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Matrix theory / Functional analysis / Operator theory / Numerical linear algebra / Singular value decomposition / Matrix norm / Projection / Trace / Rank / Algebra / Mathematics / Linear algebra


Rank/Norm Regularization with Closed-Form Solutions: Application to Subspace Clustering Yao-Liang Yu Department of Computing Science University of Alberta
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Document Date: 2011-08-15 14:30:00


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File Size: 443,12 KB

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City

Arnold / /

Company

Lee D. D. / SIAM Journal / Computing Science University of Alberta Edmonton AB / /

Country

Canada / /

IndustryTerm

low rank subspace clustering algorithm / motion segmentation algorithms / inner product / norm solution / feasible solution / closed-form solutions / closedform solution / similar thresholding algorithms / closed-form solution / singular value thresholding algorithm / approximate solutions / /

Organization

Computing Science University of Alberta Edmonton / Cambridge Philosophical Society / Pattern Analysis and Machine Intelligence / /

Person

Lee / Liang Yu / Dale Schuurmans / C UC / Seung / /

Position

Marshall / /

Product

Pentax K-x Digital Camera / Corollary 1 / /

ProvinceOrState

British Columbia / /

PublishedMedium

IEEE Transactions on Pattern Analysis and Machine Intelligence / Machine Learning / /

Technology

singular value thresholding algorithm / AV / SVD thresholding algorithm / similar thresholding algorithms / 3-d motion segmentation algorithms / low rank subspace clustering algorithm / Data Mining / proposed algorithms / Machine Learning / /

URL

http /

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