Results 271 to 280 of about 4,333,581 (301)

Density estimation for dynamic volumes

Computers & Graphics, 2007
We propose a new approach to capture the volumetric density of dynamic scattering media instantaneously with a single image. The volume is probed with a set of laser lines and the scattered intensity is recorded by a conventional camera. We then determine the density along the laser lines taking the scattering properties of the media into account.
Christian Fuchs 0004, Tongbo Chen, Michael Goesele, Holger Theisel, Hans-Peter Seidel   +4 more
openaire   +2 more sources

Direct Density Derivative Estimation

Neural Computation, 2016
Estimating the derivatives of probability density functions is an essential step in statistical data analysis. A naive approach to estimate the derivatives is to first perform density estimation and then compute its derivatives. However, this approach can be unreliable because a good density estimator does not necessarily mean a good density derivative
Hiroaki Sasaki, Yung-Kyun Noh, Gang Niu 0001, Masashi Sugiyama   +3 more
openaire   +3 more sources

Autoregressive Conditional Density Estimation

International Economic Review, 1994
Summary: \textit{R. F. Engle's} ARCH model [Econometrica 50, 987-1007 (1982; Zbl 0491.62099)] is extended to permit parametric specifications for conditional dependence beyond the mean and variance. The suggestion is to model the conditional density with a small number of ``parameters'', and then model these parameters as functions of the conditioning ...
openaire   +1 more source

Pareto Density Estimation: A Density Estimation for Knowledge Discovery

2005
Pareto Density Estimation (PDE) as defined in this work is a method for the estimation of probability density functions using hyperspheres. The radius of the hyperspheres is derived from optimizing information while minimizing set size. It is shown, that PDE is a very good estimate for data containing clusters of Gaussian structure. The behavior of the
openaire   +1 more source

A Brief Survey of Bandwidth Selection for Density Estimation

Journal of the American Statistical Association, 1996
J S Marron
exaly   +2 more sources

Fast feature selection for interval-valued data through kernel density estimation entropy

International Journal of Machine Learning and Cybernetics, 2020
Jiaolong Chen, Jianhua Dai
exaly  

Biased and Unbiased Cross-Validation in Density Estimation

Journal of the American Statistical Association, 1987
George R Terrell
exaly  

Transformations in Density Estimation

Journal of the American Statistical Association, 1991
J S Marron, Matt Wand, D Ruppert
exaly  

Efficient adaptive density estimation per image pixel for the task of background subtraction

Pattern Recognition Letters, 2006
Ferdinand van der Heijden, Zoran Zivkovic   +1 more
exaly  

Kernel density estimation on Riemannian manifolds

Statistics and Probability Letters, 2005
Bruno Pelletier
exaly