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COCO
2009
Springer
119views Algorithms» more  COCO 2009»
14 years 3 months ago
An Approximation Algorithm for Approximation Rank
One of the strongest techniques available for showing lower bounds on quantum communication complexity is the logarithm of the approximation rank of the communication matrix— th...
Troy Lee, Adi Shraibman
SDM
2011
SIAM
414views Data Mining» more  SDM 2011»
12 years 11 months ago
Clustered low rank approximation of graphs in information science applications
In this paper we present a fast and accurate procedure called clustered low rank matrix approximation for massive graphs. The procedure involves a fast clustering of the graph and...
Berkant Savas, Inderjit S. Dhillon
WWW
2005
ACM
14 years 9 months ago
On the feasibility of low-rank approximation for personalized PageRank
Personalized PageRank expresses backlink-based page quality around user-selected pages in a similar way to PageRank over the entire Web. Algorithms for computing personalized Page...
András A. Benczúr, Károly Csa...
SPIRE
2009
Springer
14 years 3 months ago
Sketching Algorithms for Approximating Rank Correlations in Collaborative Filtering Systems
Collaborative filtering (CF) shares information between users to provide each with recommendations. Previous work suggests using sketching techniques to handle massive data sets i...
Yoram Bachrach, Ralf Herbrich, Ely Porat
CVPR
2006
IEEE
14 years 10 months ago
Equivalence of Non-Iterative Algorithms for Simultaneous Low Rank Approximations of Matrices
Recently four non-iterative algorithms for simultaneous low rank approximations of matrices (SLRAM) have been presented by several researchers. In this paper, we show that those a...
Kohei Inoue, Kiichi Urahama