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» Orthogonal Series Density Estimation and the Kernel Eigenval...
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PG
2000
IEEE
13 years 11 months ago
A New Adaptive Density Estimator for Particle-Tracing Radiosity
Inparticle-tracing radiosityalgorithms, energy-carrying particles are traced through an environmentfor simulating global illumination. Illumination on a surface is reconstructed f...
Wong Kam Wah
IJCNN
2007
IEEE
14 years 1 months ago
Probability Density Function Estimation Using Orthogonal Forward Regression
— Using the classical Parzen window estimate as the target function, the kernel density estimation is formulated as a regression problem and the orthogonal forward regression tec...
Sheng Chen, Xia Hong, Chris J. Harris
CG
2005
Springer
13 years 7 months ago
Adaptive density estimation using an orthogonal series for global illumination
In Monte-Carlo photon-tracing methods energy-carrying particles are traced in an environment to generate hit points on object surfaces for simulating global illumination. The surf...
Kam Wah Wong, Wenping Wang
TSMC
2010
13 years 2 months ago
Probability Density Estimation With Tunable Kernels Using Orthogonal Forward Regression
A generalized or tunable-kernel model is proposed for probability density function estimation based on an orthogonal forward regression procedure. Each stage of the density estimat...
Sheng Chen, Xia Hong, Chris J. Harris