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SAC
2008
ACM
13 years 4 months ago
Adaptive methods for sequential importance sampling with application to state space models
Abstract. In this paper we discuss new adaptive proposal strategies for sequential Monte Carlo algorithms--also known as particle filters--relying on new criteria evaluating the qu...
Julien Cornebise, Eric Moulines, Jimmy Olsson
PCM
2010
Springer
239views Multimedia» more  PCM 2010»
13 years 2 months ago
Adaptive Particle Filter Based on Energy Field for Robust Object Tracking in Complex Scenes
Particle filter (PF) based object tracking methods have been widely used in computer vision. However, traditional particle filter trackers cannot effectively distinguish the target...
Xin Sun, Hongxun Yao, Shengping Zhang, Shaohui Liu
RAS
2007
102views more  RAS 2007»
13 years 4 months ago
Fast and accurate SLAM with Rao-Blackwellized particle filters
Rao-Blackwellized particle filters have become a popular tool to solve the simultaneous localization and mapping problem. This technique applies a particle filter in which each ...
Giorgio Grisetti, Gian Diego Tipaldi, Cyrill Stach...
ISVC
2010
Springer
13 years 6 months ago
A Novel Consistency Regularizer for Meshless Nonrigid Image Registration
In nonrigid motion analysis, deformation fields are often modeled using splines defined on a control-point grid. Inspired by recent development of meshfree methods, we propose a no...
Wei Liu, Eraldo Ribeiro
CORR
2010
Springer
94views Education» more  CORR 2010»
13 years 3 months ago
Particle Swarm Optimization Based Diophantine Equation Solver
: The paper introduces particle swarm optimization as a viable strategy to find numerical solution of Diophantine equation, for which there exists no general method of finding solu...
Siby Abraham, Sugata Sanyal, Mukund A. Sanglikar