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Smoothing spline

Known as: Regression spline, Smoothing splines, Spline regression 
(For a broader coverage related to this topic, see Spline (mathematics).) The smoothing spline is a method of fitting a smooth curve to a set of… 
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Related topics

Related topics

19 relations
AdaBoostAnimation:MasterBackfitting algorithmCurve fitting

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2010
2010
N4ITK: Improved N3 bias correction with robust B-spline approximation
A variant of the popular non-parametric non-uniform intensity normalization (N3) algorithm is proposed for bias field correction… 
2007
2007
Robust Eye Detection from Facial Image based on Multi-cue Facial Information
Eyes are one of the most important facial features and eyes detection is a crucial aspect in many useful applications. Although… 
2006
2006
Trends in Abundance of Australian Sea Lions, Neophoca cinerea, at Seal Bay, Kangaroo Island, South Australia
Pups of the Australian sea lion have been counted at Seal Bay for 20 pupping seasons, 1973-74 to 2002-03. Temporal changes in… 
2005
2005
Causes and solutions of overshoot and undershoot and end swing in Hilbert-Huang transform
There are overshoot and undershoot phenomenon and end swing phenomenon in the cubic spline fitting in Hilbert-Huang transform… 
2004
2004
Confidence Intervals for Smoothing Splines
Bootstrap confidence intervals for smoothing spline estimates based on Gaussian data are constructed and compared to the commonly… 
2003
2003
Using multivariate adaptive regression splines (MARS) in pavement roughness prediction
The paper presents the application of a new statistical technique, multivariate adaptive regression splines (MARS), to a flexible… 
Highly Cited
2001
Highly Cited
2001
Capturing outline of fonts using genetic algorithm and splines
In order to obtain a good spline model from large measurement data, we frequently have to deal with knots as variables, which… 
2001
2001
Optimal control, statistics and path planning
1991
1991
Discretized Laplacian Smoothing by Fourier Methods
Abstract An approach to multidimensional smoothing is introduced that is based on a penalized likelihood with a modified… 
Highly Cited
1990
Highly Cited
1990
Cubic spline fitting using data dependent triangulations
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