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» Bayesian spatial modeling and interpolation using copulas
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ICPR
2006
IEEE
14 years 8 months ago
Wavelet denoising of multicomponent images, using a Gaussian Scale Mixture model
In this paper, denoising on multicomponent images is performed. The presented procedure is a spatial waveletbased denoising techniques, based on Bayesian leastsquares optimization...
Paul Scheunders, Steve De Backer
CSDA
2008
80views more  CSDA 2008»
13 years 7 months ago
Variational Bayesian functional PCA
A Bayesian approach to analyze the modes of variation in a set of curves is suggested. It is based on a generative model thus allowing for noisy and sparse observations of curves....
Angelika van der Linde
ICIP
2003
IEEE
14 years 9 months ago
A Bayesian approach to inclusion and performance analysis of using extra information in bioelectric inverse problems
Due to attenuation and spatial smoothing that occurs in the conducting media, the bioelectric inverse problem of estimating sources from remote measurements is ill-posed and solut...
Yesim Serinagaoglu, Dana H. Brooks, Robert S. MacL...
VLSID
2005
IEEE
255views VLSI» more  VLSID 2005»
14 years 7 months ago
Estimation of Switching Activity in Sequential Circuits Using Dynamic Bayesian Networks
We propose a novel, non-simulative, probabilistic model for switching activity in sequential circuits, capturing both spatio-temporal correlations at internal nodes and higher ord...
Sanjukta Bhanja, Karthikeyan Lingasubramanian, N. ...
ICIP
2000
IEEE
14 years 9 months ago
A Wavelet-Based Image Denoising Technique Using Spatial Priors
We propose a new wavelet-based method for im age denoising that applies the Bayesian framework, using prior knowledge about the spatial clustering of the wavelet coefficients. Loc...
Aleksandra Pizurica, Wilfried Philips, Ignace Lema...