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

Joint entropy

In information theory, joint entropy is a measure of the uncertainty associated with a set of variables.
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Software-defined networking (SDN) is a communication paradigm that brings cost efficiency and flexibility through software… Expand
  • figure 1
  • figure 2
  • table I
  • figure 3
  • table II
Is this relevant?
2017
2017
Symbolizations, the base of symbolic dynamic analysis, are classified as global static and local dynamic approaches which are… Expand
  • table I
  • figure 1
  • figure 3
  • figure 2
  • table II
Is this relevant?
2017
2017
Human activity monitoring in the video sequences is an intriguing computer vision domain which incorporates colossal applications… Expand
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
Highly Cited
2008
Highly Cited
2008
We developed a maximum a posterior (MAP) reconstruction method for PET image reconstruction incorporating MR image information… Expand
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
Highly Cited
2007
Highly Cited
2007
  • Johan Nuyts
  • IEEE Nuclear Science Symposium Conference Record
  • 2007
  • Corpus ID: 6407859
This paper studies the use of mutual information and joint entropy to define anatomical priors for maximum-a- posteriori (MAP… Expand
  • figure 1
  • figure 2
  • figure 4
  • figure 3
  • figure 5
Is this relevant?
Highly Cited
2004
Highly Cited
2004
For likelihood-based inference involving distributions in which high-dimensional dependencies are present it may be useful to use… Expand
  • figure 1
  • table 1
Is this relevant?
Highly Cited
1998
Highly Cited
1998
Given n discrete random variables /spl Omega/={X/sub 1/, /spl middot//spl middot//spl middot/, X/sub n/}, associated with any… Expand
Is this relevant?
Highly Cited
1995
Highly Cited
1995
For two-stage stochastic programs with integrality constraints in the second stage, we study continuity properties of the… Expand
Is this relevant?
Highly Cited
1994
Highly Cited
1994
Abstract In this paper, we present a new image thresholding technique which uses the relative entropy (also known as the Kullback… Expand
  • figure 2
  • figure 3
  • figure 4
  • figure 5
  • figure 6
Is this relevant?
Highly Cited
1990
Highly Cited
1990
SummaryWe compute the joint entropy ofd commuting automorphisms of a compact metrizable group. LetRd = ℤ[u1±1,...,[d1±1] be the… Expand
  • table 1
Is this relevant?