The choice of knot vector has immense influence on the resulting accuracy of a B-spline
approximation of a curve. However, despite the significance of this problem and the various …

Recommender systems have been extensively used by the entertainment industry, business
marketing and the biomedical industry. In addition to its capacity of providing preference …

Curve fitting with splines is a fundamental problem in computer-aided design and
engineering. However, how to choose the number of knots and how to place the knots in …

B-spline representation of the dielectric functions provides many theoretical and practical
benefits for material modeling in spectroscopic ellipsometry. However, the number of knots …

This paper presents a novel approach for fitting experimental stopping power data to a
simple empirical formula. The unknown complex nonlinear stopping power function is …

Point clouds as measurements of 3D sensors have many applications in various fields such
as object modeling, environment mapping and surface representation. Storage and …

Learning density estimation is important in probabilistic modeling and reasoning with
uncertainty. Since B-spline basis functions are piecewise polynomials with local support …

Background Metabolic network models describing the biochemical reaction network and
material fluxes inside microorganisms open interesting routes for the model-based …

When aiming to improve the performance of industrial sports cars at the limits of driving
dynamics, the passive vehicle setup should be tuned under consideration of the actuator …

Determining the knot number and location is the most challenging problem in spline fitting.
In this paper, we proposed a two-stage framework for calculating knots in spline fitting based …