@techreport{2290,
  title = {Ranking on Data Manifolds},
  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.},
  number = {113},
  organization = {Max-Planck-Gesellschaft},
  institution = {Max Planck Institute for Biological Cybernetics, 72076 Tuebingen, Germany},
  school = {Biologische Kybernetik},
  month = jun,
  year = {2003},
  author = {Zhou, D. and Weston, J. and Gretton, A. and Bousquet, O. and Sch{\"o}lkopf, B.},
  month_numeric = {6}
}