Michael Götting
PEVZ-ID
6 Publikationen
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2009 | Patent | PUB-ID: 2637645Wersing, H., Götting, M., & Steil, J. J. (2009). Adaptive scene dependent filters in online learning environmentsPUB
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2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1996923Wersing, H., Kirstein, S., Götting, M., Brandl, H., Dunn, M., Mikhailova, I., Görick, C., et al. (2007). Online Learning of Objects and Faces in an Integrated Biologically Motivated Architecture. Proceedings of the 5th International Conference on Computer Vision Systems (ICVS 2007) Bielefeld: Bielefeld University. https://doi.org/10.2390/biecoll-icvs2007-67PUB | PDF | DOI
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2007 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1632803Wersing, H., Kirstein, S., Götting, M., Brandl, H., Dunn, M., Mikhailova, I., Görick, C., et al. (2007). Online Learning of Objects in a Biologically Motivated Visual Architecture. International Journal of Neural Systems, 17(04), 219-230. https://doi.org/10.1142/S0129065707001081PUB | DOI | WoS | PubMed | Europe PMC
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2007 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1594761Steil, J. J., Götting, M., Wersing, H., Körner, E., & Ritter, H. (2007). Adaptive scene dependent filters for segmentation and online learning of visual objects. Neurocomputing, 70(7-9), 1235-1246. https://doi.org/10.1016/j.neucom.2006.11.020PUB | PDF | DOI | WoS
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2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2142151Götting, M., Steil, J. J., Wersing, H., Körner, E., & Ritter, H. (2006). Adaptive scene-dependent filters in online learning environments. New issues in neurocomputing. 13th European Symposium on Artificial Neural Networks 2005, 101-106.PUB | PDF
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2006 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2142171Wersing, H., Kirstein, S., Götting, M., Brandl, H., Dunn, M., Mikhailova, I., Görick, C., et al. (2006). A biologically motivated system for unconstrained online learning of visual objects. In S. Kollias (Ed.), Proc. of the Int. Conf. on Artificial Neural Networks (ICANN) (Vol. 2, pp. 508-517). Berlin, Heidelberg: Springer Berlin Heidelberg. https://doi.org/10.1007/11840930_53PUB | DOI