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Indexing multi-visual features in image database

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Advances in Databases (BNCOD 1997)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1271))

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References

  1. Fahlman, S. E. An empirical study of learning speed for Back-propagation networks. Technical report CMU-CS 88-162, Carnegie-Mellon University.

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  2. Sellis, T.; Roussopoulos, N.; and Faloutsos, C. The R+-tree: a dynamic index for multimensional objects. Proc. VLDB, Brighton. 1987.

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Authors and Affiliations

  1. School of Computer Science & Engineering, University of New South Wales, 2052, Sydney, NSW, Australia

    Rong Lei, Anne H. H Ngu & Jesse J. Jin

Authors
  1. Rong Lei
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  2. Anne H. H Ngu
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  3. Jesse J. Jin
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Editor information

Carol Small Paul Douglas Roger Johnson Peter King Nigel Martin

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© 1997 Springer-Verlag Berlin Heidelberg

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Lei, R., Ngu, A.H.H., Jin, J.J. (1997). Indexing multi-visual features in image database. In: Small, C., Douglas, P., Johnson, R., King, P., Martin, N. (eds) Advances in Databases. BNCOD 1997. Lecture Notes in Computer Science, vol 1271. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63263-8_12

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  • DOI: https://doi.org/10.1007/3-540-63263-8_12

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63263-4

  • Online ISBN: 978-3-540-69254-6

  • eBook Packages: Springer Book Archive

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