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CSDA
2007
106views more  CSDA 2007»
13 years 7 months ago
Parsimonious additive models
A new method for function estimation and variable selection, specifically designed for additive models fitted by cubic splines is proposed.This new method involves regularizing ...
Marta Avalos, Yves Grandvalet, Christophe Ambroise
PAMI
2006
142views more  PAMI 2006»
13 years 7 months ago
Fingerprint Warping Using Ridge Curve Correspondences
The performance of a fingerprint matching system is affected by the nonlinear deformation introduced in the fingerprint impression during image acquisition. This nonlinear deformat...
Arun Ross, Sarat C. Dass, Anil K. Jain
TSP
2008
116views more  TSP 2008»
13 years 7 months ago
Nonideal Sampling and Regularization Theory
Shannon's sampling theory and its variants provide effective solutions to the problem of reconstructing a signal from its samples in some "shift-invariant" space, wh...
Sathish Ramani, Dimitri Van De Ville, Thierry Blu,...
CAGD
2011
13 years 2 months ago
Regularization of B-spline objects
By a d-dimensional B-spline object (denoted as Od ), we mean a B-spline curve (d = 1), a B-spline surface (d = 2) or a B-spline volume (d = 3). By regularization of a B-spline obj...
Guoliang Xu, Chandrajit L. Bajaj
MA
2010
Springer
150views Communications» more  MA 2010»
13 years 2 months ago
Cokriging for spatial functional data
This work proposes to generalize the method of cokriging when data are spatially sampled curves. A spatial functional linear model is constructed including spatial dependencies be...
David Nerini, Pascal Monestiez, Claude Manté...