View-tuned Approximate Partial Matching Kernel from Hierarchical Growing Neural Gases
Kortkamp M, Wachsmuth S (2011)
In: International Conference on Artificial Neural Networks. Springer.
Konferenzbeitrag
| Veröffentlicht | Englisch
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Autor*in
Einrichtung
Erscheinungsjahr
2011
Titel des Konferenzbandes
International Conference on Artificial Neural Networks
Konferenz
International Conference on Artificial Neural Networks
Konferenzort
Espoo, Finland
Page URI
https://pub.uni-bielefeld.de/record/2617425
Zitieren
Kortkamp M, Wachsmuth S. View-tuned Approximate Partial Matching Kernel from Hierarchical Growing Neural Gases. In: International Conference on Artificial Neural Networks. Springer; 2011.
Kortkamp, M., & Wachsmuth, S. (2011). View-tuned Approximate Partial Matching Kernel from Hierarchical Growing Neural Gases. International Conference on Artificial Neural Networks
Kortkamp, Marco, and Wachsmuth, Sven. 2011. “View-tuned Approximate Partial Matching Kernel from Hierarchical Growing Neural Gases”. In International Conference on Artificial Neural Networks. Springer.
Kortkamp, M., and Wachsmuth, S. (2011). “View-tuned Approximate Partial Matching Kernel from Hierarchical Growing Neural Gases” in International Conference on Artificial Neural Networks (Springer).
Kortkamp, M., & Wachsmuth, S., 2011. View-tuned Approximate Partial Matching Kernel from Hierarchical Growing Neural Gases. In International Conference on Artificial Neural Networks. Springer.
M. Kortkamp and S. Wachsmuth, “View-tuned Approximate Partial Matching Kernel from Hierarchical Growing Neural Gases”, International Conference on Artificial Neural Networks, Springer, 2011.
Kortkamp, M., Wachsmuth, S.: View-tuned Approximate Partial Matching Kernel from Hierarchical Growing Neural Gases. International Conference on Artificial Neural Networks. Springer (2011).
Kortkamp, Marco, and Wachsmuth, Sven. “View-tuned Approximate Partial Matching Kernel from Hierarchical Growing Neural Gases”. International Conference on Artificial Neural Networks. Springer, 2011.