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          Institute: MPI für biologische Kybernetik     Collection: Biologische Kybernetik     Display Documents



ID: 232574.0, MPI für biologische Kybernetik / Biologische Kybernetik
Ranking on Data Manifolds
Authors:Zhou, D.; Weston, J.; Gretton, A.; Bousquet, O.; Schölkopf, B.
Editors:Thrun, S.; Saul, L.; Schölkopf, B.
Date of Publication (YYYY-MM-DD):2004
Title of Proceedings:Advances in Neural Information Processing Systems
Start Page:169
End Page:176
Physical Description:8
Audience:Not Specified
Intended Educational Use:No
Abstract / Description:The Google search engine has enjoyed a huge success with its web
page ranking algorithm, which exploits global, rather than local,
hyperlink structure of the web using random walks. Here we propose
a simple universal ranking algorithm for data lying in the
Euclidean space, such as text or image data. The core idea of our
method is to rank the data with respect to the intrinsic manifold structure collectively revealed by a great amount of data.
Encouraging experimental results from synthetic, image, and text
data illustrate the validity of our method.
External Publication Status:published
Document Type:Conference-Paper
Communicated by:Holger Fischer
Affiliations:MPI für biologische Kybernetik/Empirical Inference (Dept. Schölkopf)
Identifiers:LOCALID:2334
URL:http://moonranker.kyb.tuebingen.mpg.de
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