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» Centrality Estimation in Large Networks
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AI
2007
Springer
15 years 4 months ago
Improving Importance Sampling by Adaptive Split-Rejection Control in Bayesian Networks
Importance sampling-based algorithms are a popular alternative when Bayesian network models are too large or too complex for exact algorithms. However, importance sampling is sensi...
Changhe Yuan, Marek J. Druzdzel
ICVGIP
2004
14 years 11 months ago
Design of A Geometry Streaming System
The size and detail of graphics environments in everyday use has gone up considerably recently. Still, most applications use locally resident geometric content for rendering. In t...
Soumyajit Deb, P. J. Narayanan
ICCCN
2008
IEEE
15 years 4 months ago
Fingerprint-Based Location Estimation with Virtual Access Points
— Location fingerprinting techniques generally make use of existing wireless network infrastructure. Consequently, the positions of the access points (APs), which constitute an ...
A. K. M. Mahtab Hossain, Hien Nguyen Van, Wee-Seng...
TIP
2010
170views more  TIP 2010»
14 years 4 months ago
A Distributed Topological Camera Network Representation for Tracking Applications
Abstract--Sensor networks have been widely used for surveillance, monitoring, and tracking. Camera networks, in particular, provide a large amount of information that has tradition...
Edgar J. Lobaton, Ramanarayan Vasudevan, Ruzena Ba...
HPDC
2003
IEEE
15 years 3 months ago
Distributed Pagerank for P2P Systems
This paper defines and describes a fully distributed implementation of Google’s highly effective Pagerank algorithm, for “peer to peer”(P2P) systems. The implementation is ...
Karthikeyan Sankaralingam, Simha Sethumadhavan, Ja...