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» Bayesian Parameter Estimation: A Monte Carlo Approach
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TIP
2008
111views more  TIP 2008»
13 years 7 months ago
Unsupervised Bayesian Convex Deconvolution Based on a Field With an Explicit Partition Function
This paper proposes a non-Gaussian Markov field with a special feature: an explicit partition function. To the best of our knowledge, this is an original contribution. Moreover, th...
Jean-François Giovannelli
CGA
2005
13 years 7 months ago
A Novel Monte Carlo Noise Reduction Operator
A novel Monte Carlo noise reduction operator is proposed in this paper. We apply and extend the standard bilateral filtering method and build a new local adaptive noise reduction k...
Ruifeng Xu, Sumanta N. Pattanaik
ICASSP
2009
IEEE
14 years 2 months ago
Blind Monte Carlo detection-estimation method for optical coherence tomography
We consider the parametric analysis of frequency-domain optical coherence tomography (OCT) signals. A Monte Carlo (Gibbs sampler) detection-estimation method for determining the d...
Georg Kail, Clemens Novak, Bernd Hofer, Franz Hlaw...
ICASSP
2011
IEEE
12 years 11 months ago
Sequential Monte Carlo Radio-Frequency tomographic tracking
Radio Frequency (RF) tomographic tracking is the process of tracking moving targets by analyzing changes of attenuation in wireless transmissions. This paper presents a novel sequ...
Yunpeng Li, Xi Chen, Mark Coates, Bo Yang
CGF
2008
129views more  CGF 2008»
13 years 7 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