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» Rigorous Result for the CHKNS Random Graph Model
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SDM
2010
SIAM
183views Data Mining» more  SDM 2010»
15 years 1 months ago
GraSS: Graph Structure Summarization
Large graph databases are commonly collected and analyzed in numerous domains. For reasons related to either space efficiency or for privacy protection (e.g., in the case of socia...
Kristen LeFevre, Evimaria Terzi
CORR
2010
Springer
79views Education» more  CORR 2010»
14 years 12 months ago
Random Topologies and the emergence of cooperation: the role of short-cuts
We present a detailed study about the role of the short-cuts of a network in promoting the emergence of cooperation in a population of agents playing the Prisoner's Dilemma Ga...
Daniele Vilone, Angel Sánchez, Jesús...
ISQED
2005
IEEE
140views Hardware» more  ISQED 2005»
15 years 5 months ago
Toward Quality EDA Tools and Tool Flows Through High-Performance Computing
As the scale and complexity of VLSI circuits increase, Electronic Design Automation (EDA) tools become much more sophisticated and are held to increasing standards of quality. New...
Aaron N. Ng, Igor L. Markov
CVPR
2008
IEEE
16 years 1 months ago
Learning for stereo vision using the structured support vector machine
We present a random field based model for stereo vision with explicit occlusion labeling in a probabilistic framework. The model employs non-parametric cost functions that can be ...
Yunpeng Li, Daniel P. Huttenlocher
SDM
2008
SIAM
138views Data Mining» more  SDM 2008»
15 years 1 months ago
Clustering from Constraint Graphs
In constrained clustering it is common to model the pairwise constraints as edges on the graph of observations. Using results from graph theory, we analyze such constraint graphs ...
Ari Freund, Dan Pelleg, Yossi Richter