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SDM
2009
SIAM
123views Data Mining» more  SDM 2009»
16 years 3 months ago
Randomization Techniques for Graphs.
Mining graph data is an active research area. Several data mining methods and algorithms have been proposed to identify structures from graphs; still, the evaluation of those resu...
Gemma C. Garriga, Kai Puolamäki, Sami Hanhij&...
ICCAD
2005
IEEE
90views Hardware» more  ICCAD 2005»
16 years 3 months ago
Scalable compositional minimization via static analysis
State-equivalence based reduction techniques, e.g. bisimulation minimization, can be used to reduce a state transition system to facilitate subsequent verification tasks. However...
Fadi A. Zaraket, Jason Baumgartner, Adnan Aziz
SOSP
2001
ACM
16 years 3 months ago
Building Efficient Wireless Sensor Networks with Low-Level Naming
In most distributed systems, naming of nodes for low-level communication leveragestopologicallocation(such as node addresses) and is independentof any application. In this paper, ...
John S. Heidemann, Fabio Silva, Chalermek Intanago...
CSCW
2010
ACM
16 years 3 months ago
Is it really about me?: message content in social awareness streams
In this work we examine the characteristics of social activity and patterns of communication on Twitter, a prominent example of the emerging class of communication systems we call...
Mor Naaman, Jeffrey Boase, Chih-Hui Lai
CVPR
2010
IEEE
16 years 3 months ago
A Generative Perspective on MRFs in Low-Level Vision
Markov random fields (MRFs) are popular and generic probabilistic models of prior knowledge in low-level vision. Yet their generative properties are rarely examined, while applica...
Uwe Schmidt, Qi Gao, Stefan Roth
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