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» Energy Models for Graph Clustering
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ICASSP
2007
IEEE
15 years 11 months ago
Markov Random Field Energy Minimization via Iterated Cross Entropy with Partition Strategy
This paper introduces a novel energy minimization method, namely iterated cross entropy with partition strategy (ICEPS), into the Markov random field theory. The solver, which is...
Jue Wu, Albert C. S. Chung
147
Voted
DCOSS
2008
Springer
15 years 6 months ago
Energy-Efficient Task Mapping for Data-Driven Sensor Network Macroprogramming
Data-driven macroprogramming of wireless sensor networks (WSNs) provides an easy to use high-level task graph representation to the application developer. However, determining an e...
Animesh Pathak, Viktor K. Prasanna
ICPP
2007
IEEE
15 years 10 months ago
CPU MISER: A Performance-Directed, Run-Time System for Power-Aware Clusters
Performance and power are critical design constraints in today’s high-end computing systems. Reducing power consumption without impacting system performance is a challenge for t...
Rong Ge, Xizhou Feng, Wu-chun Feng, Kirk W. Camero...
EWSN
2004
Springer
16 years 4 months ago
Max-Min Length-Energy-Constrained Routing in Wireless Sensor Networks
We consider the problem of inter-cluster routing between cluster heads via intermediate sensor nodes in a hierarchical sensor network. Sensor nodes having limited and unreplenishab...
Rajgopal Kannan, Lydia Ray, Ramaraju Kalidindi, S....
145
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UAI
2004
15 years 5 months ago
On the Choice of Regions for Generalized Belief Propagation
Generalized belief propagation (GBP) has proven to be a promising technique for approximate inference tasks in AI and machine learning. However, the choice of a good set of cluste...
Max Welling