Sciweavers

30 search results - page 4 / 6
» Variance Reduction in Monte Carlo Capacitance Extraction
Sort
View
ICPR
2002
IEEE
14 years 13 days ago
Stochastic Filtering for Motion Trajectory in Image Sequences Using a Monte Carlo Filter with Estimation of Hyper-Parameters
False matching due to errors in feature extraction and changes in illumination between frames may occur in feature tracking in image sequences. False matching leads to outliers in...
Naoyuki Ichimura
NIPS
2001
13 years 8 months ago
Variance Reduction Techniques for Gradient Estimates in Reinforcement Learning
Policy gradient methods for reinforcement learning avoid some of the undesirable properties of the value function approaches, such as policy degradation (Baxter and Bartlett, 2001...
Evan Greensmith, Peter L. Bartlett, Jonathan Baxte...
TCAD
2010
164views more  TCAD 2010»
13 years 2 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
ICCS
2007
Springer
14 years 1 months ago
Modeling of Carrier Transport in Nanowires
Abstract. We consider a physical model of ultrafast evolution of an initial electron distribution in a quantum wire. The electron evolution is described by a quantum-kinetic equati...
Todor V. Gurov, Emanouil I. Atanassov, Mihail Nedj...
DAC
2009
ACM
14 years 2 months ago
Variational capacitance extraction of on-chip interconnects based on continuous surface model
In this paper we present a continuous surface model to describe the interconnect geometric variation, which improves the currently used model for better accuracy while not increas...
Wenjian Yu, Chao Hu, Wangyang Zhang