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  Ranking on Data Manifolds

Zhou, D., Weston, J., Gretton, A., Bousquet, O., & Schölkopf, B.(2003). Ranking on Data Manifolds (113). Tübingen, Germany: Max Planck Institute for Biological Cybernetics.

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MPIK-TR-113.pdf (Publisher version), 787KB
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 Creators:
Zhou, D1, 2, Author              
Weston, J1, 2, Author              
Gretton, A1, 2, Author              
Bousquet, O1, 2, Author              
Schölkopf, B1, 2, Author              
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 Abstract: The Google search engine has had a huge success with its PageRank web page ranking algorithm, which exploits global, rather than local, hyperlink structure of the World Wide Web using random walk. This algorithm can only be used for graph data, however. Here we propose a simple universal ranking algorithm for vectorial data, based on the exploration of the intrinsic global geometric structure revealed by a huge amount of data. Experimental results from image and text to bioinformatics illustrates the validity of our algorithm.

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 Dates: 2003-06
 Publication Status: Published in print
 Pages: 8
 Publishing info: Tübingen, Germany : Max Planck Institute for Biological Cybernetics
 Table of Contents: -
 Rev. Type: -
 Identifiers: Report Nr.: 113
BibTex Citekey: 2290
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Title: Technical Report of the Max Planck Institute for Biological Cybernetics
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Pages: - Volume / Issue: 113 Sequence Number: - Start / End Page: - Identifier: -