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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: -