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CISS
2008
IEEE
15 years 4 months ago
Near optimal lossy source coding and compression-based denoising via Markov chain Monte Carlo
— We propose an implementable new universal lossy source coding algorithm. The new algorithm utilizes two wellknown tools from statistical physics and computer science: Gibbs sam...
Shirin Jalali, Tsachy Weissman
TMI
2008
116views more  TMI 2008»
14 years 9 months ago
Dynamic PET Reconstruction Using Wavelet Regularization With Adapted Basis Functions
Tomographic reconstruction from positron emission tomography (PET) data is an ill-posed problem that requires regularization. An attractive approach is to impose an 1-regularizatio...
J. Verhaeghe, Dimitri Van De Ville, I. Khalidov, Y...
ICIP
2003
IEEE
15 years 11 months ago
A hierarchical statistical modeling approach for the unsupervised 3D reconstruction of the scoliotic spine
In this paper, we propose a new and accurate 3D reconstruction technique for the scoliotic spine from a pair planar and conventional radiographic images (postero-anterior and late...
Said Benameur, Max Mignotte, Stefan Parent, Hubert...
MVA
2007
186views Computer Vision» more  MVA 2007»
14 years 11 months ago
A Novel Approach of 3D Face Reconstruction Using Ellipse Fitting
The problem of reconstructing the 3D face using one image captured from a viewpoint arises in many fields of science and engineering, this paper propose the novel approach for rec...
Charoenpong Theekapun, Hiroyuki Hase, Shogo Tokai
ISBI
2007
IEEE
15 years 4 months ago
Space-Time Sparsity Regularization for the Magnetoencephalography Inverse Problem
The concept of “Space-Time Sparsity” (STS) penalization is introduced for solving the magnetoencephalography (MEG) inverse problem. The STS approach assumes that events of int...
Andrew K. Bolstad, Barry D. Van Veen, Robert D. No...