Skip to main content
Springer Nature Link
Log in

Generalized Locally Nearest Neighbor Classifiers for Object Classification

  • Conference paper
Fuzzy Systems and Knowledge Discovery (FSKD 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3614))

Included in the following conference series:

  • 1378 Accesses

Abstract

In this paper, we extend the locally nearest neighbor classifiers to tackle the nonlinear classification problems via the kernel trick. The better performance is confirmed by the handwritten zip code digits classification experiments on the US Postal Service (USPS) database.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Schölkopf, B., Smola, A.J., Müller, K.-R.: Nonlinear Component Analysis as a Kernel Eigenvalue Problem. In: Neural Computation, vol. 10, pp. 1299–1319. MIT Press, Cambridge (1998)

    Google Scholar 

  2. Roweis, S.T., Saul, L.K.: Nonlinear dimensionality reduction by locally linear embedding. Science 290, 2323–2326 (2000)

    Article  Google Scholar 

  3. Cover, T.M., Hart, P.E.: Nearest Neighbor Pattern Classification. IEEE Transaction On Information Theory 13, 21–27 (1967)

    Article  MATH  Google Scholar 

  4. Vapnik, V.N.: The Nature of Statistical Learning Theory. Springer, Heidelberg (1995)

    MATH  Google Scholar 

  5. Zheng, W., Zhao, L., Zou, C.: Locally nearest neighbor classifiers for pattern classification. Pattern Recognition 37, 1307–1309 (2004)

    Article  MATH  Google Scholar 

  6. Schölkopf, B., Burges, C., Vapnik, V.: Extracting support data for a given task. In: Fayyad, U.M., Uthurusamy, R. (eds.) Proceedings, First Intl. Conference on Knowledge Discovery and Data Mining, AAAI Press, Menlo Park

    Google Scholar 

  7. Le Cun, Y., Boser, B., Denker, J.S., Henderson, D., Howard, R.E., Hubbard, W., Jackel, L.J.: Backpropagation applied to handwritten zip code recognition. In: Neural Computation, vol. 1, pp. 541–551. MIT Press, Cambridge (1989)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Research Center for Science of Learning, Southeast University, Nanjing, Jiangsu, 210096, China

    Wenming Zheng

  2. Engineering Research Center of Information Processing and Application, Southeast University, Nanjing, Jiangsu, 210096, China

    Cairong Zou & Li Zhao

Authors
  1. Wenming Zheng
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Cairong Zou
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Li Zhao
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. School of Electrical and Electronic Engineering, Nanyang Technological University, Block S1, Nanyang Avenue, 639798, Singapore

    Lipo Wang

  2. Honda Research Institute Europe GmbH, Offenbach/Main, Germany

    Yaochu Jin

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Zheng, W., Zou, C., Zhao, L. (2005). Generalized Locally Nearest Neighbor Classifiers for Object Classification. In: Wang, L., Jin, Y. (eds) Fuzzy Systems and Knowledge Discovery. FSKD 2005. Lecture Notes in Computer Science(), vol 3614. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11540007_13

Download citation

  • DOI: https://doi.org/10.1007/11540007_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28331-7

  • Online ISBN: 978-3-540-31828-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics