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» Non-iterative generalized low rank approximation of matrices
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CORR
2006
Springer
178views Education» more  CORR 2006»
13 years 7 months ago
Low-rank matrix factorization with attributes
We develop a new collaborative filtering (CF) method that combines both previously known users' preferences, i.e. standard CF, as well as product/user attributes, i.e. classi...
Jacob Abernethy, Francis Bach, Theodoros Evgeniou,...
CORR
2007
Springer
105views Education» more  CORR 2007»
13 years 7 months ago
Relative-Error CUR Matrix Decompositions
Many data analysis applications deal with large matrices and involve approximating the matrix using a small number of “components.” Typically, these components are linear combi...
Petros Drineas, Michael W. Mahoney, S. Muthukrishn...
GECCO
2006
Springer
154views Optimization» more  GECCO 2006»
13 years 11 months ago
Spectral techniques for graph bisection in genetic algorithms
Various applications of spectral techniques for enhancing graph bisection in genetic algorithms are investigated. Several enhancements to a genetic algorithm for graph bisection a...
Jacob G. Martin
ICDE
2008
IEEE
166views Database» more  ICDE 2008»
14 years 8 months ago
A Clustered Index Approach to Distributed XPath Processing
Supporting top-k queries over distributed collections of schemaless XML data poses two challenges. While XML supports expressive query languages such as XPath and XQuery, these la...
Georgia Koloniari, Evaggelia Pitoura
CORR
2011
Springer
241views Education» more  CORR 2011»
13 years 2 months ago
An Alternating Direction Algorithm for Matrix Completion with Nonnegative Factors
This paper introduces a novel algorithm for the nonnegative matrix factorization and completion problem, which aims to find nonnegative matrices X and Y from a subset of entries o...
Yangyang Xu, Wotao Yin, Zaiwen Wen, Yin Zhang