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ICIP
2000
IEEE
16 years 8 months ago
Motion Estimation Using Adaptive Blocksize Observation Model and Efficient Multiscale Regularization
Bayesian motion estimation requires two pdf models: observation model and motion field (prior) model. The optimization process for this method uses sequential approach, e.g. simul...
Stephanus Suryadarma Tandjung, Teddy Surya Gunawan...
DICTA
2003
15 years 8 months ago
Adaptive Magnetic Resonance Image Denoising Using Mixture Model and Wavelet Shrinkage
Abstract. This paper proposes a new adaptive wavelet-based Magnetic Resonance images denoising algorithm. A Rician distribution for background-noise modelling is introduced and a M...
Lei Jiang, Wenhui Yang
ICARCV
2006
IEEE
125views Robotics» more  ICARCV 2006»
16 years 19 days ago
Online Center of Gravity Estimation in Automotive Vehicles using Multiple Models and Switching
— In this paper we present a methodology based on multiple models and switching for realtime estimation of center of gravity (CG) position in automotive vehicles. The method util...
Selim Solmaz, Mehmet Akar, Robert Shorten
WSC
2008
15 years 9 months ago
Discrete stochastic optimization using linear interpolation
We consider discrete stochastic optimization problems where the objective function can only be estimated by a simulation oracle; the oracle is defined only at the discrete points....
Honggang Wang, Bruce W. Schmeiser
ECBS
2011
IEEE
204views Hardware» more  ECBS 2011»
14 years 6 months ago
Towards Comprehensive Modelling by Inter-model Links Using an Integrating Repository
—Model-based development techniques enable a high efficiency and the mastering of complexity. For many domains more than one model has to be used to express the relevant informat...
Matthias Riebisch, Stephan Bode, Qurat-ul-ann Faro...