Research Institute for Cognition and Robotics
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Filters: Author is Edgar Koerner [Clear All Filters]
"Online Figure-Ground Segmentation with Adaptive Metrics in Generalized LVQ",
Neurocomputing, pp. 1470-1482, 2009.
Download: DeneckeNeurocomputing2009Draft.pdf (1.26 MB)
"Adaptive scene-dependent filters in online learning environments.",
Proc. Eur. Symposium Artif. Neural Networks ESANN 2006, pp. 101-106, Apr, 2006.
"Trying to Grasp a Sketch of a Brain for Grasping",
Creating Brain-Like Intelligence, vol. 5436: Springer, pp. 84-102, 2009.
"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
"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)
"A biologically motivated system for unconstrained online learning of visual objects",
Proc. of the Int. Conf. on Artificial Neural Networks (ICANN), 2006.
"Online Learning of Objects and Faces in an Integrated Biologically Motivated Architecture",
International Conference in Computer Vision Systems: Bielefeld University, 2007.
"Probabilistic Optical Flow Estimation for Large Pixel Displacements Utilizing Egomotion Flow Compensation",
British Machine Vision Conference 2008, vol. 2, pp. 695–704, September, 2008.
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