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» Weighted Low-Rank Approximations
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PARA
2004
Springer
14 years 1 months ago
A Model-Order Reduction Technique for Low Rank Rational Perturbations of Linear Eigenproblems
Large and sparse rational eigenproblems where the rational term is of low rank k arise in vibrations of fluid–solid structures and of plates with elastically attached loads. Exp...
Frank Blömeling, Heinrich Voss
CORR
2010
Springer
124views Education» more  CORR 2010»
13 years 8 months ago
Dense Error Correction for Low-Rank Matrices via Principal Component Pursuit
Abstract--We consider the problem of recovering a lowrank matrix when some of its entries, whose locations are not known a priori, are corrupted by errors of arbitrarily large magn...
Arvind Ganesh, John Wright, Xiaodong Li, Emmanuel ...
TKDE
2012
270views Formal Methods» more  TKDE 2012»
11 years 10 months ago
Low-Rank Kernel Matrix Factorization for Large-Scale Evolutionary Clustering
—Traditional clustering techniques are inapplicable to problems where the relationships between data points evolve over time. Not only is it important for the clustering algorith...
Lijun Wang, Manjeet Rege, Ming Dong, Yongsheng Din...
KDD
2012
ACM
201views Data Mining» more  KDD 2012»
11 years 11 months ago
Low rank modeling of signed networks
Trust networks, where people leave trust and distrust feedback, are becoming increasingly common. These networks may be regarded as signed graphs, where a positive edge weight cap...
Cho-Jui Hsieh, Kai-Yang Chiang, Inderjit S. Dhillo...
IFIP
2005
Springer
14 years 1 months ago
A New Low Rank Quasi-Newton Update Scheme for Nonlinear Programming
A new quasi-Newton scheme for updating a low rank positive semi-definite Hessian approximation is described, primarily for use in sequential quadratic programming methods for non...
R. Fletcher