Mutual information

Known as: Average Mutual Information, Transinformation, Mutual entropy 
In probability theory and information theory, the mutual information (MI) of two random variables is a measure of the mutual dependence between the… (More)
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Papers overview

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Review
2017
Review
2017
We review the most recent advanced concepts and methods employed in the cutting-edge spectrally efficient coherent fiber-optic… (More)
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Highly Cited
2015
Highly Cited
2015
The application of machine learning models such as support vector machine (SVM) and artificial neural networks (ANN) in… (More)
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Highly Cited
2009
Highly Cited
2009
A filter method of feature selection based on mutual information, called normalized mutual information feature selection (NMIFS… (More)
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Highly Cited
2008
Highly Cited
2008
This paper describes the semiglobal matching (SGM) stereo method. It uses a pixelwise, mutual information (Ml)-based matching… (More)
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Highly Cited
2005
Highly Cited
2005
Feature selection is an important problem for pattern classification systems. We study how to select good features according to… (More)
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Highly Cited
2003
Highly Cited
2003
We present some new results on the nonparametric estimation of entropy and mutual information. First, we use an exact local… (More)
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Highly Cited
2003
Highly Cited
2003
We present a method for learning discriminative feature transforms using as criterion the mutual information between class labels… (More)
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Highly Cited
2002
Highly Cited
2002
Mutual information is a good indicator of relevance between variables, and have been used as a measure in several feature… (More)
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Highly Cited
2000
Highly Cited
2000
Mutual information has developed into an accurate measure for rigid and affine monomodality and multimodality image registration… (More)
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Highly Cited
1989
Highly Cited
1989
The term word assaciation is used in a very particular sense in the psycholinguistic literature. (Generally speaking, subjects… (More)
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