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MICCAI
2004
Springer
14 years 8 months ago
3D Bayesian Regularization of Diffusion Tensor MRI Using Multivariate Gaussian Markov Random Fields
3D Bayesian regularization applied to diffusion tensor MRI is presented here. The approach uses Markov Random Field ideas and is based upon the definition of a 3D neighborhood syst...
Marcos Martín-Fernández, Carl-Fredri...
CVIU
2007
84views more  CVIU 2007»
13 years 7 months ago
Practical implementation of LMMSE demosaicing using luminance and chrominance spaces
Most digital color cameras sample only one color at each spatial location, using a single sensor coupled with a color filter array (CFA). An interpolation step called demosaicing...
Brice Chaix de Lavarène, David Alleysson, J...
ICC
2007
IEEE
14 years 2 months ago
MIMO LMMSE Transceiver Design with Imperfect CSI at Both Ends
— This paper presents a new result on minimum total mean squared error (MSE) joint transceiver design for multiple-input multiple-output (MIMO) systems, with imperfect channel st...
Minhua Ding, Steven D. Blostein
ICEIS
1999
IEEE
14 years 2 days ago
Contour Estimation on Piecewise Homogeneous Random Fields
: Contour Estimation, Bayesian Estimation, Random Fields, Dynamic Programming, Multigrid Methods. This paper addresses contour estimation on images modeled as piecewise homogeneous...
José A. Moinhos Cordeiro, José M. B....
CORR
2010
Springer
134views Education» more  CORR 2010»
13 years 6 months ago
The LASSO risk for gaussian matrices
We consider the problem of learning a coefficient vector x0 ∈ RN from noisy linear observation y = Ax0 + w ∈ Rn . In many contexts (ranging from model selection to image proce...
Mohsen Bayati, Andrea Montanari