26 search results - page 4 / 6 » Bayesian Inference on Principal Component Analysis Using Rev... |
WSC
1998
13 years 8 months ago
1998
In simulation modeling and analysis, there are two situations where there is uncertainty about the number of parameters needed to specify a model. The first is in input modeling w...
CVPR
2009
IEEE
15 years 3 months ago
2009
IEEE
The ambiguity inherent in a localized analysis of events from video can be resolved by exploiting constraints between events and examining only feasible global explanations. We sho...
CVPR
2009
IEEE
15 years 2 months ago
2009
IEEE
A Bayesian marked point process (MPP) model is developed
to detect and count people in crowded scenes. The
model couples a spatial stochastic process governing number
and placem...
ECCV
2002
Springer
14 years 9 months ago
2002
Springer
In this paper, we present a stochastic algorithm by effective Markov chain Monte Carlo (MCMC) for segmenting and reconstructing 3D scenes. The objective is to segment a range image...
3DPVT
2006
IEEE
13 years 11 months ago
2006
IEEE
We present a novel method for detecting and quantifying 3D structure in stacks of microscopic images captured at incremental focal lengths. We express the image data as stochastic...