Results 181 to 190 of about 12,171 (220)

Application of GCV in Geophysical Diffraction Tomography

69th EAGE Conference and Exhibition incorporating SPE EUROPEC 2007, 2007
P032 Application of GCV in Geophysical Diffraction Tomography E. Santos (CEFET/BA and Stanford University) & A. Bassrei* (Federal University of Bahia) SUMMARY Since inverse problems are usually ill-posed it is necessary to use some method to reduce their deficiencies. The method that we choose is the regularization by derivative matrices.
A. Bassrei, E. Santos
openaire   +1 more source

Surface fitting using GCV smoothing splines on supercomputers

Proceedings of the 1995 ACM/IEEE conference on Supercomputing (CDROM) - Supercomputing '95, 1995
The task of fitting smoothing spline surfaces to meteorological data such as temperature or rainfall observations is computationally intensive. The Generalized Cross Validation (GCV) smoothing algorithm is O(n 3) computationally, and memory requirements are O(n 2).
Williams Alan, Burrage Kevin
openaire   +2 more sources

BM3D denoising based on minimum GCV score

2015 International Conference on Computers, Communications, and Systems (ICCCS), 2015
Block-matching and 3D filtering(BM3D) is an effective denoising approach introduced by Dabov et al. which utilizes 3D transform collaborative filtering on small similar patches extracted from the image corrupted by additive white Gaussian noise. However, when it comes to blind filtering, the denoising performance will worsen rapidly.
Shan, Shanshan, Li, Yuehua, Zhu, Shujin
openaire   +2 more sources

GCV (Great Cardiac Vein) PVC

2021
LV summit PVCs are not infrequent and sometimes could be ablated via coronary sinus in the great cardiac vein.
openaire   +1 more source

A Novel Gcv-Based Criterion for Parameter Selection In Image Deconvolution

2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018
A proper selection of regularization parameter is essential for regularization-based image deconvolution. The main contribution of this paper is to propose a new form of generalized cross validation (GCV) as a criterion for this optimal selection. Incorporating a nil-trace non-linear estimate, we develop this new GCV based on Stein's unbiased risk ...
Feng Xue 0005, Thierry Blu, Jiaqi Liu, Xia Ai   +3 more
openaire   +1 more source

A novel GCV-based criterion for parametric PSF estimation

2014 12th International Conference on Signal Processing (ICSP), 2014
We propose a generalized cross validation (GCV) as a novel criterion for estimating a point spread function (PSF) from the degraded image only. The PSF is obtained by minimizing this new objective functional over a family of Wiener processings. Based on this estimated PSF, we then perform deconvolution using our recently developed SURE-LET algorithm ...
Feng Xue, Jiaqi Liu, Zhifeng Li, Gang Meng   +3 more
openaire   +1 more source

A GCV based method for nonlinear ill-posed problems

Computational Geosciences, 2000
The authors deal with the solution of the nonlinear ill-posed equation \(F(m)=b\), where \(F:\mathbb{R}^M \to\mathbb{R}^N\) is a differentiable operator with \(M >N\), and right-hand side \(b\) is noisy. Let \(\phi(\beta, m)=\|F(m)-b\|^2+ \beta \|W(m-m_{\text{ref}}) \|^2\) be the Tikhonov functional of the problem.
Haber, Eldad, Oldenburg, Douglas
openaire   +2 more sources

Influence of the Bystander Effect on HSV-tk / GCV Gene Therapy. A Review.

Current Gene Therapy, 2002
Despite the development of new therapeutic strategies, cancer remains incurable in most patients with advanced disease. A recent potential improvement in therapeutic strategies is the concept of suicide gene therapy. After transfection with a suicide gene, cells can convert a harmless prodrug into its toxic metabolite, resulting in selective ...
van Dillen, Ingrid J, Mulder, Nanno H, Vaalburg, Willem, de Vries, Erik F J, Hospers, Geke A P   +4 more
openaire   +3 more sources

A family of risk estimators as criteria for psf estimation: From sureto GCV

2017 IEEE International Conference on Image Processing (ICIP), 2017
Stein's unbiased risk estimate (SURE) has been proven as a valid criterion for PSF (point spread function) estimation [1], which is essential to blind image deconvolution. In this paper, we develop a family of risk estimators as the criteria for blur identification. We first provide a direct proof of the validity of SURE.
Feng Xue, Lian Xue, Jiaqi Liu
openaire   +1 more source

A Study on Wear Properties of GCV Material with DLC Coating

Applied Mechanics and Materials, 2013
Compacted vermicular (CV) graphitization cast iron is the name given to graphitization cast iron where the shape of the graphite looks like a vermicular. Castability and the thermal conductivity of CV graphitization cast iron is similar to those of Grey iron, while the strength of CV graphitization cast iron is similar to that of ductile iron. The thin
Ki Woo Nam, Soo Chul Lee
openaire   +1 more source