Dimension Reduction A Guided Tour

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Dimension Reduction: A Guided Tour

https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/FnT_dimensionReduction.pdf

Dimension Reduction: A Guided Tour Christopher J. C. Burges Microsoft Research, One Microsoft Way, Redmond, WA 98052-6399, USA, [email protected] Abstract We give a tutorial overview of several foundational methods for dimen-sion reduction. We divide the methods into projective methods and methods that model the manifold on which the ...Cited by: 251

(PDF) Dimension Reduction: A Guided Tour

https://www.researchgate.net/publication/220416606_Dimension_Reduction_A_Guided_Tour

Dimension Reduction: A Guided Tour Article (PDF Available) in Foundations and Trends® in Machine Learning 2(4) · January 2010 with 1,727 Reads How we measure 'reads'

Dimension reduction : a guided tour (eBook, 2010 ...

https://www.worldcat.org/title/dimension-reduction-a-guided-tour/oclc/778882244

Get this from a library! Dimension reduction : a guided tour. [Christopher J C Burges] -- We give a tutorial overview of several foundational methods for dimension reduction. We divide the methods into projective methods and methods that model the manifold on which the data lies. For ...

DRAFT

https://www.seas.harvard.edu/courses/cs281/papers/burges-2009.pdf

Dimension Reduction: A Guided TourDRAFT Christopher J.C. Burges1 1 Microsoft Research, One Microsoft Way, Redmond, WA 98052-6399, USA. MSR Tech Report MSR-TR-2009-2013 Abstract We give a tutorial overview of several geometric methods for dimension

CiteSeerX — Dimension Reduction: A Guided Tour

http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.180.861

guided tour xxxxxx dimension reduction projective method projection pursuit manifold method laplacian eigenmaps correlation dimension canonical correlation analysis principal component analysis fisher discriminant analysis intrinsic dimension modern technique tutorial overview scale-dependent quantity linear embedding sufficient dimension ...

now publishers - Dimension Reduction: A Guided Tour

http://www.nowpublishers.com/article/Details/MAL-002

Dimension Reduction: A Guided Tour covers many well-known, and some less well-known, methods for dimension reduction for which the inferred variables are continuous. It describes the mathematics and key ideas underlying the methods, and provides some links to the literature for those interested in pursuing a topic further.

CiteSeerX — Dimension Reduction: A Guided Tour

http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.187.1006

BibTeX @MISC{Burges09dimensionreduction:, author = {Christopher J. C. Burges}, title = {Dimension Reduction: A Guided Tour}, year = {2009}}

Dimension Reduction: A Guided Tour - Microsoft Research

https://www.microsoft.com/en-us/research/publication/dimension-reduction-a-guided-tour-2/

Dimension Reduction: A Guided Tour. Chris J.C. Burges; Foundations and Trends in Machine Learning January 2010. View Publication. Download BibTex. We give a tutorial overview of several foundational methods for dimension reduction. We divide the methods into projective methods and methods that model the manifold on which the data lies. For ...Cited by: 251

Dimension Reduction: A Guided Tour - Now Publishers

http://www.nowpublishers.com/article/DownloadSummary/MAL-002

Dimension Reduction: A Guided Tour Christopher J. C. Burges Microsoft Research, One Microsoft Way, Redmond, WA 98052-6399, USA, [email protected] Abstract We give a tutorial overview of several foundational methods for dimen-sion reduction. We divide the methods into projective methods and methods that model the manifold on which the ...

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