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AI
2007
Springer
14 years 1 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
ICRA
2005
IEEE
120views Robotics» more  ICRA 2005»
14 years 1 months ago
Hybrid PRM Sampling with a Cost-Sensitive Adaptive Strategy
— A number of advanced sampling strategies have been proposed in recent years to address the narrow passage problem for probabilistic roadmap (PRM) planning. These sampling strat...
David Hsu, Gildardo Sánchez-Ante, Zheng Sun
CORR
2008
Springer
197views Education» more  CORR 2008»
13 years 7 months ago
Sequential adaptive compressed sampling via Huffman codes
In this paper we introduce an information theoretic approach and use techniques from the theory of Huffman codes to construct a sequence of binary sampling vectors to determine a s...
Akram Aldroubi, Haichao Wang, Kourosh Zarringhalam
CGI
2004
IEEE
13 years 11 months ago
An Adaptive Sampling Method for Layered Depth Image
Sampling issue is an important problem in image based rendering. In this paper, we propose an adaptive sampling method to improve the Layered Depth Image framework. Different from...
Ravinder Namboori, Hung Chuan Teh, Zhiyong Huang
CCR
2002
105views more  CCR 2002»
13 years 7 months ago
Adaptive packet sampling for flow volume measurement
Traffic measurement and monitoring are an important component of network management and traffic engineering. With high-speed Internet backbone links, efficient and effective packe...
Baek-Young Choi, Jaesung Park, Zhi-Li Zhang