An active learning approach to egeria densa detection in digital imagery

Huan Liu, Amit Mandvikar, Patricia G. Foschi

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Citation (Scopus)
Original languageEnglish (US)
Title of host publicationNext Generation of Data-Mining Applications
PublisherJohn Wiley and Sons Inc.
Pages189-210
Number of pages22
ISBN (Electronic)9780471696650
ISBN (Print)9780471656050
DOIs
StatePublished - Jan 1 2005

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learning
Problem-Based Learning

ASJC Scopus subject areas

  • Computer Science(all)
  • Engineering(all)
  • Social Sciences(all)

Cite this

Liu, H., Mandvikar, A., & Foschi, P. G. (2005). An active learning approach to egeria densa detection in digital imagery. In Next Generation of Data-Mining Applications (pp. 189-210). John Wiley and Sons Inc.. https://doi.org/10.1109/9780471696650

An active learning approach to egeria densa detection in digital imagery. / Liu, Huan; Mandvikar, Amit; Foschi, Patricia G.

Next Generation of Data-Mining Applications. John Wiley and Sons Inc., 2005. p. 189-210.

Research output: Chapter in Book/Report/Conference proceedingChapter

Liu, H, Mandvikar, A & Foschi, PG 2005, An active learning approach to egeria densa detection in digital imagery. in Next Generation of Data-Mining Applications. John Wiley and Sons Inc., pp. 189-210. https://doi.org/10.1109/9780471696650
Liu H, Mandvikar A, Foschi PG. An active learning approach to egeria densa detection in digital imagery. In Next Generation of Data-Mining Applications. John Wiley and Sons Inc. 2005. p. 189-210 https://doi.org/10.1109/9780471696650
Liu, Huan ; Mandvikar, Amit ; Foschi, Patricia G. / An active learning approach to egeria densa detection in digital imagery. Next Generation of Data-Mining Applications. John Wiley and Sons Inc., 2005. pp. 189-210
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