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ICASSP
2011
IEEE
14 years 4 months ago
Langevin and hessian with fisher approximation stochastic sampling for parameter estimation of structured covariance
We have studied two efficient sampling methods, Langevin and Hessian adapted Metropolis Hastings (MH), applied to a parameter estimation problem of the mathematical model (Lorent...
Cornelia Vacar, Jean-François Giovannelli, ...
88
Voted
COR
2007
133views more  COR 2007»
15 years 24 days ago
Reverse logistics network design with stochastic lead times
This work is concerned with the efficient design of a reverse logistics network using an extended version of models currently found in the literature. Those traditional, basic mo...
Kris Lieckens, Nico Vandaele
TON
2010
151views more  TON 2010»
14 years 7 months ago
Throughput Optimal Distributed Power Control of Stochastic Wireless Networks
The Maximum Differential Backlog (MDB) control policy of Tassiulas and Ephremides has been shown to adaptively maximize the stable throughput of multihop wireless networks with ran...
Yufang Xi, Edmund M. Yeh
96
Voted
ICCV
2007
IEEE
16 years 2 months ago
Efficient Computation of the Inverse Gradient on Irregular Domains
The inverse gradient problem, finding a scalar field f with a gradient near a given vector field g on some bounded and connected domain Rn , can be solved by means of a Poisson ...
Gunnar Farnebäck, Hans Knutsson, Joakim Rydel...
53
Voted
ICIP
2009
IEEE
16 years 1 months ago
The Dynamics Of Image Processing Viewed As Damped Elastic Deformation
Diffusion-type algorithms have been integrated in recent years successfully into the toolbox of image processing. We introduce a new more flexible and powerful family of parabolic...