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» Learning to cluster using local neighborhood structure
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CORR
2008
Springer
150views Education» more  CORR 2008»
14 years 10 months ago
A Local Mean Field Analysis of Security Investments in Networks
Getting agents in the Internet, and in networks in general, to invest in and deploy security features and protocols is a challenge, in particular because of economic reasons arisi...
Marc Lelarge, Jean Bolot
PODC
2005
ACM
15 years 3 months ago
On the locality of bounded growth
Many large-scale networks such as ad hoc and sensor networks, peer-to-peer networks, or the Internet have the property that the number of independent nodes does not grow arbitrari...
Fabian Kuhn, Thomas Moscibroda, Roger Wattenhofer
EOR
2007
110views more  EOR 2007»
14 years 9 months ago
A hierarchical ant based clustering algorithm and its use in three real-world applications
In this paper is presented a new model for data clustering, which is inspired from the selfassembly behavior of real ants. Real ants can build complex structures by connecting the...
Hanene Azzag, Gilles Venturini, Antoine Oliver, Ch...
TMI
2008
154views more  TMI 2008»
14 years 9 months ago
Brain Anatomical Structure Segmentation by Hybrid Discriminative/Generative Models
In this paper, a hybrid discriminative/generative model for brain anatomical structure segmentation is proposed. The learning aspect of the approach is emphasized. In the discrimin...
Zhuowen Tu, Katherine Narr, Piotr Dollár, I...
BMCBI
2010
214views more  BMCBI 2010»
14 years 10 months ago
AutoSOME: a clustering method for identifying gene expression modules without prior knowledge of cluster number
Background: Clustering the information content of large high-dimensional gene expression datasets has widespread application in "omics" biology. Unfortunately, the under...
Aaron M. Newman, James B. Cooper