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» Approximation Algorithms for Minimum K-Cut
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STOC
2005
ACM
130views Algorithms» more  STOC 2005»
14 years 8 months ago
Low-distortion embeddings of general metrics into the line
A low-distortion embedding between two metric spaces is a mapping which preserves the distances between each pair of points, up to a small factor called distortion. Low-distortion...
Mihai Badoiu, Julia Chuzhoy, Piotr Indyk, Anastasi...
STOC
2007
ACM
112views Algorithms» more  STOC 2007»
14 years 8 months ago
Smooth sensitivity and sampling in private data analysis
We introduce a new, generic framework for private data analysis. The goal of private data analysis is to release aggregate information about a data set while protecting the privac...
Kobbi Nissim, Sofya Raskhodnikova, Adam Smith
SIGMOD
2008
ACM
138views Database» more  SIGMOD 2008»
14 years 7 months ago
Sampling time-based sliding windows in bounded space
Random sampling is an appealing approach to build synopses of large data streams because random samples can be used for a broad spectrum of analytical tasks. Users are often inter...
Rainer Gemulla, Wolfgang Lehner
SECON
2007
IEEE
14 years 1 months ago
Coverage Problem for Sensors Embedded in Temperature Sensitive Environments
— The coverage and connectivity problem in sensor networks has received significant attention of the research community in the recent years. In this paper, we study this problem...
Arunabha Sen, Nibedita Das, Ling Zhou, Bao Hong Sh...
INFOCOM
2006
IEEE
14 years 1 months ago
Complexity of Wavelength Assignment in Optical Network Optimization
— We study the complexity of a spectrum of design problems for optical networks in order to carry a set of demands. Under wavelength division multiplexing (WDM) technology, deman...
Matthew Andrews, Lisa Zhang