Smoothing (statistical technique)

Known as: Smoothed, Smoothing 
The process by which a data set is simplified to reduce irregularities.
National Institutes of Health

Related topics

Related topics

1 relation

Broader (1)

Statistical Technique

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2017
Review
2017
Simultaneous untangling and smoothing of tetrahedral meshes on distributed-memory parallel computers
Freitag, Jones, and Plassmann (1999) devised a programming strategy on distributed-memory parallel computers for numerical… (More)
  • figure 2
  • figure 1
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
Highly Cited
2009
Highly Cited
2009
Threshold-free cluster enhancement: Addressing problems of smoothing, threshold dependence and localisation in cluster inference
Many image enhancement and thresholding techniques make use of spatial neighbourhood information to boost belief in extended… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
Highly Cited
2005
Highly Cited
2005
VERY HIGH RESOLUTION INTERPOLATED CLIMATE SURFACES FOR GLOBAL LAND AREAS
We developed interpolated climate surfaces for global land areas (excluding Antarctica) at a spatial resolution of 30 arc s… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • table I
Is this relevant?
Highly Cited
2005
Highly Cited
2005
Smoothing Noisy Data with Spline Functions *
I t is shown how to choose the smoothing parameter when a smoothing periodic spline of degree 2m -1 is used to reconstruct a… (More)
Is this relevant?
Highly Cited
2001
Highly Cited
2001
Discrete Differential-Geometry Operators for Triangulated 2-Manifolds
This paper proposes a unified and consistent set of flexible tools to approximate important geometric attributes, including… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
Review
2000
Review
2000
Voxel-Based Morphometry—The Methods
At its simplest, voxel-based morphometry (VBM) involves a voxel-wise comparison of the local concentration of gray matter between… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
Highly Cited
1998
Highly Cited
1998
A Practical Guide to Wavelet Analysis
A practical step-by-step guide to wavelet analysis is given, with examples taken from time series of the El Niño– Southern… (More)
  • figure 1
  • figure 2
  • table 1
  • figure 3
  • table 2
Is this relevant?
Highly Cited
1992
Highly Cited
1992
Adapting to Unknown Smoothness via Wavelet Shrinkage
We attempt to recover a function of unknown smoothness from noisy, sampled data. We introduce a procedure, SureShrink, which… (More)
Is this relevant?
Highly Cited
1992
Highly Cited
1992
Smoothing reference centile curves: the LMS method and penalized likelihood.
Refence centile curves show the distribution of a measurement as it changes according to some covariate, often age. The LMS… (More)
Is this relevant?
Highly Cited
1985
Highly Cited
1985
Adaptive Noise Smoothing Filter for Images with Signal-Dependent Noise
In this paper, we consider the restoration of images with signal-dependent noise. The filter is noise smoothing and adapts to… (More)
Is this relevant?