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» Algorithmic issues in modeling motion
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CVIU
2006
158views more  CVIU 2006»
15 years 3 months ago
Sequential mean field variational analysis of structured deformable shapes
A novel approach is proposed to analyzing and tracking the motion of structured deformable shapes, which consist of multiple correlated deformable subparts. Since this problem is ...
Gang Hua, Ying Wu
TSP
2011
197views more  TSP 2011»
14 years 10 months ago
Group Object Structure and State Estimation With Evolving Networks and Monte Carlo Methods
—This paper proposes a technique for motion estimation of groups of targets based on evolving graph networks. The main novelty over alternative group tracking techniques stems fr...
Amadou Gning, Lyudmila Mihaylova, Simon Maskell, S...
CVPR
2012
IEEE
13 years 6 months ago
Unsupervised learning of translation invariant occlusive components
We study unsupervised learning of occluding objects in images of visual scenes. The derived learning algorithm is based on a probabilistic generative model which parameterizes obj...
Zhenwen Dai, Jörg Lücke
CCECE
2009
IEEE
15 years 10 months ago
Estimation of boundary properties using stochastic differential equations
The inverse diffusion problems deal with the estimation of many crucial parameters such as the diffusion coefficient, source properties, and boundary conditions. Such algorithms ...
Ashraf Atalla, Aleksandar Jeremic
JCC
2010
113views more  JCC 2010»
15 years 2 months ago
MDLab: A molecular dynamics simulation prototyping environment
Molecular dynamics (MD) simulation involves solving Newton’s equations of motion for a system of atoms, by calculating forces and updating atomic positions and velocities over a...
Trevor M. Cickovski, Santanu Chatterjee, Jacob Wen...