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TCAD
2010
164views more  TCAD 2010»
14 years 11 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
EI
2011
100views more  EI 2011»
14 years 4 months ago
A time-triggered object tracking subsystem for advanced driver assistance systems
— Multi-sensor object tracking is an important feature for advanced driver assistance systems in future automobiles. Most state-of-the-art systems cannot guarantee deterministic ...
Wilfried Elmenreich, M. Koplin
ICASSP
2009
IEEE
15 years 11 months ago
A variational EM algorithm for learning eigenvoice parameters in mixed signals
We derive an efficient learning algorithm for model-based source separation for use on single channel speech mixtures where the precise source characteristics are not known a pri...
Ron J. Weiss, Daniel P. W. Ellis
ICPR
2008
IEEE
15 years 10 months ago
Adaptive semantic Bayesian framework for image attention
Image attention is the basic technique for many computer vision applications. In this paper, we propose an adaptive Bayesian framework to detect the image attention in color image...
Wei Zhang, Q. M. Jonathan Wu, Guanghui Wang
DICTA
2003
15 years 5 months ago
A Robust Method for Estimating the Fundamental Matrix
In this paper, we propose a robust method to estimate the fundamental matrix in the presence of outliers. The new method uses random minimum subsets as a search engine to find inli...
C. L. Feng, Y. S. Hung