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[PDF] from archives-ouvertes.frM Congedo, R Phlypo… - Signal Processing, IEEE …, 2011 - ieeexplore.ieee.org
Copyright (c) 2010 IEEE. Personal use is permitted. For any other purposes, Permission must
be obtained from the IEEE by emailing pubs-permissions@ieee.org. ... This article has been
accepted for publication in a future issue of this journal, but has not been fully edited. ...
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M Weinstein, A Auerbach… - 2011 - adsabs.harvard.edu
Title: Reducing Memory Cost of Exact Diagonalization using Singular Value
Decomposition. ... At each iteration the Lanczos vector is projected into a set of $n_{{\rm
svd}}$ smaller subcluster vectors using singular value decomposition. ...
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AK Menon… - … on Knowledge Discovery from Data (TKDD), 2011 - portal.acm.org
A low-rank approximation to a matrix A is a matrix with significantly smaller rank than A, and which
is close to A according to some norm. Many practical applications involving the use of large matrices
focus on low-rank approximations. By reducing the rank or dimensionality of the data, we ...
Cited by 1 - Related articles
[PDF] from biomedcentral.comX Xiao, N Dawson, L MacIntyre… - BMC Systems …, 2011 - biomedcentral.com
Xiaolin Xiao (xiaolin.xiao@strath.ac.uk) Neil Dawson (N.Dawson@bio.gla.ac.uk) Lynsey MacIntyre
(lynsey.macintyre@strath.ac.uk) Brian J Morris (b.morris@bio.gla.ac.uk) Judith A Pratt
(japratt@strath.ac.uk) David G Watson (DGWatson@strath.ac.uk) Desmond J Higham ...
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M Sill, S Kaiser, A Benner… - Bioinformatics, 2011 - Oxford Univ Press
ABSTRACT Motivation: Over the past decade several biclustering approaches have been published
in the field of gene expression data analysis. Despite of huge diversity regarding the mathematical
concepts of the different biclustering methods, many of them can be related to the singular ...
Cited by 1 - Related articles - All 2 versions

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