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CSDA
2007
105views more  CSDA 2007»
14 years 11 months ago
Calculation of simplicial depth estimators for polynomial regression with applications
A fast algorithm for calculating the simplicial depth of a single parameter vector of a polynomial regression model is derived. Additionally, an algorithm for calculating the para...
R. Wellmann, S. Katina, Ch. H. Müller
IJCNN
2008
IEEE
15 years 6 months ago
Sparse kernel density estimator using orthogonal regression based on D-Optimality experimental design
— A novel sparse kernel density estimator is derived based on a regression approach, which selects a very small subset of significant kernels by means of the D-optimality experi...
Sheng Chen, Xia Hong, Chris J. Harris
ICCV
1998
IEEE
16 years 1 months ago
Thresholding for Change Detection
Image differencing is used for many applications involving change detection. Although it is usually followed by a thresholding operation to isolate regions of change there are few...
Paul L. Rosin
ISBI
2011
IEEE
14 years 3 months ago
Boosting power to detect genetic associations in imaging using multi-locus, genome-wide scans and ridge regression
Most algorithms used for imaging genetics examine statistical effects of each individual genetic variant, one at a time. We developed a new approach, based on ridge regression, to...
Omid Kohannim, Derrek P. Hibar, Jason L. Stein, Ne...
97
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IDEAL
2004
Springer
15 years 5 months ago
Kernel Density Construction Using Orthogonal Forward Regression
Abstract— The paper presents an efficient construction algorithm for obtaining sparse kernel density estimates based on a regression approach that directly optimizes model gener...
Sheng Chen, Xia Hong, Chris J. Harris