44 search results - page 5 / 9 » Numerical methods for high-dimensional probability density f... |
152
Voted
ICASSP
2011
IEEE
14 years 7 months ago
2011
IEEE
Exploiting prior knowledge, we use Bayesian estimation to localize a source heard by a fixed sensor network. The method has two main aspects: Firstly, the probability density fun...
115
Voted
ICCS
2001
Springer
15 years 8 months ago
2001
Springer
This study presents a Feynman–Kac path-integral implementation for solving the Dirichlet problem for Poisson’s equation. The algorithm is a modified “walk on spheres” (WO...
167
Voted
ICIP
2007
IEEE
16 years 5 months ago
2007
IEEE
Tracking 3D people from monocular video is often poorly constrained. To mitigate this problem, prior knowledge should be exploited. In this paper, the Gaussian process spatio-temp...
142
Voted
EDBT
2009
ACM
15 years 7 months ago
2009
ACM
In emerging applications such as location-based services, sensor monitoring and biological management systems, the values of the database items are naturally imprecise. For these ...
135
Voted
ICCV
2003
IEEE
16 years 5 months ago
2003
IEEE
We consider the problem of image segmentation using active contours through the minimization of an energy criterion involving both region and boundary functionals. These functiona...