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» Bayesian Parameter Estimation: A Monte Carlo Approach
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ISVLSI
2007
IEEE
204views VLSI» more  ISVLSI 2007»
14 years 1 months ago
Designing Memory Subsystems Resilient to Process Variations
As technology scales, more sophisticated fabrication processes cause variations in many different parameters in the device. These variations could severely affect the performance ...
Mahmoud Ben Naser, Yao Guo, Csaba Andras Moritz
ASPDAC
2010
ACM
211views Hardware» more  ASPDAC 2010»
13 years 5 months ago
A fast analog mismatch analysis by an incremental and stochastic trajectory piecewise linear macromodel
To cope with an increasing complexity when analyzing analog mismatch in sub-90nm designs, this paper presents a fast non-MonteCarlo method to calculate mismatch in time domain. Th...
Hao Yu, Xuexin Liu, Hai Wang, Sheldon X.-D. Tan
ACCV
2006
Springer
14 years 1 months ago
Tracking Targets Via Particle Based Belief Propagation
We first formulate multiple targets tracking problem in a dynamic Markov network(DMN)which is derived from a MRFs for joint target state and a binary process for occlusion of dual...
Jianru Xue, Nanning Zheng, Xiaopin Zhong
WSC
2008
13 years 9 months ago
Fast simulation of equity-linked life insurance contracts with a surrender option
In this paper, we consider equity-linked life insurance contracts that give their holder the possibility to surrender their policy before maturity. Such contracts can be valued us...
Carole Bernard, Christiane Lemieux
ICASSP
2009
IEEE
14 years 2 months ago
A Bayesian approach to HMM-based speech synthesis
This paper proposes a new framework of speech synthesis based on the Bayesian approach. The Bayesian method is a statistical technique for estimating reliable predictive distribut...
Kei Hashimoto, Heiga Zen, Yoshihiko Nankaku, Takas...