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» Sublinear time approximate clustering
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ICDIM
2007
IEEE
13 years 9 months ago
Predicting durability in DHTs using Markov chains
We consider the problem of data durability in lowbandwidth large-scale distributed storage systems. Given the limited bandwidth between replicas, these systems suffer from long re...
Fabio Picconi, Bruno Baynat, Pierre Sens
PAKDD
2009
ACM
209views Data Mining» more  PAKDD 2009»
14 years 4 months ago
Approximate Spectral Clustering.
Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-...
Christopher Leckie, James C. Bezdek, Kotagiri Rama...
COMPGEOM
2004
ACM
14 years 27 days ago
Locality-sensitive hashing scheme based on p-stable distributions
We present a novel Locality-Sensitive Hashing scheme for the Approximate Nearest Neighbor Problem under ÐÔ norm, based on Ôstable distributions. Our scheme improves the running...
Mayur Datar, Nicole Immorlica, Piotr Indyk, Vahab ...
APPROX
2004
Springer
119views Algorithms» more  APPROX 2004»
14 years 26 days ago
Approximation Schemes for Broadcasting in Heterogenous Networks
We study the problem of minimizing the broadcast time for a set of processors in a cluster, where processor has transmission time , which is the time taken to send a message to any...
Samir Khuller, Yoo Ah Kim, Gerhard J. Woeginger
JCP
2007
118views more  JCP 2007»
13 years 7 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