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» Approximation Spaces and Information Granulation
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SODA
2010
ACM
164views Algorithms» more  SODA 2010»
15 years 6 months ago
Differentially Private Approximation Algorithms
Consider the following problem: given a metric space, some of whose points are "clients," select a set of at most k facility locations to minimize the average distance f...
Anupam Gupta, Katrina Ligett, Frank McSherry, Aaro...
STOC
2009
ACM
271views Algorithms» more  STOC 2009»
15 years 10 months ago
A fast and efficient algorithm for low-rank approximation of a matrix
The low-rank matrix approximation problem involves finding of a rank k version of a m ? n matrix AAA, labeled AAAk, such that AAAk is as "close" as possible to the best ...
Nam H. Nguyen, Thong T. Do, Trac D. Tran
IM
2006
14 years 9 months ago
Estimating Entropy and Entropy Norm on Data Streams
We consider the problem of computing information theoretic functions such as entropy on a data stream, using sublinear space. Our first result deals with a measure we call the &quo...
Amit Chakrabarti, Khanh Do Ba, S. Muthukrishnan
JMIV
2006
115views more  JMIV 2006»
14 years 9 months ago
Application of the Fisher-Rao Metric to Structure Detection
Abstract - Certain structure detection problems can be solved by sampling a parameter space for the different structures at a finite number of points and checking each point to see...
Stephen J. Maybank
JCP
2007
118views more  JCP 2007»
14 years 9 months ago
Dynamic Nonuniform Data Approximation in Databases with Haar Wavelet
Abstract— Data synopsis is a lossy compressed representation of data stored into databases that helps the query optimizer to speed up the query process, e.g. time to retrieve the...
Su Chen, Antonio Nucci