Metric learning for prototype based classification

Biehl M, Hammer B, Schneider P, Villmann T (2009)
In: Innovations in Neural Information – Paradigms and Applications. Bianchini M, Maggini M, Scarselli F (Eds); Studies in Computational Intelligence, 247. Berlin: Springer: 183-199.

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Sammelwerksbeitrag | Veröffentlicht | Englisch
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Innovations in Neural Information – Paradigms and Applications
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183-199
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Biehl M, Hammer B, Schneider P, Villmann T. Metric learning for prototype based classification. In: Bianchini M, Maggini M, Scarselli F, eds. Innovations in Neural Information – Paradigms and Applications. Studies in Computational Intelligence, 247. Berlin: Springer; 2009: 183-199.
Biehl, M., Hammer, B., Schneider, P., & Villmann, T. (2009). Metric learning for prototype based classification. In M. Bianchini, M. Maggini, & F. Scarselli (Eds.), Studies in Computational Intelligence, 247. Innovations in Neural Information – Paradigms and Applications (pp. 183-199). Berlin: Springer. doi:10.1007/978-3-642-04003-0_8
Biehl, M., Hammer, B., Schneider, P., and Villmann, T. (2009). “Metric learning for prototype based classification” in Innovations in Neural Information – Paradigms and Applications, Bianchini, M., Maggini, M., and Scarselli, F. eds. Studies in Computational Intelligence, 247 (Berlin: Springer), 183-199.
Biehl, M., et al., 2009. Metric learning for prototype based classification. In M. Bianchini, M. Maggini, & F. Scarselli, eds. Innovations in Neural Information – Paradigms and Applications. Studies in Computational Intelligence, 247. Berlin: Springer, pp. 183-199.
M. Biehl, et al., “Metric learning for prototype based classification”, Innovations in Neural Information – Paradigms and Applications, M. Bianchini, M. Maggini, and F. Scarselli, eds., Studies in Computational Intelligence, 247, Berlin: Springer, 2009, pp.183-199.
Biehl, M., Hammer, B., Schneider, P., Villmann, T.: Metric learning for prototype based classification. In: Bianchini, M., Maggini, M., and Scarselli, F. (eds.) Innovations in Neural Information – Paradigms and Applications. Studies in Computational Intelligence, 247. p. 183-199. Springer, Berlin (2009).
Biehl, M., Hammer, Barbara, Schneider, P., and Villmann, T. “Metric learning for prototype based classification”. Innovations in Neural Information – Paradigms and Applications. Ed. M. Bianchini, M. Maggini, and F. Scarselli. Berlin: Springer, 2009. Studies in Computational Intelligence, 247. 183-199.

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