Teuber T. Using penalized spline, generalized additive model and mixed model regression techniques to examine univariate and multivariate time series and in particular business cycles.
Teuber, Timo
core
Computationally Efficient Continuous-Time Model Predictive Control of a 2-DOF Helicopter via B-Spline Parameterization. [PDF]
Rohaľ-Ilkiv B, Gulan M, Minarčík P.
europepmc +1 more source
A new approach for lofted B-spline surface approximation to scanned data
This paper addresses the problem of B-spline surface approximation to rows of points by B-spline surface lofting. Lofting is a well known surface create technique and has been used in CAD and CAGD.
Cheng XG(程仙国) +2 more
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Modeling and Analysis of a Conical Bridge-Type Displacement Amplification Mechanism Using the Non-Uniform Rational B-Spline Curve. [PDF]
Wang M, Zhang C, Liu S, Wang X.
europepmc +1 more source
A Unified Architecture for the computation of B-Spline Curves and Surfaces
B-Splines in general, and Non-Uniform Rational B-Splines in particular, have become indispensable modeling primitives in computer graphics and geometric modeling applications.
Meenakshisundaram Gopi +3 more
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Construction of complex non-uniform rational B-spline volume parametric models with G<sup>1</sup> continuity. [PDF]
Wang D, Chen L, Zhang J.
europepmc +1 more source
Cascading Affine and B-spline Registration Method for Large Deformation Registration of Lung X-rays. [PDF]
Chang Q, Lu C, Li M.
europepmc +1 more source
SPLINE FUNCTIONS: THEIR USE IN ESTIMATING NON-REVERSIBLE RESPONSE
The Objectives of this paper are: (1) to introduce the concept of spline functions; and (2) to account for complete and partial non-reversibility with spline functions. This paper illustrates this approach using a supply response example.Research Methods/
Groenewegen, John
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A useful and simple algorithm is presented for interactively generating B-spline interpolation curves and surfaces from B-spline approximation solutions. The difference between the data points and the B-spline approximation is used to modify the control
Hewgill, Denton E. +2 more
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Landmark matching and B-spline implicit neural representations for diffusion-weighted imaging distortion correction. [PDF]
Li Y, Liao YP, Dai Y, Deng J, Zhang Y.
europepmc +1 more source

