Local smoothing
“Nonparametric Local Smoothing” is not image registration
... Nonparametric Local Smoothing (NLS) for image registration, but use image similarities alone as a measure of registration performance, although these measures do not relate reliably to the realism of the ...
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2019_Li.pdf
... equation) with a sharp algebraic loss. In [15], the authors considered a family of rotationally symmetric, asymptotically Euclidean manifolds with two trapped sets, one of which is unstable and one of which is semistable ...
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Smoothing Parameter Selection for Nonparametric Regression Using Smoothing Spline
... of smoothing parameter (or penalty pa- rameter) through Monte Carlo simulation ...study. Smoothing parameters play a crucial role in this ...of smoothing parameter overfit the data, whereas too high ...
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Gretel, A Computer Program for Gamma Ray Spectrometry with Ge (Li) Detectors EUR 5117
... The computer routines which detect and evaluate peak areas perform the following operations: — local smoothing of the spectrum; — first derivative of the smoothed spectrum; — peak locati[r] ...
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Muckerman_unc_0153D_18101.pdf
... on local smoothing in the presence of trapped sets, including [Bur04], [Chr07], [Chr08], [Chr11], [Dat09], [CW13], [CM14], and ...full local smoothing effect of 1/2 does not hold, there are ...
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Removal of Artifacts Based on Weighted Guided Filtering For Digital Video Quality Enhancement
... that local filtering-based edge preserving smoothing techniques suffer from halo ...artifacts. Local filter cannot preserve sharp edges when compared to global ...when local filters adopt to ...
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Local Corner Smoothing Transition Algorithm Based on Double Cubic NURBS for Five-axis Linear Tool Path
... The local smoothing means that a smooth curve satisfying the predefined error constraint was inserted at the corner of two adjacent linear segments to realize the smoothness and continuity of the linear ...
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Removal of Artifacts Based on Weighted Guided Image Filtering For Improving Visual Quality of an Image
... and local filtering techniques. Local filtering-based edge preserving smoothing techniques suffer from halo ...and local smoothing filters in the sense that: 1) the complexity of the ...
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Specification Testing of Production Frontier Function in Stochastic Frontier Model
... Though SF models has been widely used in economics, finance, and other areas for very long period, a formal specification testing procedure for the production frontier function has not been developed. Thus, we propose ...
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Local Space Time Smoothing for Version Controlled Documents
... The task of analyzing and visualizing version con- trolled document is an important one. It allows external control and monitoring of collaboratively authored resources such as Wikipedia, Google Wave, and CVS or SVN ...
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Title: A REVIEW ARTICLE ON NAIVE BAYES CLASSIFIER WITH VARIOUS SMOOTHING TECHNIQUES
... applying smoothing techniques. In the IIIrd section, various smoothing methods when applied on Naïve Byes are discussed and their performances are ...
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Phantom : a smoothed particle hydrodynamics and magnetohydrodynamics code for astrophysics
... Achieving formal convergence in SPH is more com- plicated than in mesh-based codes where linear consis- tency is guaranteed (see Price, 2012a). The best that can be achieved with regular (positive, symmetric) ker- nels ...
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Criteria for Weighted Moving Mean Method
... Regarding the smoothed window length, within a certain range, the more points which participate in moving-mean, the better the trend function. Howev- er, in case the window length is too long, the trend function may tend ...
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The Automatic Meccano Method to Mesh Complex Solids
... Abstract —In this paper, we present significant ad- vances of the novel meccano technique to construct adaptive tetrahedral meshes of 3-D complex solids. Specifically, we will consider a solid whose bound- ary is a ...
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Continuous Chain Ladder: Reformulating and generalizing a classical insurance problem
... dx ≤ m, and the sieves estimator would be a first degree polynomial smoothing spline (see for example Fan and Gijbels 1996 for a description of smoothing regression splines). England and Verrall (2001) ex- ...
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A. Intensity Constrained Flat Kernel filter as a
... functions in both spatial and intensity domains not only increases the speed of computation without loosing the essence of edge preserving smoothing, but also suggests a filter generation scheme, versatile enough ...
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MATHEMATICAL MORPHOLOGY BASED CHARACTERIZATION OF BINARY IMAGE
... the smoothing pattern of image will be to have smaller disjoint dilation asymmetry sets as ite- rations of multiscale smoothing ...multiscale smoothing of X by expansion in terms of zonal rings ...
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pp x y zrepresents the pressure,
... Extensive analysis of the solution to Stokes equations can be found in literature due to their wide range of applications [1], [2], [6] and [8]. In particular, the multigrid performance for Stokes equations has been a ...
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Univariate Time Series Analysis of Second Hand Car Importation in Zambia
... Exponential Smoothing (ES) and Autoregressive Inte- grated Moving Average (ARIMA) ...various smoothing techniques discussed include: The Simple Exponential Smoothing (SES) which is applied when the ...
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Smoothing error pitfalls
... estimated smoothing errors (in terms of vari- ances/covariances) at 24, 25 and 26 km altitude: the smoothing er- rors on the fine grid estimated by Gaussian error estimation (red) are largest at 25 km, an ...
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