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» Entropy-based Adaptive Sampling
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TOG
2008
140views more  TOG 2008»
13 years 7 months ago
Multidimensional adaptive sampling and reconstruction for ray tracing
We present a new adaptive sampling strategy for ray tracing. Our technique is specifically designed to handle multidimensional sample domains, and it is well suited for efficientl...
Toshiya Hachisuka, Wojciech Jarosz, Richard Peter ...
ASPDAC
2010
ACM
120views Hardware» more  ASPDAC 2010»
13 years 5 months ago
Wideband reduced modeling of interconnect circuits by adaptive complex-valued sampling method
In this paper, we propose a new wideband model order reduction method for interconnect circuits by using a novel adaptive sampling and error estimation scheme. We try to address t...
Hai Wang, Sheldon X.-D. Tan, Gengsheng Chen
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