Biologically Motivated Architecture",
International Conference in Computer Vision Systems: Bielefeld University, 2007.
"Estimating object proper motion using optical flow, kinematics, and depth information.",
IEEE Trans Syst Man Cybern B Cybern, vol. 38, no. 4, pp. 1139–1151, August, 2008.
Abstract
"Probabilistic Optical Flow Estimation for Large Pixel Displacements Utilizing Egomotion Flow Compensation",
British Machine Vision Conference 2008, vol. 2, pp. 695–704, September, 2008.
"Online Figure-Ground Segmentation with Adaptive Metrics in Generalized LVQ",
Neurocomputing, pp. 1470-1482, 2009.
Download: DeneckeNeurocomputing2009Draft.pdf (1.26 MB)
"Trying to Grasp a Sketch of a Brain for Grasping",
Creating Brain-Like Intelligence, vol. 5436: Springer, pp. 84-102, 2009.
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