Unsupervised structure discovery for biodiversity information

Hong Cui, Richard M. McCourt, Monique Feist

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish (US)
Title of host publicationProceedings of the ACM/IEEE Joint Conference on Digital Libraries
Pages382
Number of pages1
Volume2006
DOIs
StatePublished - 2006
Externally publishedYes
Event6th ACM/IEEE-CS Joint Conference on Digital Libraries 2006: Opening Information Horizons, JCDL '06 - Chapel Hill, NC, United States
Duration: Jun 11 2006Jun 15 2006

Other

Other6th ACM/IEEE-CS Joint Conference on Digital Libraries 2006: Opening Information Horizons, JCDL '06
CountryUnited States
CityChapel Hill, NC
Period6/11/066/15/06

Keywords

  • Document structure
  • Unsupervised machine learning

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Cui, H., McCourt, R. M., & Feist, M. (2006). Unsupervised structure discovery for biodiversity information. In Proceedings of the ACM/IEEE Joint Conference on Digital Libraries (Vol. 2006, pp. 382) https://doi.org/10.1145/1141753.1141878

Unsupervised structure discovery for biodiversity information. / Cui, Hong; McCourt, Richard M.; Feist, Monique.

Proceedings of the ACM/IEEE Joint Conference on Digital Libraries. Vol. 2006 2006. p. 382.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Cui, H, McCourt, RM & Feist, M 2006, Unsupervised structure discovery for biodiversity information. in Proceedings of the ACM/IEEE Joint Conference on Digital Libraries. vol. 2006, pp. 382, 6th ACM/IEEE-CS Joint Conference on Digital Libraries 2006: Opening Information Horizons, JCDL '06, Chapel Hill, NC, United States, 6/11/06. https://doi.org/10.1145/1141753.1141878
Cui H, McCourt RM, Feist M. Unsupervised structure discovery for biodiversity information. In Proceedings of the ACM/IEEE Joint Conference on Digital Libraries. Vol. 2006. 2006. p. 382 https://doi.org/10.1145/1141753.1141878
Cui, Hong ; McCourt, Richard M. ; Feist, Monique. / Unsupervised structure discovery for biodiversity information. Proceedings of the ACM/IEEE Joint Conference on Digital Libraries. Vol. 2006 2006. pp. 382
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