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SODA
1994
ACM
105views Algorithms» more  SODA 1994»
13 years 6 months ago
Approximate Data Structures with Applications
Abstract Yossi Matias Je rey Scott Vitter y Neal E. Young z In this paper we introduce the notion of approximate data structures, in which a small amount of error is tolerated in...
Yossi Matias, Jeffrey Scott Vitter, Neal E. Young
AUTOMATICA
2008
139views more  AUTOMATICA 2008»
13 years 4 months ago
Structured low-rank approximation and its applications
Fitting data by a bounded complexity linear model is equivalent to low-rank approximation of a matrix constructed from the data. The data matrix being Hankel structured is equival...
Ivan Markovsky
CSDA
2010
132views more  CSDA 2010»
13 years 4 months ago
Approximate low-rank factorization with structured factors
An approximate rank revealing factorization problem with structure constraints on the normalized factors is considered. Examples of structure, motivated by an application in micro...
Ivan Markovsky, Mahesan Niranjan
SDM
2011
SIAM
414views Data Mining» more  SDM 2011»
12 years 7 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
KDD
2006
ACM
157views Data Mining» more  KDD 2006»
14 years 5 months ago
Using structure indices for efficient approximation of network properties
Statistics on networks have become vital to the study of relational data drawn from areas such as bibliometrics, fraud detection, bioinformatics, and the Internet. Calculating man...
Matthew J. Rattigan, Marc Maier, David Jensen