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WDAG
2004
Springer
130views Algorithms» more  WDAG 2004»
14 years 1 months ago
Distributed Weighted Matching
Abstract. In this paper, we present fast and fully distributed algorithms for matching in weighted trees and general weighted graphs. The time complexity as well as the approximati...
Mirjam Wattenhofer, Roger Wattenhofer
BPM
2009
Springer
138views Business» more  BPM 2009»
14 years 2 months ago
Graph Matching Algorithms for Business Process Model Similarity Search
We investigate the problem of ranking all process models in a repository according to their similarity with respect to a given process model. We focus specifically on the applicat...
Remco M. Dijkman, Marlon Dumas, Luciano Garc&iacut...
VALUETOOLS
2006
ACM
176views Hardware» more  VALUETOOLS 2006»
14 years 1 months ago
How to solve large scale deterministic games with mean payoff by policy iteration
Min-max functions are dynamic programming operators of zero-sum deterministic games with finite state and action spaces. The problem of computing the linear growth rate of the or...
Vishesh Dhingra, Stephane Gaubert
NIPS
2008
13 years 9 months ago
Sparse Signal Recovery Using Markov Random Fields
Compressive Sensing (CS) combines sampling and compression into a single subNyquist linear measurement process for sparse and compressible signals. In this paper, we extend the th...
Volkan Cevher, Marco F. Duarte, Chinmay Hegde, Ric...
DATE
2007
IEEE
92views Hardware» more  DATE 2007»
14 years 2 months ago
Random sampling of moment graph: a stochastic Krylov-reduction algorithm
In this paper we introduce a new algorithm for model order reduction in the presence of parameter or process variation. Our analysis is performed using a graph interpretation of t...
Zhenhai Zhu, Joel R. Phillips