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JMLR
2010
145views more  JMLR 2010»
14 years 4 months ago
Kernel Partial Least Squares is Universally Consistent
We prove the statistical consistency of kernel Partial Least Squares Regression applied to a bounded regression learning problem on a reproducing kernel Hilbert space. Partial Lea...
Gilles Blanchard, Nicole Krämer
ISBI
2004
IEEE
15 years 10 months ago
Cortical Surface Flattening Using Least Square Conformal Mapping with Minimal Metric Distortion
Although flattening a cortical surface necessarily introduces metric distortion due to the non-constant Gaussian curvature of the surface, the Riemann Mapping Theorem states that ...
Lili Ju, Josh Stern, Kelly Rehm, Kirt Schaper, Dav...
SCALESPACE
2007
Springer
15 years 3 months ago
Bounds on the Minimizers of (nonconvex) Regularized Least-Squares
This is a theoretical study on the minimizers of cost-functions composed of an ℓ2 data-fidelity term and a possibly nonsmooth or nonconvex regularization term acting on the di...
Mila Nikolova
VLBV
2005
Springer
15 years 3 months ago
Efficient Digital Pre-filtering for Least-Squares Linear Approximation
In this paper we propose a very simple FIR pre-filter based method for near optimal least-squares linear approximation of discrete time signals. A digital pre-processing filter,...
Marco Dalai, Riccardo Leonardi, Pierangelo Miglior...
ICRA
2003
IEEE
210views Robotics» more  ICRA 2003»
15 years 2 months ago
A truncated least squares approach to the detection of specular highlights in color images
— One of the most difficult aspects of dealing with illumination effects in computer vision is accounting for specularity in the images of real objects. The specular regions in ...
Jae Byung Park, Avinash C. Kak