13 search results - page 2 / 3 » The Stochastic Motion Roadmap: A Sampling Framework for Plan... |
CVPR
2010
IEEE
12 years 1 months ago
2010
IEEE
Robust tracking of abrupt motion is a challenging task
in computer vision due to the large motion uncertainty. In
this paper, we propose a stochastic approximation Monte
Carlo (...
Publication
Partially observable Markov decision processes (POMDPs) have been
successfully applied to various robot motion planning tasks under uncertainty.
However, most existing POMDP algo...
IJRR
2010
13 years 3 months ago
2010
Partially observable Markov decision processes (POMDPs) provide a principled, general framework for robot motion planning in uncertain and dynamic environments. They have been app...
CORR
2012
Springer
12 years 7 days ago
2012
Springer
Abstract— In this paper, we consider a class of continuoustime, continuous-space stochastic optimal control problems. Building upon recent advances in Markov chain approximation ...
CVPR
2009
IEEE
2009
IEEE
Layered Graph Matching by Composite Cluster Sampling with Collaborative and Competitive Interactions
14 years 11 months ago
This paper studies a framework for matching an unknown
number of corresponding structures in two images
(shapes), motivated by detecting objects in cluttered background
and lear...