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» An Adaptable and Extensible Geometry Kernel
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COMPIMAGE
2010
Springer
14 years 1 months ago
Curvature Estimation for Discrete Curves Based on Auto-adaptive Masks of Convolution
We propose a method that we call auto-adaptive convolution which extends the classical notion of convolution in pictures analysis to function analysis on a discrete set. We define...
Christophe Fiorio, Christian Mercat, Fréd&e...
RT
1995
Springer
13 years 10 months ago
Reconstruction of Illumination from Area Luminaires
This paper is concerned with the e cient reconstruction of illumination from area luminaires. We outline a 2-pass scheme a lightpass, tracing ray bundles from the luminaires follow...
Steven Collins
CSDA
2007
101views more  CSDA 2007»
13 years 6 months ago
The evaluation of evidence for exponentially distributed data
At present, likelihood ratios for two-level models are determined with the use of a normal kernel estimation procedure when the between-group distribution is thought to be non-nor...
C. G. G. Aitken, Qiang Shen, Richard Jensen, B. Ha...
ICCV
2003
IEEE
14 years 8 months ago
Improved Fast Gauss Transform and Efficient Kernel Density Estimation
Evaluating sums of multivariate Gaussians is a common computational task in computer vision and pattern recognition, including in the general and powerful kernel density estimatio...
Changjiang Yang, Ramani Duraiswami, Nail A. Gumero...
BMCBI
2010
150views more  BMCBI 2010»
13 years 4 months ago
Kernel based methods for accelerated failure time model with ultra-high dimensional data
Background: Most genomic data have ultra-high dimensions with more than 10,000 genes (probes). Regularization methods with L1 and Lp penalty have been extensively studied in survi...
Zhenqiu Liu, Dechang Chen, Ming Tan, Feng Jiang, R...