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» Random road networks: the quadtree model
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CORR
2010
Springer
106views Education» more  CORR 2010»
13 years 6 days ago
Random road networks: the quadtree model
What does a typical road network look like? Existing generative models tend to focus on one aspect to the exclusion of others. We introduce the general-purpose quadtree model and ...
David Eisenstat
ICML
2007
IEEE
14 years 6 months ago
Conditional random fields for multi-agent reinforcement learning
Conditional random fields (CRFs) are graphical models for modeling the probability of labels given the observations. They have traditionally been trained with using a set of obser...
Xinhua Zhang, Douglas Aberdeen, S. V. N. Vishwanat...
INFOCOM
2009
IEEE
13 years 12 months ago
Alpha Coverage: Bounding the Interconnection Gap for Vehicular Internet Access
—Vehicular Internet access via open WLAN access points (APs) has been demonstrated to be a feasible solution to provide opportunistic data service to moving vehicles. Using an in...
Zizhan Zheng, Prasun Sinha, Santosh Kumar
CORR
2011
Springer
202views Education» more  CORR 2011»
13 years 7 days ago
High Degree Vertices, Eigenvalues and Diameter of Random Apollonian Networks
ABSTRACT. Upon the discovery of power laws [8, 16, 30], a large body of work in complex network analysis has focused on developing generative models of graphs which mimick real-wor...
Alan M. Frieze, Charalampos E. Tsourakakis
ICPR
2002
IEEE
14 years 6 months ago
Relational Graph Labelling Using Learning Techniques and Markov Random Fields
This paper introduces an approach for handling complex labelling problems driven by local constraints. The purpose is illustrated by two applications: detection of the road networ...
Denis Rivière, Jean-Francois Mangin, Jean-M...