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CVPR
2010
IEEE
12 years 4 months ago
Abrupt motion tracking via adaptive stochastic approximation Monte Carlo sampling
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 (...
Xiuzhuang Zhou and Yao Lu
ICASSP
2008
IEEE
14 years 2 months ago
Stability analysis of complex maximum likelihood ica using Wirtinger calculus
The desirable asymptotic optimality properties of the maximum likelihood (ML) estimator make it an attractive solution for performing independent component analysis (ICA) as well....
Hualiang Li, Tülay Adali
ICASSP
2008
IEEE
14 years 2 months ago
Adaptive RR prediction for cardiac MRI
Cardiac magnetic resonance imaging (MRI) is very challenging due to the perpetual heart movements. This movement is pseudo-periodic and implies several issues for image acquisitio...
Julien Oster, Olivier Pietquin, Gilles Bosser
CONCUR
2007
Springer
14 years 1 months ago
Making Random Choices Invisible to the Scheduler
Abstract. When dealing with process calculi and automata which express both nondeterministic and probabilistic behavior, it is customary to introduce the notion of scheduler to res...
Konstantinos Chatzikokolakis, Catuscia Palamidessi
AVSS
2009
IEEE
13 years 8 months ago
Object Tracking from Unstabilized Platforms by Particle Filtering with Embedded Camera Ego Motion
Visual tracking with moving cameras is a challenging task. The global motion induced by the moving camera moves the target object outside the expected search area, according to th...
Carlos R. del-Blanco, Narciso N. García, Lu...