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» Detecting Inconsistencies in Distributed Data
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CONCURRENCY
2004
151views more  CONCURRENCY 2004»
13 years 10 months ago
User transparency: a fully sequential programming model for efficient data parallel image processing
Although many image processing applications are ideally suited for parallel implementation, most researchers in imaging do not benefit from high performance computing on a daily b...
Frank J. Seinstra, Dennis Koelma
KDD
2010
ACM
277views Data Mining» more  KDD 2010»
14 years 1 months ago
Growing a tree in the forest: constructing folksonomies by integrating structured metadata
Many social Web sites allow users to annotate the content with descriptive metadata, such as tags, and more recently to organize content hierarchically. These types of structured ...
Anon Plangprasopchok, Kristina Lerman, Lise Getoor
KDD
2009
ACM
159views Data Mining» more  KDD 2009»
14 years 10 months ago
Adapting the right measures for K-means clustering
Clustering validation is a long standing challenge in the clustering literature. While many validation measures have been developed for evaluating the performance of clustering al...
Junjie Wu, Hui Xiong, Jian Chen
PODS
2007
ACM
122views Database» more  PODS 2007»
14 years 10 months ago
Privacy, accuracy, and consistency too: a holistic solution to contingency table release
The contingency table is a work horse of official statistics, the format of reported data for the US Census, Bureau of Labor Statistics, and the Internal Revenue Service. In many ...
Boaz Barak, Kamalika Chaudhuri, Cynthia Dwork, Sat...
AVSS
2006
IEEE
14 years 4 months ago
Optimal Power Scheduling for Data Fusion in Inhomogeneous Wireless Sensor Networks
We consider the problem of optimal power scheduling for the decentralized detection of a deterministic signal in an inhomogeneous wireless sensor network. The observation noise at...
Thakshila Wimalajeewa, Sudharman K. Jayaweera