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Differential topology / Topological graph theory / Dimension reduction / Computational statistics / Nonlinear dimensionality reduction / Manifold alignment / Graph embedding / Embedding / Manifold / Mathematics / Topology / Graph theory


Document Date: 2006-09-10 19:39:55


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File Size: 1,36 MB

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City

Cambridge / New York / /

Company

J. Ham D. D. / Neural Information Processing Systems / MIT Press / ACM Press / /

Facility

University of Pennsylvania / /

IndustryTerm

unsupervised manifold learning algorithm / manifold learning algorithms / linear solution / graph algorithm / graph embedding algorithm / computing / electrical networks / unsupervised learning algorithms / learning algorithms / /

Organization

Defense Advanced Research Projects Agency / National Academy of Science / Institute for Computer Applications / Lawrence K. Saul Department of Computer and Information Science / MIT / U.S. National Science Foundation / Army Reserach Office / University of Pennsylvania / Philadelphia / National Aeronautics and Space Administration / Daniel D. Lee Department of Electrical and Systems Engineering / Jihun Ham Department of Electrical and Systems Engineering / /

Person

Lawrence K. Saul / J. Tenenbaum / V / /

Position

head / /

ProgrammingLanguage

L / /

ProvinceOrState

Pennsylvania / New York / Massachusetts / /

PublishedMedium

Machine Learning / Journal of Machine Learning Research / /

Technology

graph algorithm / graph embedding algorithm / unsupervised manifold learning algorithm / Data Mining / manifold learning algorithms / Machine Learning / unsupervised learning algorithms / second algorithm / /

URL

http /

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