[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. ... Related articles - All 5 versions
M Weinstein, A Auerbach… - 2011 - adsabs.harvard.edu Title: Reducing Memory Cost of Exact Diagonalization using SingularValue Decomposition. ... At each iteration the Lanczos vector is projected into a set of $n_{{\rm svd}}$ smaller subcluster vectors using singularvaluedecomposition. ... Related articles - All 3 versions
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 ... Related articles - All 3 versions
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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