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JMLR
2010
137views more  JMLR 2010»
13 years 1 months ago
Importance Sampling for Continuous Time Bayesian Networks
A continuous time Bayesian network (CTBN) uses a structured representation to describe a dynamic system with a finite number of states which evolves in continuous time. Exact infe...
Yu Fan, Jing Xu, Christian R. Shelton
GPEM
2006
127views more  GPEM 2006»
13 years 6 months ago
A hierarchical particle swarm optimizer for noisy and dynamic environments
New Particle Swarm Optimization (PSO) methods for dynamic and noisy function optimization are studied in this paper. The new methods are based on the hierarchical PSO (H-PSO) and a...
Stefan Janson, Martin Middendorf
ISVC
2005
Springer
13 years 11 months ago
Multi-aspect Target Tracking in Image Sequences Using Particle Filters
This paper addresses the issue of multi-aspect target tracking where target’s aspect is modeled by a continuous-valued affine model. The affine parameters are assumed to follow ï...
Li Tang, Vijay Venkataraman, Guoliang Fan
CVPR
2008
IEEE
14 years 8 months ago
Particle filtering for registration of 2D and 3D point sets with stochastic dynamics
In this paper, we propose a particle filtering approach for the problem of registering two point sets that differ by a rigid body transformation. Typically, registration algorithm...
Romeil Sandhu, Samuel Dambreville, Allen Tannenbau...
ANOR
2006
70views more  ANOR 2006»
13 years 6 months ago
Optimization problems in electron microscopy of single particles
Electron Microscopy is a valuable tool for the elucidation of the three-dimensional structure of macromolecular complexes. Knowledge about the macromolecular structure provides imp...
Carlos Oscar Sánchez Sorzano, Roberto Marab...