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» Two Graph Algorithms On an Associative Computing Model
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CVPR
2011
IEEE
15 years 1 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
EPEW
2010
Springer
15 years 5 months ago
Accurate Performance Estimation for Stochastic Marked Graphs by Bottleneck Regrowing
Abstract. The adequate system performance is usually a critical requirement to be checked during the verification phase of a system. Thus, accurately measuring the performance of c...
Ricardo J. Rodríguez, Jorge Júlvez
CRIWG
2007
15 years 6 months ago
Coordinating Multi-task Environments Through the Methodology of Relations Graph
Abstract. This paper presents Relations Graph – GR a methodology to automate the generation of coordination mechanisms in computational environments. GR explores encapsulation an...
Adailton José Alves Da Cruz, Léo Pin...
ICML
2006
IEEE
16 years 5 months ago
Fast direct policy evaluation using multiscale analysis of Markov diffusion processes
Policy evaluation is a critical step in the approximate solution of large Markov decision processes (MDPs), typically requiring O(|S|3 ) to directly solve the Bellman system of |S...
Mauro Maggioni, Sridhar Mahadevan
GD
2007
Springer
15 years 11 months ago
Line Crossing Minimization on Metro Maps
We consider the problem of drawing a set of simple paths along the edges of an embedded underlying graph G = (V, E), so that the total number of crossings among pairs of paths is m...
Michael A. Bekos, Michael Kaufmann, Katerina Potik...