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Kernel Density Estimation

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

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Broader (1)

Spatial Analysis

Papers overview

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2018
2018
Measurement Data Classification Optimization Based on a Novel Evolutionary Kernel Clustering Algorithm for Multi-Target Tracking
In the field of range-based multi-target localization and tracking, measurement data of each time cannot associate with its… 
2017
2017
Inter-nesting movements and habitat-use of adult female Kemp’s ridley turtles in the Gulf of Mexico
Species vulnerability is increased when individuals congregate in restricted areas for breeding; yet, breeding habitats are not… 
2017
2017
SVM with Gaussian kernel-based image spam detection on textual features
With the growth of the internet and the increasing importance of emails in our daily lives, spams have become a common phenomenon… 
2014
2014
Fast Gaussian kernel learning for classification tasks based on specially structured global optimization
2014
2014
Static Gesture Recognition Combining Graph and Appearance Features
In this paper we propose the combination of graph- based characteristics and appearance-based descriptors such as detected edges… 
Highly Cited
2010
Highly Cited
2010
Surface-from-Gradients without Discrete Integrability Enforcement: A Gaussian Kernel Approach
Representative surface reconstruction algorithms taking a gradient field as input enforce the integrability constraint in a… 
2009
2009
Bayberry (Myrica rubra Sieb. et Zucc.) kernel : A new protein source
Review
2007
Review
2007
Poverty Analysis Based on Kernel Density Estimates from Grouped Data
Kernel density estimation (KDE) has been prominently used to measure poverty from grouped data (representing mean incomes of a… 
2005
2005
New heuristic for determination Gaussian kernels parameter
For SVM using Gaussian kernel, it was known that parameter /spl sigma/ changing from infinity to zero corresponds SVM model… 
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… 
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