A Controlling Strategy for an Active Vision System Based on Auditory and Visual Cues

Grahl M, Joublin F, Kummert F (2010)
In: International Conference on Artificial Neural Networks. Thessaloniki, Greece: Springer.

Konferenzbeitrag | Veröffentlicht | Englisch
 
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Erscheinungsjahr
2010
Titel des Konferenzbandes
International Conference on Artificial Neural Networks
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https://pub.uni-bielefeld.de/record/2034644

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Grahl M, Joublin F, Kummert F. A Controlling Strategy for an Active Vision System Based on Auditory and Visual Cues. In: International Conference on Artificial Neural Networks. Thessaloniki, Greece: Springer; 2010.
Grahl, M., Joublin, F., & Kummert, F. (2010). A Controlling Strategy for an Active Vision System Based on Auditory and Visual Cues. International Conference on Artificial Neural Networks Thessaloniki, Greece: Springer.
Grahl, Miranda, Joublin, Frank, and Kummert, Franz. 2010. “A Controlling Strategy for an Active Vision System Based on Auditory and Visual Cues”. In International Conference on Artificial Neural Networks. Thessaloniki, Greece: Springer.
Grahl, M., Joublin, F., and Kummert, F. (2010). “A Controlling Strategy for an Active Vision System Based on Auditory and Visual Cues” in International Conference on Artificial Neural Networks (Thessaloniki, Greece: Springer).
Grahl, M., Joublin, F., & Kummert, F., 2010. A Controlling Strategy for an Active Vision System Based on Auditory and Visual Cues. In International Conference on Artificial Neural Networks. Thessaloniki, Greece: Springer.
M. Grahl, F. Joublin, and F. Kummert, “A Controlling Strategy for an Active Vision System Based on Auditory and Visual Cues”, International Conference on Artificial Neural Networks, Thessaloniki, Greece: Springer, 2010.
Grahl, M., Joublin, F., Kummert, F.: A Controlling Strategy for an Active Vision System Based on Auditory and Visual Cues. International Conference on Artificial Neural Networks. Springer, Thessaloniki, Greece (2010).
Grahl, Miranda, Joublin, Frank, and Kummert, Franz. “A Controlling Strategy for an Active Vision System Based on Auditory and Visual Cues”. International Conference on Artificial Neural Networks. Thessaloniki, Greece: Springer, 2010.
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