Local Rejection Strategies for Learning Vector Quantization

Fischer L, Hammer B, Wersing H (2014)
In: Artificial Neural Networks and Machine Learning – ICANN 2014. Wermter S, Weber C, Duch W, Honkela T, Koprinkova-Hristova P, Magg S, Palm G, Villa AEP (Eds); Lecture Notes in Computer Science, 8681. Cham: Springer International Publishing: 563-570.

Konferenzbeitrag | Veröffentlicht | Englisch
 
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Autor*in
Herausgeber*in
Wermter, Stefan; Weber, Cornelius; Duch, Włodzisław; Honkela, Timo; Koprinkova-Hristova, Petia; Magg, Sven; Palm, Günther; Villa, Alessandro E. P.
Erscheinungsjahr
2014
Titel des Konferenzbandes
Artificial Neural Networks and Machine Learning – ICANN 2014
Band
8681
Seite(n)
563-570
ISBN
978-3-319-11178-0
ISSN
0302-9743
Page URI
https://pub.uni-bielefeld.de/record/2774498

Zitieren

Fischer L, Hammer B, Wersing H. Local Rejection Strategies for Learning Vector Quantization. In: Wermter S, Weber C, Duch W, et al., eds. Artificial Neural Networks and Machine Learning – ICANN 2014. Lecture Notes in Computer Science. Vol 8681. Cham: Springer International Publishing; 2014: 563-570.
Fischer, L., Hammer, B., & Wersing, H. (2014). Local Rejection Strategies for Learning Vector Quantization. In S. Wermter, C. Weber, W. Duch, T. Honkela, P. Koprinkova-Hristova, S. Magg, G. Palm, et al. (Eds.), Lecture Notes in Computer Science: Vol. 8681. Artificial Neural Networks and Machine Learning – ICANN 2014 (pp. 563-570). Cham: Springer International Publishing. doi:10.1007/978-3-319-11179-7_71
Fischer, L., Hammer, B., and Wersing, H. (2014). “Local Rejection Strategies for Learning Vector Quantization” in Artificial Neural Networks and Machine Learning – ICANN 2014, Wermter, S., Weber, C., Duch, W., Honkela, T., Koprinkova-Hristova, P., Magg, S., Palm, G., and Villa, A. E. P. eds. Lecture Notes in Computer Science, vol. 8681, (Cham: Springer International Publishing), 563-570.
Fischer, L., Hammer, B., & Wersing, H., 2014. Local Rejection Strategies for Learning Vector Quantization. In S. Wermter, et al., eds. Artificial Neural Networks and Machine Learning – ICANN 2014. Lecture Notes in Computer Science. no.8681 Cham: Springer International Publishing, pp. 563-570.
L. Fischer, B. Hammer, and H. Wersing, “Local Rejection Strategies for Learning Vector Quantization”, Artificial Neural Networks and Machine Learning – ICANN 2014, S. Wermter, et al., eds., Lecture Notes in Computer Science, vol. 8681, Cham: Springer International Publishing, 2014, pp.563-570.
Fischer, L., Hammer, B., Wersing, H.: Local Rejection Strategies for Learning Vector Quantization. In: Wermter, S., Weber, C., Duch, W., Honkela, T., Koprinkova-Hristova, P., Magg, S., Palm, G., and Villa, A.E.P. (eds.) Artificial Neural Networks and Machine Learning – ICANN 2014. Lecture Notes in Computer Science. 8681, p. 563-570. Springer International Publishing, Cham (2014).
Fischer, Lydia, Hammer, Barbara, and Wersing, Heiko. “Local Rejection Strategies for Learning Vector Quantization”. Artificial Neural Networks and Machine Learning – ICANN 2014. Ed. Stefan Wermter, Cornelius Weber, Włodzisław Duch, Timo Honkela, Petia Koprinkova-Hristova, Sven Magg, Günther Palm, and Alessandro E. P. Villa. Cham: Springer International Publishing, 2014.Vol. 8681. Lecture Notes in Computer Science. 563-570.

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