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» Bayesian Clustering by Dynamics
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2009
ACM
15 years 11 months ago
Scalable work stealing
Irregular and dynamic parallel applications pose significant challenges to achieving scalable performance on large-scale multicore clusters. These applications often require ongo...
James Dinan, D. Brian Larkins, P. Sadayappan, Srir...
ICDM
2007
IEEE
159views Data Mining» more  ICDM 2007»
15 years 10 months ago
Incremental Subspace Clustering over Multiple Data Streams
Data streams are often locally correlated, with a subset of streams exhibiting coherent patterns over a subset of time points. Subspace clustering can discover clusters of objects...
Qi Zhang, Jinze Liu, Wei Wang 0010
INFOCOM
2011
IEEE
14 years 7 months ago
Clustering in cooperative networks
Abstract—Low power ad hoc wireless networks operate in conditions where channels are subject to fading. Cooperative diversity mitigates fading in these networks by establishing v...
Boulat A. Bash, Dennis Goeckel, Donald F. Towsley
JMLR
2012
13 years 6 months ago
Maximum Margin Temporal Clustering
Temporal Clustering (TC) refers to the factorization of multiple time series into a set of non-overlapping segments that belong to k temporal clusters. Existing methods based on e...
Minh Hoai Nguyen, Fernando De la Torre
PAMI
2008
137views more  PAMI 2008»
15 years 4 months ago
Tracking the Visual Focus of Attention for a Varying Number of Wandering People
In this article, we define and address the problem of finding the visual focus of attention for a varying number of wandering people (VFOA-W)
Kevin Smith, Sileye O. Ba, Jean-Marc Odobez, Danie...