Optimization by Vector Space Methods
Optimization by Vector Space Methods
Generalized smoothing splines and the optimal discretization of the Wiener filter
IEEE Transactions on Signal Processing
Optimal control, statistics and path planning
Mathematical and Computer Modelling: An International Journal
Contour reconstruction using recursive smoothing splines - Algorithms and experimental validation
Robotics and Autonomous Systems
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans - Special section: Best papers from the 2007 biometrics: Theory, applications, and systems (BTAS 07) conference
Brief paper: Fast computation of smoothing splines subject to equality constraints
Automatica (Journal of IFAC)
Intraventricular dyssynchrony assessment using regional contraction from LV motion models
FIMH'13 Proceedings of the 7th international conference on Functional Imaging and Modeling of the Heart
Hi-index | 22.15 |
Periodic smoothing splines appear for example as generators of closed, planar curves, and in this paper they are constructed using a controlled two point boundary value problem in order to generate the desired spline function. The procedure is based on minimum norm problems in Hilbert spaces and a suitable Hilbert space is defined together with a corresponding linear affine variety that captures the constraints. The optimization is then reduced to the computationally stable problem of finding the point in the constraint variety closest to the data points.