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CGF
2008
129views more  CGF 2008»
14 years 12 months ago
Sequential Monte Carlo Adaptation in Low-Anisotropy Participating Media
This paper presents a novel method that effectively combines both control variates and importance sampling in a sequential Monte Carlo context. The radiance estimates computed dur...
Vincent Pegoraro, Ingo Wald, Steven G. Parker
AR
2005
115views more  AR 2005»
14 years 11 months ago
Insights toward robot-assisted evacuation
This paper discusses the application of robotic technologies to an evacuation assistance task. We describe how this kind of task differs from the more prevalent search and rescue ...
Dylan A. Shell, Maja J. Mataric
TASLP
2002
109views more  TASLP 2002»
14 years 11 months ago
Particle methods for Bayesian modeling and enhancement of speech signals
This paper applies time-varying autoregressive (TVAR) models with stochastically evolving parameters to the problem of speech modeling and enhancement. The stochastic evolution mod...
Jaco Vermaak, Christophe Andrieu, Arnaud Doucet, S...
JMLR
2010
184views more  JMLR 2010»
14 years 6 months ago
Sequential Monte Carlo Samplers for Dirichlet Process Mixtures
In this paper, we develop a novel online algorithm based on the Sequential Monte Carlo (SMC) samplers framework for posterior inference in Dirichlet Process Mixtures (DPM) (DelMor...
Yener Ülker, Bilge Günsel, Ali Taylan Ce...
ICASSP
2011
IEEE
14 years 3 months ago
Bayesian detection of interference in satellite navigation systems
In this paper, we propose a novel algorithm to detect/compensate online interference effects when integrating Global Navigation Satellite System (GNSS) and Inertial Navigation Sys...
Frederic Faurie, Audrey Giremus