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» Optimizing Control Variate Estimators for Rendering
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TCAD
2010
164views more  TCAD 2010»
14 years 4 months ago
Advanced Variance Reduction and Sampling Techniques for Efficient Statistical Timing Analysis
The Monte-Carlo (MC) technique is a traditional solution for a reliable statistical analysis, and in contrast to probabilistic methods, it can account for any complicate model. How...
Javid Jaffari, Mohab Anis
ICIP
2008
IEEE
15 years 11 months ago
Coding-gain-based complexity control for H.264 video encoder
The allowable computational complexity of video encoding is limited in a power-constrained system. Different video frames are associated with different motions and contexts, and s...
Ming-Chen Chien, Zong-Yi Chen, Pao-Chi Chang
CDC
2009
IEEE
173views Control Systems» more  CDC 2009»
15 years 2 months ago
Sequentially updated Probability Collectives
— Multi-agent coordination problems can be cast as distributed optimization tasks. Probability Collectives (PCs) are techniques that deal with such problems in discrete and conti...
Michalis Smyrnakis, David S. Leslie
GLOBECOM
2006
IEEE
15 years 3 months ago
Predictive Buffering for Multi-Source Video Streaming over the Internet
—The current best-effort Internet does not guarantee the bandwidth availability between a receiver and a sender, and so renders any quality-of-service (QoS) control difficult, if...
P. Y. Ho, Jack Y. B. Lee
70
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GECCO
2004
Springer
110views Optimization» more  GECCO 2004»
15 years 3 months ago
Biomass Inferential Sensor Based on Ensemble of Models Generated by Genetic Programming
A successful industrial application of a novel type biomass estimator based on Genetic Programming (GP) is described in the paper. The biomass is inferred from other available meas...
Arthur K. Kordon, Elsa Jordaan, Lawrence Chew, Gui...