Conditional mutual information

In probability theory, and in particular, information theory, the conditional mutual information is, in its most basic form, the expected value of… (More)
Wikipedia

Topic mentions per year

Topic mentions per year

1978-2018
010203019782018

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2015
2015
Local binary patterns of more bits extracted in a large structure have shown promising results in visual recognition applications… (More)
  • figure 1
  • figure 2
  • figure 3
  • table 1
  • table 2
Is this relevant?
2013
2013
We introduce the Conditional Mutual Information (CMI) for the estimation of the Markov chain order. For a Markov chain of K… (More)
  • table 1
  • table 2
  • table 3
  • table 4
  • figure 1
Is this relevant?
Highly Cited
2010
Highly Cited
2010
In this paper, a supervised feature selection approach is presented, which is based on metric applied on continuous and discrete… (More)
  • table 1
  • figure 1
  • figure 2
  • table 2
  • table 3
Is this relevant?
2010
2010
Maximization of mutual information (MMI) is a popular similarity measure for medical image registration. Although its accuracy… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 5
  • figure 4
Is this relevant?
2008
2008
The inference of gene regulatory network from expression data is an important area of research that provides insight to the inner… (More)
  • figure 1
  • table 1
  • figure 2
  • table 2
  • figure 3
Is this relevant?
2007
2007
We propose a sequential forward feature selection method to find a subset of features that are most relevant to the… (More)
  • figure 1
Is this relevant?
2005
2005
This paper proposes a novel approach for facial expression r ecognition by boosting Local Binary Patterns (LBP) based classifiers… (More)
  • figure 1
  • figure 3
  • table 1
  • figure 4
  • figure 5
Is this relevant?
Highly Cited
2004
Highly Cited
2004
We propose in this paper a very fast feature selection techni que based on conditional mutual information. By picking features… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
2004
2004
Feature selection is an important component of text categorization. This technique can both increase a classifier's computation… (More)
Is this relevant?
Highly Cited
1978
Highly Cited
1978
Shannon's mutual information for discrete random variables has been generalized to random ensembles by R. L. Dobrushin, M. S… (More)
Is this relevant?