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AP-Based Borda Voting Method for Feature Extraction in TRECVID-2004

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Advances in Information Retrieval (ECIR 2005)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3408))

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Abstract

We present a novel fusion method — AP-based Borda voting method (APBB)— for rankings. Due to its adaptive weighting scheme, APBB outperforms many traditional methods. Comparative experiments on TRECVID 2004 data were carried out and showed the robustness and effectiveness of this method.

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References

  1. Van Erp, M., Schomaker, L.: Variants of the borda count method for combining ranked classifier hypotheses. In: Proceedings of IWFHR7, the seventh International Workshop on Frontiers in Handwriting Recognition, Amsterdam, The Netherlands, pp. 443–452 (2000)

    Google Scholar 

  2. Ho, T.K., Hull, J.J., Srihari, S.N.: On multiple classifier systems for pattern recognition. In: Proc. of the 11th Int’l Conference on Pattern Recognition, The Hague, The Netherlands, pp. 84–87 (1992)

    Google Scholar 

  3. Aslam, J.A., Montague, M.H.: Models for metasearch. In: SIGIR, pp. 275–284 (2001)

    Google Scholar 

  4. NIST: The home page of trec video retrieval track (2004), http://www-nlpir.nist.gov/projects/trecvid/

  5. NIST: Common evaluation measures. appendix in Special Publication TREC 2001, NIST, Gaithersburg, MD 22, 500–250 (2001), http://trec.nist.gov/pubs/trec10/appendices/measures.pdf

  6. Melnik, O., Vardi, Y., Zhang, C.H.: Mixed group ranks: Preference and confidence in classifier combination. Ieee Transactions on Pattern Analysis and Machine Intelligence 26(8), 973–981 (2004)

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Computer Science and Technology, Tsinghua University, Beijing, 100084, P.R. China

    Le Chen, Dayong Ding, Dong Wang, Fuzong Lin & Bo Zhang

Authors
  1. Le Chen
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  2. Dayong Ding
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  3. Dong Wang
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  4. Fuzong Lin
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  5. Bo Zhang
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Editor information

Editors and Affiliations

  1. Departamento de Electrónica y Computación, Universidad de Santiago de Compostela, Spain

    David E. Losada

  2. Departamento de Ciencias de la Computación e Inteligencia Artificial E.T.S.I. Informática y de Telecomunicación, Universidad de Granada, 18071, Granada, Spain

    Juan M. Fernández-Luna

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© 2005 Springer-Verlag Berlin Heidelberg

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Chen, L., Ding, D., Wang, D., Lin, F., Zhang, B. (2005). AP-Based Borda Voting Method for Feature Extraction in TRECVID-2004. In: Losada, D.E., Fernández-Luna, J.M. (eds) Advances in Information Retrieval. ECIR 2005. Lecture Notes in Computer Science, vol 3408. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-31865-1_53

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  • DOI: https://doi.org/10.1007/978-3-540-31865-1_53

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25295-5

  • Online ISBN: 978-3-540-31865-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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