Results 21 to 30 of about 169,517 (306)
Scientific Visualization Conference (dagstuhl '97), 1997 We describe an alternative way of constructing interpolating B-spline curves, surfaces or volumes in Fourier space which can be used for visualization. In our approach the interpolation problem is considered from a signal processing point of view and is reduced to finding an inverse B-spline filter sequence.
Gross, Markus, Kleiner, David
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Deriving Proper Uniform Priors for Regression Coefficients, Parts I, II, and III
Entropy, 2017 It is a relatively well-known fact that in problems of Bayesian model selection, improper priors should, in general, be avoided. In this paper we will derive and discuss a collection of four proper uniform priors which lie on an ascending scale of ...
H.R. Noel van Erp +2 more
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Computational Visual Media, 2017 Existing shape models with spherical topology are typically designed either in the discrete domain using interpolating polygon meshes or in the continuous domain using smooth but non-interpolating schemes such as subdivision or NURBS. Both polygon models
D. Schmitter +2 more
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Alzheimer’s & Dementia: Translational Research & Clinical Interventions, 2020 Introduction The frequently used Cox regression applies two critical assumptions, which might not hold for all predictors. In this study, the results from a Cox regression model (CM) and a generalized Cox regression model (GCM) are compared. Methods Data
Jantje Goerdten +2 more
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Quasi‐interpolation by splines on the uniform knot sets
Mathematical Modelling and Analysis, 2007 In the case of uniform grids, the error of the spline interpolant of a function defined on R has been well estimated. On the basis of the spline interpolation formula for functions defined on R we derive quasi‐interpolation formulae for functions defined
Evely Leetma
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Polynomial splines as examples of Chebyshevian splines [PDF]
Numerical Algorithms, 2012 Spaces of geometrically continuous (piecewise defined) functions are considered in this paper. Such functions in use for approximation purposes of all sorts may be piecewise polynomials or more generally coming from extended Chebyshev spaces. The latter are natural generalisations of polynomial spline structures.
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Frontiers in Artificial Intelligence, 2022 Understanding the learning dynamics and inductive bias of neural networks (NNs) is hindered by the opacity of the relationship between NN parameters and the function represented.
Justin Sahs +8 more
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Asymptotic theory of penalized splines
Electronic Journal of Statistics, 2019 : The paper gives a unified study of the large sample asymp- totic theory of penalized splines including the O -splines using B-splines and an integrated squared derivative penalty [22], the P -splines which use B-splines and a discrete difference penalty [
Luo Xiao
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L’epoca delle splines: geometrie e linee del progetto contemporaneo
Disegnare con, 2012 L’iconografia dell’architettura e del design di ogni epoca si caratterizza per l’uso di linee e di forme geometriche che vengono rese realizzabili dall’evoluzione dei materiali e delle tecniche costruttive, nonché dall’introduzione di particolari ...
Enrico Cicalò +3 more
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Frontiers in Genetics, 2019 Simultaneous profiling of biospecimens using different technological platforms enables the study of many data types, encompassing microbial communities, omics, and meta-omics as well as clinical or chemistry variables.
Antoine Bodein +3 more
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