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PIMRC
2008
IEEE
14 years 3 months ago
Bayesian inference in linear models with a random Gaussian matrix : Algorithms and complexity
—We consider the Bayesian inference of a random Gaussian vector in a linear model with a random Gaussian matrix. We review two approaches to finding the MAP estimator for this m...
Ido Nevat, Gareth W. Peters, Jinhong Yuan
COMPUTING
2007
122views more  COMPUTING 2007»
13 years 8 months ago
Error estimation for Bregman iterations and inverse scale space methods in image restoration
In this paper we consider error estimation for image restoration problems based on generalized Bregman distances. This error estimation technique has been used to derive convergen...
Martin Burger, E. Resmerita, Lin He
SAC
2005
ACM
14 years 2 months ago
Estimating manifold dimension by inversion error
Video and image datasets can often be described by a small number of parameters, even though each image usually consists of hundreds or thousands of pixels. This observation is of...
Shawn Martin, Alex Bäcker
HYBRID
2001
Springer
14 years 1 months ago
Design of Luenberger Observers for a Class of Hybrid Linear Systems
An approach to estimation for a class of hybrid discrete-time linear systems using Luenberger observers is presented. The proposed Luenberger observer for such a kind of systems re...
Angelo Alessandri, Paolo Coletta
CORR
2011
Springer
153views Education» more  CORR 2011»
13 years 3 months ago
Partially Linear Bayesian Estimation with Application to Sparse Approximations
—We address the problem of estimating a random vector X from two sets of measurements Y and Z, such that the estimator is linear in Y . We show that the partially linear minimum ...
Tomer Michaeli, Daniel Sigalov, Yonina C. Eldar