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Kernel density estimation

Known as: Kernel density estimate, Kernel density, Parzen Windows 
In statistics, kernel density estimation (KDE) is a non-parametric way to estimate the probability density function of a random variable. Kernel… 
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Related topics

Related topics

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AnalyticaApache SparkC++Cluster analysis

Broader (1)

Machine learning

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2013
Highly Cited
2013
Determination of Formation Organic Carbon Content Using a New Neutron-Induced Gamma Ray Spectroscopy Service that Directly Measures Carbon
Over the past few decades, many techniques have been developed for the log e valuation of organic-rich rocks (ORR). More recently… 
2010
2010
Online Discriminative Kernel Density Estimation
We propose a new method for online estimation of probabilistic discriminative models. The method is based on the recently… 
Highly Cited
2007
Highly Cited
2007
A multi-matcher for ear authentication
2007
2007
Geometric and photometric invariant distinctive regions detection
2006
2006
MAI-Free MC-CDMA Systems Based on Hadamard–Walsh Codes
It is known that multicarrier code-division multiple-access (MC-CDMA) systems suffer from multiaccess interference (MAI) when the… 
2005
2005
ABODE: Kernel home range estimation for ArcGIS, using VBA and ArcObjects
K Ke er rn ne el l H Ho om me e R Ra an ng ge e E Es st ti im ma at ti io on n f fo or r A Ar rc cG GI IS S, , u us si in ng g V… 
2005
2005
Evaluation of video quality based on objectively estimated metric
Multimedia applications and especially encoded video services, are expected to play a major role in the 3rd generation (3G) and… 
2000
2000
Broadband DOA estimation using "Spatial-Only" modeling of array data
Most of the existing techniques for DOA estimation of broadband sources use both spatial and temporal modeling. This may lead to… 
1998
1998
Facial Memory Is Kernel Density Estimation (Almost)
We compare the ability of three exemplar-based memory models, each using three different face stimulus representations, to… 
1995
1995
Identification of cubic systems using higher order moments of i.i.d. signals
A simple method for estimating the Volterra kernels of cubic systems with a zero-mean i.i.d. input is presented. This method… 
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