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2009 JUN 17 ... and target gradient fields within a spherical target region. This is achieved using regularization, in which the field error is minimized along with the total coil power, to obtain a 3-D ...
2009 AUG 10 ... was developed for robust myelin water quantification in the brain." "The regularization for the conventional NNLS algorithm was expanded into the spatial domain in addition to ...
2009 JUL 27 ... the standard BEM algorithm proves inaccurate and prohibitively expensive, we show that regularization of the near-wall electric field and an updating scheme commensurate with the ...
2009 JUL 14 ... of reconstruction of the spectral measure is very ill-posed and requires the use of regularization techniques. We apply the method to the effective electrical properties of cancellous ...
2009 NOV 26 ... To solve ill-posed problems, a statistical learning theory uses a principle called regularization. This paper proposes using a statistical learning method called support vector (SV) ...
2009 NOV 24 ... study from the United States, "In the Bayesian approach to ill-posed inverse problems, regularization is imposed by specifying a prior distribution on the parameters of interest and Markov ...
2009 JUL 14 ... in this small study group. After cross-linking, the corneal shape undergoes a process of regularization. This process is active during the first year after treatment and may continue," wrote ...
2009 MAY 26 ... minimization of a functional that is the sum of the Csiszar I-divergence and a regularization term. For the solution of this problem, we propose an iterative algorithm derived from a ...
2009 AUG 31 ... this scheme, an iterative Young's modulus reconstruction technique with edge-preserving regularization was developed to estimate the Young's modulus distribution. The method was tested in ...
2009 AUG 25 ... of radula motor patterns after contingent-reward training in vivo arises from a regularization and synchronization of burst discharge in the pattern-initiating cells through a ...
2009 NOV 23 ... technology, with a 0-10 ng/mL tPSA range." "Two ANN models with Bayesian regularization and leave-one-out validation using the 4 input parameters of tPSA, %fPSA, age, and ...
2009 SEP 14 ... tumor perfusion and decreased vascular permeability associated with thinning and regularization of tumor vessels while mildly affecting normal vessels as confirmed by histologic ...
2009 NOV 24 ... synthetic aperture radar (SAR) images suffer from a strong noise, and their regularization is often a prerequisite for successful use of their information. Independently of the ...
2009 OCT 5 ... by rapid, focal firing. GP ablations were associated with loss of focal firing and regularization of electrograms in both atria before termination," wrote G.D. Niu and colleagues, ...
2009 OCT 19 ... for parallel imaging data decreased by 34-42%, but could be significantly improved using regularization.. The normalized signal to noise loss in flyback EPSI data! was 11-18%. The effective ...
2009 JUN 15 ... of static assumption. In the epicardial potential-based inverse studies, the Tikhonov regularization method is used to handle ill-posedness of the ECC inverse problem. The simulation ...
2009 JUL 6 ... methods have been proposed, in particular block-circulant SVD (cSVD) and Tikhonov regularization (TIKH). Here we propose a new method based on nonlinear stochastic...
