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» Centrality Estimation in Large Networks
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MASCOTS
2008
14 years 11 months ago
Tackling the Memory Balancing Problem for Large-Scale Network Simulation
A key obstacle to large-scale network simulation over PC clusters is the memory balancing problem where a memory-overloaded machine can slow down an entire simulation due to disk ...
Hyojeong Kim, Kihong Park
MLG
2007
Springer
15 years 3 months ago
Inferring Vertex Properties from Topology in Large Networks
: Network topology not only tells about tightly-connected “communities,” but also gives cues on more subtle properties of the vertices. We introduce a simple probabilistic late...
Janne Sinkkonen, Janne Aukia, Samuel Kaski
ISPD
2006
ACM
103views Hardware» more  ISPD 2006»
15 years 3 months ago
High accurate pattern based precondition method for extremely large power/ground grid analysis
In this paper, we propose more accurate power/ground network circuit model, which consider both via and ground bounce effects to improve the performance estimation accuracy of on-...
Jin Shi, Yici Cai, Sheldon X.-D. Tan, Xianlong Hon...
ICASSP
2011
IEEE
14 years 1 months ago
CLT for eigen-inference methods in cognitive radios
This article provides a central limit theorem for a consistent estimator of the population eigenvalues of a class of sample covariance matrices. An exact expression as well as an ...
Jianfeng Yao, Romain Couillet, Jamal Najim, Eric M...
VTC
2007
IEEE
190views Communications» more  VTC 2007»
15 years 3 months ago
An Adaptive Location Estimator Based on Kalman Filtering for Wireless Sensor Networks
—In this paper, we present a positioning and tracking scheme based on adaptive weighted interpolation and Kalman filtering for wireless sensor networks. The proposed positioning ...
Chin-Liang Wang, Yih-Shyh Chiou, Yu-Sheng Dai