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» Measuring the Quality of Approximated Clusterings
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UAI
2004
15 years 3 months ago
On the Choice of Regions for Generalized Belief Propagation
Generalized belief propagation (GBP) has proven to be a promising technique for approximate inference tasks in AI and machine learning. However, the choice of a good set of cluste...
Max Welling
ICDM
2010
IEEE
230views Data Mining» more  ICDM 2010»
14 years 12 months ago
Clustering Large Attributed Graphs: An Efficient Incremental Approach
In recent years, many networks have become available for analysis, including social networks, sensor networks, biological networks, etc. Graph clustering has shown its effectivenes...
Yang Zhou, Hong Cheng, Jeffrey Xu Yu
SSD
2005
Springer
116views Database» more  SSD 2005»
15 years 7 months ago
PA-Tree: A Parametric Indexing Scheme for Spatio-temporal Trajectories
Abstract. Many new applications involving moving objects require the collection and querying of trajectory data, so efficient indexing methods are needed to support complex spatio...
Jinfeng Ni, Chinya V. Ravishankar
118
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ISPAN
2005
IEEE
15 years 7 months ago
A Scalable Method for Predicting Network Performance in Heterogeneous Clusters
An important requirement for the effective scheduling of parallel applications on large heterogeneous clusters is a current view of system resource availability. Maintaining such ...
Dimitrios Katramatos, Steve J. Chapin
IPPS
2010
IEEE
14 years 12 months ago
Robust control-theoretic thermal balancing for server clusters
Thermal management is critical for clusters because of the increasing power consumption of modern processors, compact server architectures and growing server density in data center...
Yong Fu, Chenyang Lu, Hongan Wang