نتایج جستجو برای: smoothing

تعداد نتایج: 21313  

2002
Alan Grossfield Jay W. Ponder

A new potential smoothing method, the shifted-tophat (or stophat) is presented. This method uses a tophat function as the smoothing kernel, instead of the gaussian used in conventional methods. Stophat smoothing is applied, as part of the Potential Smoothing and Search (PSS) procedure for global optimization, to several biomolecular problems, including polyalanine helices, united-atom and all-a...

Journal: :Oper. Res. Lett. 2005
S. Ilker Birbil Shu-Cherng Fang J. B. G. Frenk Shuzhong Zhang

An alternative smoothing method for the high dimensional max function has been studied. The proposed method is a recursive extension of the two dimensional smoothing functions. In order to analyze the proposed method, a theoretical framework related to smoothing methods has been discussed. Moreover, we support our discussion by considering some application areas. This is followed by a compariso...

2013
Gang Mei John C. Tipper Nengxiong Xu

The Modified Direct Method (MDM) is an iterative mesh smoothing method for smoothing planar and surface meshes, which is developed from the non-iterative smoothing method originated by Balendran [1]. When smooth planar meshes, the performance of the MDM is effectively identical to that of Laplacian smoothing, for triangular and quadrilateral meshes; however, the MDM outperforms Laplacian smooth...

Journal: :NeuroImage 2000
J B Hopfinger C Büchel A P Holmes K J Friston

To assess the effect of various analysis parameters on the sensitivity of event-related fMRI analyses, 36 analyses were performed on a single fMRI data-set, varying parameters along four axes: (1) resampled voxel size; (2) spatial smoothing; (3) temporal smoothing; and (4) the set of basis functions used to model event-related responses. Sensitivity (i.e., the probability of detecting an activa...

2003
Yuzhong Shen Kenneth E. Barner

This paper proposes a novel approach for smoothing surfaces represented by triangular meshes. The proposed method is a two-step procedure: surface normal smoothing through fuzzy vector median (FVM) filtering followed by vertex position update based on the least square error criteria. This paper applies the fuzzy ordering theory to the vector based data and introduces the fuzzy vector median. Th...

2015
Amanda K. W. Buck Zhaohua Ding Christopher P. Elder Theodore F. Towse Bruce M. Damon Christophe Lenglet

PURPOSE To assess the effect of anisotropic smoothing on fiber tracking measures, including pennation angle, fiber tract length, and fiber tract number in the medial gastrocnemius (MG) muscle in healthy subjects using diffusion-weighted magnetic resonance imaging (DW-MRI). MATERIALS AND METHODS 3T DW-MRI data were used for muscle fiber tractography in the MG of healthy subjects. Anisotropic s...

2013
J. J. Casaletto John R. Rice

This paper discusses various aspects of the smoothing and estimation of derivatives of equispaced data. The background for least squares polynomial smoothing is summarized . The various alternatives for programs in a computing center ' s library are discussed and a part icular alternative is selected as most sui table. An algorithm named SMOOTH is given [in Fortran) which implements this al ter...

2006
Ragnar Bade Jens Haase Bernhard Preim

For diagnosis, intervention planning, and medical education it is common to extract surface models from clinical tomography data. Surface extraction suffers from various effects of medical imaging, segmentation, and surface extraction techniques which cause visual disturbing surface artifacts (e.g. stairs, plateaus). Basic mesh smoothing algorithms for such surface models are a common feature o...

Journal: :Journal of Multivariate Analysis 2001

Journal: :Illinois Journal of Mathematics 1957

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