Back to Results
First PageMeta Content
Matrix theory / Singular value decomposition / Multivariate statistics / Eigenvalues and eigenvectors / Graph partition / Generalized eigenvector / Dimension reduction / Matrix / Eigendecomposition of a matrix / Algebra / Mathematics / Linear algebra


Semi-supervised Eigenvectors for Locally-biased Learning Michael W. Mahoney Department of Mathematics Stanford University
Add to Reading List

Document Date: 2013-02-21 23:42:47

Open Document

File Size: 4,76 MB

Share Result on Facebook

City

Laplacian / /

Company

Neural Information Processing Systems / LG / Cambridge University Press / MIT Press / /

Country

United States / United Kingdom / /

/

Event

Product Issues / Product Recall / /

Facility

Cognitive Systems DTU Informatics Technical University / /

IndustryTerm

advertising applications / Nearly-linear time algorithms / data analysis tools / binary search / web search / computing / downstream classification algorithm / functional magnetic resonance imaging applications / context-sensitive ranking algorithm / computer vision applications / linear systems / face detection algorithm / /

Organization

Technical University of Denmark / Cambridge University / Learning Michael W. Mahoney Department / MIT / Stanford University Stanford / /

Person

Stanford InfoLab / Michael W. Mahoney / /

/

Position

editor / /

Product

Program / /

ProgrammingLanguage

L / OCAL / /

PublishedMedium

Machine Learning / Theory of Computing / /

Technology

main algorithm / face detection algorithm / downstream classification algorithm / magnetic resonance imaging / Nearly-linear time algorithms / machine learning / /

SocialTag