Skip to search form
Skip to main content
Skip to account menu
Semantic Scholar
Semantic Scholar's Logo
Search 227,741,303 papers from all fields of science
Search
Sign In
Create Free Account
Kernel density estimation
Known as:
Kernel density estimate
, Kernel density
, Parzen Windows
Expand
In statistics, kernel density estimation (KDE) is a non-parametric way to estimate the probability density function of a random variable. Kernel…
Expand
Wikipedia
(opens in a new tab)
Create Alert
Alert
Related topics
Related topics
37 relations
Analytica
Apache Spark
C++
Cluster analysis
Expand
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
Jorge Gonzalez
,
Richard E. Lewis
,
J. Hemingway
,
J. Grau
,
Erik Rylander
,
R. Schmitt
2013
Corpus ID: 44736810
Over the past few decades, many techniques have been developed for the log e valuation of organic-rich rocks (ORR). More recently…
Expand
Highly Cited
2012
Highly Cited
2012
An affinity-based new local distance function and similarity measure for kNN algorithm
Gautam Bhattacharya
,
K. Ghosh
,
A. Chowdhury
Pattern Recognition Letters
2012
Corpus ID: 8801060
2010
2010
Online Discriminative Kernel Density Estimation
M. Kristan
,
A. Leonardis
International Conference on Pattern Recognition
2010
Corpus ID: 17733826
We propose a new method for online estimation of probabilistic discriminative models. The method is based on the recently…
Expand
Highly Cited
2010
Highly Cited
2010
Adaptive Noise Variance Estimation in BayesShrink
Masoud Hashemi
,
S. Beheshti
IEEE Signal Processing Letters
2010
Corpus ID: 12073316
A method of noise variance estimation in BayesShrink image denoising is presented. The proposed approach competes with the well…
Expand
Highly Cited
2010
Highly Cited
2010
Particle Swarm Optimization Aided Orthogonal Forward Regression for Unified Data Modeling
Sheng Chen
,
X. Hong
,
C. Harris
IEEE Transactions on Evolutionary Computation
2010
Corpus ID: 8785128
We propose a unified data modeling approach that is equally applicable to supervised regression and classification applications…
Expand
Highly Cited
2007
Highly Cited
2007
A multi-matcher for ear authentication
L. Nanni
,
A. Lumini
Pattern Recognition Letters
2007
Corpus ID: 918469
2006
2006
Towards Kernel Density Estimation over Streaming Data
Christoph Heinz
,
B. Seeger
International Conference on Management of Data
2006
Corpus ID: 617124
A variety of real-world applications heavily relies on the analysis of transient data streams. Due to the rigid processing…
Expand
2006
2006
MAI-Free MC-CDMA Systems Based on Hadamard–Walsh Codes
S. Tsai
,
Yuan-Pei Lin
,
C.-C. Jay Kuo
IEEE Transactions on Signal Processing
2006
Corpus ID: 8675500
It is known that multicarrier code-division multiple-access (MC-CDMA) systems suffer from multiaccess interference (MAI) when the…
Expand
Highly Cited
1992
Highly Cited
1992
Estimation of the directions of arrival of signals in unknown correlated noise. I. The MAP approach and its implementation
K. M. Wong
,
J. Reilly
,
Qiang Wu
,
S. Qiao
IEEE Transactions on Signal Processing
1992
Corpus ID: 206462203
The authors propose a method of direction of arrival (DOA) estimation of signals in the presence of noise whose covariance matrix…
Expand
1985
1985
Introduction to Kernel Density Estimation.
Wendy A. Winner
1985
Corpus ID: 109182413
Abstract : Kernel density estimators are one technique for producing nonparametric estimates of a sample's underlying probability…
Expand
By clicking accept or continuing to use the site, you agree to the terms outlined in our
Privacy Policy
(opens in a new tab)
,
Terms of Service
(opens in a new tab)
, and
Dataset License
(opens in a new tab)
ACCEPT & CONTINUE