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» L1 Spline Methods for Scattered Data Interpolation and Appro...
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PAMI
2010
225views more  PAMI 2010»
13 years 2 months ago
Semi-Supervised Classification via Local Spline Regression
Abstract--This paper presents local spline regression for semisupervised classification. The core idea in our approach is to introduce splines developed in Sobolev space to map the...
Shiming Xiang, Feiping Nie, Changshui Zhang
NA
2007
120views more  NA 2007»
13 years 6 months ago
On choosing "optimal" shape parameters for RBF approximation
Many radial basis function (RBF) methods contain a free shape parameter that plays an important role for the accuracy of the method. In most papers the authors end up choosing this...
Gregory E. Fasshauer, Jack G. Zhang
ICCS
2007
Springer
13 years 11 months ago
Efficient Implementation of an Optimal Interpolator for Large Spatial Data Sets
Abstract. Interpolating scattered data points is a problem of wide ranging interest. One of the most popular interpolation methods in geostatistics is ordinary kriging. The price f...
Nargess Memarsadeghi, David M. Mount
ICIP
2006
IEEE
14 years 9 months ago
Efficient Reconstruction of Hexagonally Sampled Data using Three-Directional Box-Splines
Three-directional box-splines are particularly well-suited to interpolate and approximate hexagonally sampled data. In this paper, we propose a computationally efficient end-toend...
Laurent Condat, Dimitri Van De Ville, Michael Unse...
ICIP
1999
IEEE
13 years 11 months ago
Compensation of Unidirectional Geometric Distortion in EPI Using Spline Warping
Due to magnetic field inhomogeneities, EPI images are geometrically distorted, predominantly along the phase-encoding direction. Currently, the distortion is either ignored or com...
Jan Kybic, Philippe Thévenaz, Michael Unser