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» On Generating Random Network Structures: Connected Graphs
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135
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CIKM
2010
Springer
14 years 11 months ago
SHRINK: a structural clustering algorithm for detecting hierarchical communities in networks
Community detection is an important task for mining the structure and function of complex networks. Generally, there are several different kinds of nodes in a network which are c...
Jianbin Huang, Heli Sun, Jiawei Han, Hongbo Deng, ...
85
Voted
IJRR
2006
116views more  IJRR 2006»
15 years 15 days ago
The Graph SLAM Algorithm with Applications to Large-Scale Mapping of Urban Structures
This article presents GraphSLAM, a unifying algorithm for the offline SLAM problem. GraphSLAM is closely related to a recent sequence of research papers on applying optimization t...
Sebastian Thrun, Michael Montemerlo
136
Voted
SP
2008
IEEE
159views Security Privacy» more  SP 2008»
15 years 13 days ago
Inferring neuronal network connectivity from spike data: A temporal data mining approach
Abstract. Understanding the functioning of a neural system in terms of its underlying circuitry is an important problem in neuroscience. Recent developments in electrophysiology an...
Debprakash Patnaik, P. S. Sastry, K. P. Unnikrishn...
ESA
2005
Springer
108views Algorithms» more  ESA 2005»
15 years 6 months ago
Bootstrapping a Hop-Optimal Network in the Weak Sensor Model
Sensor nodes are very weak computers that get distributed at random on a surface. Once deployed, they must wake up and form a radio network. Sensor network bootstrapping research t...
Martin Farach-Colton, Rohan J. Fernandes, Miguel A...
78
Voted
CORR
2010
Springer
148views Education» more  CORR 2010»
15 years 18 days ago
Techniques for Enhanced Physical-Layer Security
Information-theoretic security--widely accepted as the strictest notion of security--relies on channel coding techniques that exploit the inherent randomness of propagation channel...
Pedro C. Pinto, João Barros, Moe Z. Win