4926 search results - page 133 / 986 » Two Graph Algorithms On an Associative Computing Model |
188
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ESA
2004
Springer
16 years 5 days ago
2004
Springer
Abstract. We propose a novel randomized algorithm for computing a dominating set based clustering in wireless ad-hoc and sensor networks. The algorithm works under a model which ca...
193
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MICCAI
2009
Springer
15 years 11 months ago
2009
Springer
We propose a recursive Bayesian model for the delineation of coronary arteries from 3D CT angiograms (cardiac CTA) and discuss the use of discrete minimal path techniques as an eï¬...
184
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CSDA
2010
15 years 6 months ago
2010
Recently developed adaptive Markov chain Monte Carlo (MCMC) methods have been applied successfully to many problems in Bayesian statistics. Grapham is a new open source implementat...
184
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SIGCOMM
2006
ACM
16 years 22 days ago
2006
ACM
Researchers have proposed a variety of metrics to measure important graph properties, for instance, in social, biological, and computer networks. Values for a particular graph met...
154
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ICTAI
2009
IEEE
16 years 1 months ago
2009
IEEE
Energy-based learning (EBL) is a general framework to describe supervised and unsupervised training methods for probabilistic and non-probabilistic factor graphs. An energy-based ...