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NIPS
2001
13 years 8 months ago
Sequential Noise Compensation by Sequential Monte Carlo Method
We present a sequential Monte Carlo method applied to additive noise compensation for robust speech recognition in time-varying noise. The method generates a set of samples accord...
K. Yao, S. Nakamura
ICCAD
2004
IEEE
120views Hardware» more  ICCAD 2004»
14 years 4 months ago
A stochastic integral equation method for modeling the rough surface effect on interconnect capacitance
In this paper we describe a stochastic integral equation method for computing the mean value and the variance of capacitance of interconnects with random surface roughness. An ens...
Zhenhai Zhu, Jacob White, Alper Demir
AIIA
2003
Springer
14 years 19 days ago
Image-Based Monte-Carlo Localisation without a Map
In this paper, we propose a way to fuse the image-based localisation approach with the Monte-Carlo localisation approach. The method we propose does not suffer of the major limitat...
Emanuele Menegatti, Mauro Zoccarato, Enrico Pagell...
WSC
2004
13 years 8 months ago
On Using Monte Carlo Methods for Scheduling
Monte Carlo techniques have long been used (since Buffon's experiment to approximate the value of by tossing a needle onto striped paper) to analyze phenomena which, due to ...
Samarn Chantaravarapan, Ali K. Gunal, Edward J. Wi...
ICCS
2004
Springer
14 years 23 days ago
Improved Sampling for Biological Molecules Using Shadow Hybrid Monte Carlo
Shadow Hybrid Monte Carlo (SHMC) is a new method for sampling the phase space of large biological molecules. It improves sampling by allowing larger time steps and system sizes in ...
Scott S. Hampton, Jesús A. Izaguirre