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WSC
2008
13 years 9 months ago
An application of parallel Monte Carlo modeling for real-time disease surveillance
The global health, threatened by emerging infectious diseases, pandemic influenza, and biological warfare, is becoming increasingly dependent on the rapid acquisition, processing,...
David W. Bauer, Mojdeh Mohtashemi
CONCURRENCY
2004
151views more  CONCURRENCY 2004»
13 years 7 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
CCGRID
2009
IEEE
14 years 2 months ago
Performance Issues in Parallelizing Data-Intensive Applications on a Multi-core Cluster
The deluge of available data for analysis demands the need to scale the performance of data mining implementations. With the current architectural trends, one of the major challen...
Vignesh T. Ravi, Gagan Agrawal
KDD
2002
ACM
113views Data Mining» more  KDD 2002»
14 years 7 months ago
Scalable robust covariance and correlation estimates for data mining
Covariance and correlation estimates have important applications in data mining. In the presence of outliers, classical estimates of covariance and correlation matrices are not re...
Fatemah A. Alqallaf, Kjell P. Konis, R. Douglas Ma...