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» On Unbiased Linear Approximations
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IVC
2007
102views more  IVC 2007»
14 years 9 months ago
Analysis of the rubberband algorithm
We consider simple cube-curves in the orthogonal 3D grid of cells. The union of all cells contained in such a curve (also called the tube of this curve) is a polyhedrally bounded s...
Fajie Li, Reinhard Klette
TMI
2008
136views more  TMI 2008»
14 years 9 months ago
Classification of fMRI Time Series in a Low-Dimensional Subspace With a Spatial Prior
We propose a new method for detecting activation in functional magnetic resonance imaging (fMRI) data. We project the fMRI time series on a low-dimensional subspace spanned by wave...
François G. Meyer, Xilin Shen
TNN
2008
182views more  TNN 2008»
14 years 9 months ago
Large-Scale Maximum Margin Discriminant Analysis Using Core Vector Machines
Abstract--Large-margin methods, such as support vector machines (SVMs), have been very successful in classification problems. Recently, maximum margin discriminant analysis (MMDA) ...
Ivor Wai-Hung Tsang, András Kocsor, James T...
CAGD
2005
86views more  CAGD 2005»
14 years 9 months ago
A variational approach to spline curves on surfaces
Given an m-dimensional surface in Rn , we characterize parametric curves in , which interpolate or approximate a sequence of given points pi and minimize a given energy functio...
Helmut Pottmann, Michael Hofer
JOI
2007
60views more  JOI 2007»
14 years 9 months ago
On the h-index, the size of the Hirsch core and Jin's A-index
Hirsch’s h-index seeks to give a single number that in some sense summarizes an author’s research output and its impact. Essentially, the h-index seeks to identify the most pr...
Quentin L. Burrell