How to Quantitatively Compare Data Dissimilarities for Unsupervised Machine Learning?

Mokbel, Bassam; Gross, Sebastian; Lux, Markus; Pinkwart, Niels; Hammer, Barbara

How to Quantitatively Compare Data Dissimilarities for Unsupervised Machine Learning?

Mokbel B, Gross S, Lux M, Pinkwart N, Hammer B (2012)
In: Artificial Neural Networks in Pattern Recognition. 5th INNS IAPR TC 3 GIRPR Workshop, ANNPR 2012. Proceedings. Mana N, Schwenker F, Trentin E (Eds); Lecture Notes in Artificial Intelligence, 7477. Springer Berlin Heidelberg: 1-13.

Konferenzbeitrag | Veröffentlicht | Englisch

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2536426__2_.pdf

DOI

https://doi.org/10.1007/978-3-642-33212-8_1

URN

urn:nbn:de:0070-pub-25364263

Autor*in

Mokbel, Bassam^UniBi; Gross, Sebastian; Lux, Markus^UniBi; Pinkwart, Niels; Hammer, Barbara^UniBi

Herausgeber*in

Mana, Nadia; Schwenker, Friedhelm; Trentin, Edmondo

Einrichtung

Technische Fakultät > AG Machine Learning
Center of Excellence - Cognitive Interaction Technology CITEC
Technische Fakultät > Int. Graduiertenkolleg DiDy (GRK 1906)

Erscheinungsjahr

2012

Titel des Konferenzbandes

Artificial Neural Networks in Pattern Recognition. 5th INNS IAPR TC 3 GIRPR Workshop, ANNPR 2012. Proceedings

Serien- oder Zeitschriftentitel

Lecture Notes in Artificial Intelligence

Band

7477

Seite(n)

1-13

Konferenz

5th INNS IAPR TC 3 GIRPR Workshop, ANNPR 2012

Konferenzort

Trento, Italy

Konferenzdatum

2012-09-17 – 2012-09-19

ISBN

978-3-642-33211-1

eISBN

978-3-642-33212-8

Page URI

https://pub.uni-bielefeld.de/record/2536426

Zitieren

Mokbel B, Gross S, Lux M, Pinkwart N, Hammer B. How to Quantitatively Compare Data Dissimilarities for Unsupervised Machine Learning? In: Mana N, Schwenker F, Trentin E, eds. Artificial Neural Networks in Pattern Recognition. 5th INNS IAPR TC 3 GIRPR Workshop, ANNPR 2012. Proceedings. Lecture Notes in Artificial Intelligence. Vol 7477. Springer Berlin Heidelberg; 2012: 1-13.

Mokbel, B., Gross, S., Lux, M., Pinkwart, N., & Hammer, B. (2012). How to Quantitatively Compare Data Dissimilarities for Unsupervised Machine Learning? In N. Mana, F. Schwenker, & E. Trentin (Eds.), Lecture Notes in Artificial Intelligence: Vol. 7477. Artificial Neural Networks in Pattern Recognition. 5th INNS IAPR TC 3 GIRPR Workshop, ANNPR 2012. Proceedings (pp. 1-13). Springer Berlin Heidelberg. doi:10.1007/978-3-642-33212-8_1

Mokbel, Bassam, Gross, Sebastian, Lux, Markus, Pinkwart, Niels, and Hammer, Barbara. 2012. “How to Quantitatively Compare Data Dissimilarities for Unsupervised Machine Learning?”. In Artificial Neural Networks in Pattern Recognition. 5th INNS IAPR TC 3 GIRPR Workshop, ANNPR 2012. Proceedings, ed. Nadia Mana, Friedhelm Schwenker, and Edmondo Trentin, 7477:1-13. Lecture Notes in Artificial Intelligence. Springer Berlin Heidelberg.

Mokbel, B., Gross, S., Lux, M., Pinkwart, N., and Hammer, B. (2012). “How to Quantitatively Compare Data Dissimilarities for Unsupervised Machine Learning?” in Artificial Neural Networks in Pattern Recognition. 5th INNS IAPR TC 3 GIRPR Workshop, ANNPR 2012. Proceedings, Mana, N., Schwenker, F., and Trentin, E. eds. Lecture Notes in Artificial Intelligence, vol. 7477, (Springer Berlin Heidelberg), 1-13.

Mokbel, B., et al., 2012. How to Quantitatively Compare Data Dissimilarities for Unsupervised Machine Learning? In N. Mana, F. Schwenker, & E. Trentin, eds. Artificial Neural Networks in Pattern Recognition. 5th INNS IAPR TC 3 GIRPR Workshop, ANNPR 2012. Proceedings. Lecture Notes in Artificial Intelligence. no.7477 Springer Berlin Heidelberg, pp. 1-13.

B. Mokbel, et al., “How to Quantitatively Compare Data Dissimilarities for Unsupervised Machine Learning?”, Artificial Neural Networks in Pattern Recognition. 5th INNS IAPR TC 3 GIRPR Workshop, ANNPR 2012. Proceedings, N. Mana, F. Schwenker, and E. Trentin, eds., Lecture Notes in Artificial Intelligence, vol. 7477, Springer Berlin Heidelberg, 2012, pp.1-13.

Mokbel, B., Gross, S., Lux, M., Pinkwart, N., Hammer, B.: How to Quantitatively Compare Data Dissimilarities for Unsupervised Machine Learning? In: Mana, N., Schwenker, F., and Trentin, E. (eds.) Artificial Neural Networks in Pattern Recognition. 5th INNS IAPR TC 3 GIRPR Workshop, ANNPR 2012. Proceedings. Lecture Notes in Artificial Intelligence. 7477, p. 1-13. Springer Berlin Heidelberg (2012).

Mokbel, Bassam, Gross, Sebastian, Lux, Markus, Pinkwart, Niels, and Hammer, Barbara. “How to Quantitatively Compare Data Dissimilarities for Unsupervised Machine Learning?”. Artificial Neural Networks in Pattern Recognition. 5th INNS IAPR TC 3 GIRPR Workshop, ANNPR 2012. Proceedings. Ed. Nadia Mana, Friedhelm Schwenker, and Edmondo Trentin. Springer Berlin Heidelberg, 2012.Vol. 7477. Lecture Notes in Artificial Intelligence. 1-13.

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