Advertisement

Design of Hierarchical Classifier with Hybrid Architectures

  • M. N. S. S. K. Pavan Kumar
  • C. V. Jawahar
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3776)

Abstract

Performance of hierarchical classifiers depends on two aspects – the performance of the individual classifiers, and the design of the architecture. In this paper, we present a scheme for designing hybrid hierarchical classifiers under user specified constraints on time and space.

References

  1. 1.
    Platt, J.C., Cristianini, N., Shawe-Taylor, J.: Large margin DAGs for multi-class classification. In: Advances in NIPS-12, pp. 547–553 (2000)Google Scholar
  2. 2.
    Kumar, S., Ghosh, J., Crawford, M.: A hierarchical multiclassifier system for hyperspectral data analysis. In: Kittler, J., Roli, F. (eds.) MCS 2000. LNCS, vol. 1857, pp. 270–278. Springer, Heidelberg (2000)CrossRefGoogle Scholar
  3. 3.
    Pavan Kumar, M.N.S.S.K., Jawahar, C.V.: On improving design of multiclass clasifiers. In: Proceedings of the 5th International Conference on Advances in Pattern Recognition, pp. 109–112 (2003)Google Scholar
  4. 4.
    Dong, M., Li, Y., Kothari, R.: Theoretical results on a measure of classification complexity. In: Proceedings of 5th International Conference on Advances in Pattern Recognition, pp. 85–88 (2003)Google Scholar
  5. 5.
    Hettich, S., Blake, C., Merz, C.: UCI repository of machine learning databases (1998), http://www.ics.uci.edu/~mlearn/MLRepository.html

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • M. N. S. S. K. Pavan Kumar
    • 1
  • C. V. Jawahar
    • 1
  1. 1.Centre for Visual Information TechnologyInternational Institute of Information TechnologyHyderabadIndia

Personalised recommendations