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» The Complexity of the Evolution of Graph Labelings
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CVPR
2011
IEEE
13 years 3 months ago
Learning Message-Passing Inference Machines for Structured Prediction
Nearly every structured prediction problem in computer vision requires approximate inference due to large and complex dependencies among output labels. While graphical models prov...
Stephane Ross, Daniel Munoz, J. Andrew Bagnell
ACSD
2005
IEEE
126views Hardware» more  ACSD 2005»
14 years 1 months ago
Modelling and Analysis of Distributed Simulation Protocols with Distributed Graph Transformation
This paper presents our approach to model distributed discrete event simulation systems in the framework of distributed graph transformation. We use distributed typed attributed g...
Juan de Lara, Gabriele Taentzer
EJC
2006
13 years 7 months ago
Counting connected graphs asymptotically
We find the asymptotic number of connected graphs with k vertices and k - 1 + l edges when k, l approach infinity, reproving a result of Bender, Canfield and McKay. We use the pro...
Remco van der Hofstad, Joel Spencer
CORR
2010
Springer
112views Education» more  CORR 2010»
13 years 7 months ago
On Finding Frequent Patterns in Event Sequences
Given a directed acyclic graph with labeled vertices, we consider the problem of finding the most common label sequences ("traces") among all paths in the graph (of some...
Andrea Campagna, Rasmus Pagh
GECCO
2007
Springer
168views Optimization» more  GECCO 2007»
14 years 1 months ago
Stability in the self-organized evolution of networks
The modeling and analysis of large networks of autonomous agents is an important topic with applications in many different disciplines. One way of modeling the development of such...
Thomas Jansen, Madeleine Theile