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163
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WSC
2001
15 years 4 months ago
Accounting for input model and parameter uncertainty in simulation
Taking into account input-model, input-parameter, and stochastic uncertainties inherent in many simulations, our Bayesian approach to input modeling yields valid point and confide...
Faker Zouaoui, James R. Wilson
116
Voted
AVSS
2005
IEEE
15 years 8 months ago
Motion compensated refinement for low complexity pixel based distributed video coding
Distributed video coding (DVC) is a new coding paradigm that enables to exploit video statistics, partially or totally at the decoder. A particular case of DVC, Wyner-Ziv coding, ...
João Ascenso, Catarina Brites, Fernando Per...
113
Voted
ICIP
2009
IEEE
15 years 16 days ago
Image interpolation with edge-preserving differential motion refinement
Motion estimation (ME) methods based on differential techniques provide useful information for video analysis, and moreover it is relatively easy to embed into them regularity con...
Marco Cagnazzo, Wided Miled, Thomas Maugey, B&eacu...
122
Voted
ICIP
2002
IEEE
16 years 4 months ago
A Bayesian approach to inferring vascular tree structure from 2D imagery
We describe a method for inferring tree-like vascular structures from 2D imagery. A Markov Chain Monte Carlo (MCMC) algorithm is employed to produce approximate samples from the p...
Abhir Bhalerao, Elke Thönnes, Roland Wilson, ...
105
Voted
ICASSP
2011
IEEE
14 years 6 months ago
A novel tracking analysis of the Normalized Least Mean Fourth algorithm
In this work, the tracking analysis of the Normalized Least Mean Fourth (NLMF) algorithm is investigated for a random walk channel under very weak assumptions. The novelty of this...
Muhammad Moinuddin, Azzedine Zerguine