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Multivariate kernel density estimation

Kernel density estimation is a nonparametric technique for density estimation i.e., estimation of probability density functions, which is one of the… 
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Papers overview

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2017
2017
From a mobility perspective, walking is considered to be the most sustainable transport mode. One of the consequences of motor… 
2011
2011
This paper extends maximum entropy estimation of discrete probability distributions to the continuous case. This transition leads… 
2011
2011
In this paper, we introduce a 3D mesh denoising method based on kernel density estimation. The proposed approach is able to… 
2008
2008
Object detection is an important basis for tracking and recognition in visual surveillance systems via stationary cameras. The… 
2007
2007
Minimal invasive catheter-guided interventions play an important role in most hospitals all over the world. During the treatment… 
2006
2006
Massive data sets are becoming popular in this information era. Due to the limitation of computer memory space and the computing… 
2005
2005
Abstract.Statistical learning is emerging as a promising field where a number of algorithms from machine learning are interpreted… 
2001
2001
A great deal of research has focused on improving the bias properties of kernel estimators. One proposal involves removing the… 
1998
1998
SUMMARY Multivariate kernel density estimation is often used as the basis for a nonparametric classification technique. However…