User:Jarle Pahr/SVD: Difference between revisions
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Notes on Singular Value Decomposition (SVD): | Notes on Singular Value Decomposition (SVD): | ||
Any mxn matrix A can be factored as: | |||
<math>A = U\sum {V^T}</math> | |||
http://en.wikipedia.org/wiki/Singular_value_decomposition | http://en.wikipedia.org/wiki/Singular_value_decomposition | ||
Revision as of 10:16, 13 February 2014
Notes on Singular Value Decomposition (SVD):
Any mxn matrix A can be factored as:
[math]\displaystyle{ A = U\sum {V^T} }[/math]
http://en.wikipedia.org/wiki/Singular_value_decomposition
http://www.uwlax.edu/faculty/will/svd/
math.stackexchange.com/questions/261801/how-can-you-explain-the-singular-value-decomposition-to-non-specialists
http://www.ams.org/samplings/feature-column/fcarc-svd
http://campar.in.tum.de/twiki/pub/Chair/TeachingWs05ComputerVision/3DCV_svd_000.pdf
http://langvillea.people.cofc.edu/DISSECTION-LAB/Emmie%27sLSI-SVDModule/p4module.html
