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Chi-squared target models
Known as:
Chi-Square Target Models
, Chi-squared
, Swerling Target Models
Swerling models were introduced by Peter Swerling and are used to describe the statistical properties of the radar cross-section of complex objects.
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2 relations
Broader (2)
Radar
Signal processing
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2013
2013
Small Sample Size Performance of the Energy Detector
L. Rugini
,
P. Banelli
,
G. Leus
IEEE Communications Letters
2013
Corpus ID: 6395415
We examine the small sample size performance of the energy detector for spectrum sensing in AWGN. By making use of the cube-of…
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2009
2009
A LRT framework for fast spatial anomaly detection
Mingxi Wu
,
Xiuyao Song
,
C. Jermaine
,
S. Ranka
,
J. Gums
Knowledge Discovery and Data Mining
2009
Corpus ID: 182948
Given a spatial data set placed on an n x n grid, our goal is to find the rectangular regions within which subsets of the data…
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Highly Cited
2006
Highly Cited
2006
Class Association Rule Mining with Chi-Squared Test Using Genetic Network Programming
K. Shimada
,
K. Hirasawa
,
Jinglu Hu
IEEE International Conference on Systems, Man and…
2006
Corpus ID: 3144327
An efficient algorithm for important class association rule mining using genetic network programming (GNP) is proposed. GNP is…
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Highly Cited
2005
Highly Cited
2005
Genetic Network Programming with Acquisition Mechanisms of Association Rules in Dense Database
K. Shimada
,
K. Hirasawa
,
Jinglu Hu
International Conference on Computational…
2005
Corpus ID: 8516559
A method of association rule mining using genetic network programming (GNP) is proposed to improve the performance of association…
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Review
2003
Review
2003
Classification of Emotions in Internet Chat: An Application of Machine Learning Using Speech Phonemes
Lars E. Holzman
,
W. Pottenger
2003
Corpus ID: 16807138
This article reports our progress in the classification of expressions of emotion in network-based chat conversations. Emotion…
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2000
2000
A note on "beyond market baskets: generalizing association rules to correlations"
K. M. Ahmed
,
Nagwa M. El-Makky
,
Y. Taha
SKDD
2000
Corpus ID: 5794027
In their paper [1], S. Brin, R. Matwani and C. Silverstien discussed measuring significance of (generalized) association rules…
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1999
1999
Edge Exclusion Tests for Graphical Gaussian Models
Peter J. Smith
,
J. Whittaker
Learning in Graphical Models
1999
Corpus ID: 123097221
Testing that an edge can be excluded from a graphical Gaussian model is an important step in model fitting and the form of the…
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Highly Cited
1993
Highly Cited
1993
Near-end crosstalk is almost Gaussian
K. Kerpez
IEEE Transactions on Communications
1993
Corpus ID: 31793328
Crosstalk from digital subscriber lines, high rate digital subscriber lines, and asymmetric digital subscriber lines is analyzed…
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1989
1989
SAFETY EFFECTS OF LEFT-TURN LANES ON URBAN FOUR-LANE ROADWAYS
P. Mccoy
,
M. Malone
1989
Corpus ID: 107314739
As part of research conducted to develop a more definitive guide for the selection of divided and undivided sections on urban…
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1985
1985
On the distribution of the studentized maximum of equally correlated normal random variables
S. Gupta
,
S. Panchapakesan
,
J. Sohn
1985
Corpus ID: 122430719
Let X1,…X,k have a joint k-variate normal distribution with zero means, common unknown varianceσ2and known correla- tion matrix…
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