Skip to search formSkip to main content
You are currently offline. Some features of the site may not work correctly.

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… Expand
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2019
Review
2019
We review probabilistic constellation shaping (PCS), which has been a key enabler for several recent record-setting optical fiber… Expand
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
Highly Cited
2015
Highly Cited
2015
The application of machine learning models such as support vector machine (SVM) and artificial neural networks (ANN) in… Expand
  • figure 1
  • table I
  • figure 2
  • table II
  • figure 3
Is this relevant?
Highly Cited
2005
Highly Cited
2005
  • H. Hirschmuller
  • IEEE Computer Society Conference on Computer…
  • 2005
  • Corpus ID: 203671952
This paper considers the objectives of accurate stereo matching, especially at object boundaries, robustness against recording or… Expand
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
Highly Cited
2005
Highly Cited
2005
This paper deals with arbitrarily distributed finite-power input signals observed through an additive Gaussian noise channel. It… Expand
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
Highly Cited
2004
Highly Cited
2004
  • P. Viola, W. Wells
  • International Journal of Computer Vision
  • 2004
  • Corpus ID: 2499926
A new information-theoretic approach is presented for finding the pose of an object in an image. The technique does not require… Expand
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
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… Expand
Is this relevant?
Highly Cited
2003
Highly Cited
2003
We present a method for learning discriminative feature transforms using as criterion the mutual information between class labels… Expand
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • table 1
Is this relevant?
Highly Cited
1996
Highly Cited
1996
Mutual information of image intensities has been proposed as a new matching criterion for automated multi-modality image… Expand
  • figure 1
  • table 1
  • table 2
  • table 3
  • figure 2
Is this relevant?
Highly Cited
1989
Highly Cited
1989
The term word association is used in a very particular sense in the psycholinguistic literature. (Generally speaking, subjects… Expand
  • figure 2
Is this relevant?
Highly Cited
1986
Highly Cited
1986
A method for estimating the parameters of hidden Markov models of speech is described. Parameter values are chosen to maximize… Expand
  • table 1
Is this relevant?