Kernel Density Estimation

Known as: Estimation, Kernel Density, Kernel Density Estimations, Estimations, Kernel Density 
 
National Institutes of Health

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Spatial Analysis

Papers overview

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2016
2016
Articulated and Generalized Gaussian Kernel Correlation for Human Pose Estimation
In this paper, we propose an articulated and generalized Gaussian kernel correlation (GKC)-based framework for human pose… (More)
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2015
2015
Rigorous home range estimation with movement data: a new autocorrelated kernel density estimator.
Quantifying animals' home ranges is a key problem in ecology and has important conservation and wildlife management applications… (More)
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Highly Cited
2009
Highly Cited
2009
3D Model Retrieval Using Probability Density-Based Shape Descriptors
We address content-based retrieval of complete 3D object models by a probabilistic generative description of local shape… (More)
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2009
2009
Kernel density estimation with geographically masked points
Geographic masking displaces points to hide their identities. It has been used in health-related studies to protect patients… (More)
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Highly Cited
2006
Highly Cited
2006
Effects of sampling regime on the mean and variance of home range size estimates.
1. Although the home range is a fundamental ecological concept, there is considerable debate over how it is best measured. There… (More)
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2005
2005
Empirical Testing of Fast Kernel Density Estimation Algorithms
  • Dustin Lang Mike Klaas
  • 2005
We present results of experiments testing the Fast Gauss Transform, Improved Fast Gauss Transform, and Dual-Tree methods (using… (More)
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2004
2004
Insights on Fast Kernel Density Estimation Algorithms
We present results of experiments testing the Fast Gauss Transform, Improved Fast Gauss Transform, and Dual-Tree methods (using… (More)
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Highly Cited
2003
Highly Cited
2003
Averaging kernels for DOAS total-column satellite retrievals
The Differential Optical Absorption Spectroscopy (DOAS) method is used extensively to retrieve total column amounts of trace… (More)
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Highly Cited
2003
Highly Cited
2003
Determination of the spread parameter in the Gaussian kernel for classification and regression
Based on statistical learning theory, Support Vector Machine (SVM) is a novel type of learning machine, and it contains… (More)
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2000
2000
Functional Volumes Modeling using Kernel Density Estimation
Introduction We describe a method based on kernel density estimation (also called Parzen window density estimation) for… (More)
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