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Expectation–maximization algorithm

Known as: Expectation Maximization, EM clustering, Expectation maximization method 
In statistics, an expectation–maximization (EM) algorithm is an iterative method for finding maximum likelihood or maximum a posteriori (MAP… 
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Related topics

Related topics

41 relations
Bayesian networkBitext word alignmentCluster analysisComputational anatomy

Broader (2)

Estimation theoryMissing data

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2011
2011
Localized Multiple Kernel Learning for Realistic Human Action Recognition in Videos
Realistic human action recognition in videos has been a useful yet challenging task. Video shots of same actions may present huge… 
Highly Cited
2010
Highly Cited
2010
Stability analysis for cognitive radio with multi-access primary transmission
This letter analyzes the impact, from a network-layer perspective, of having a single cognitive radio transmitter-receiver pair… 
Highly Cited
2001
Highly Cited
2001
The Hand Mouse: GMM hand-color classification and mean shift tracking
This paper describes an algorithm to detect and track a hand in each image taken by a wearable camera. We primarily use color… 
Highly Cited
2000
Highly Cited
2000
Markov chain Monte Carlo data association for target tracking
We consider the estimation of the state of a discrete-time Markov process using observations which are sets of measurements from… 
Highly Cited
2000
Highly Cited
2000
Border-Block Triangular Form and Conjunction Schedule in Image Computation
Conjunction scheduling in image computation consists of clustering the parts of a transition relation and ordering the clusters… 
1999
1999
Nonsymmetrical contrasts for sources separation
In this paper, the problem of the blind separation of independent sources is considered. Our approach relies on high-order… 
Highly Cited
1998
Highly Cited
1998
Maximizing sets and fuzzy Markoff algorithms
  • L. Zadeh
  • IEEE Trans. Syst. Man Cybern. Part C
  • 1998
  • Corpus ID: 9314136
A fuzzy algorithm is an ordered set of fuzzy instructions that upon execution yield an approximate solution to a given problem… 
Highly Cited
1994
Highly Cited
1994
A comparison of transform and iterative reconstruction techniques for a volume-imaging PET scanner with a large axial acceptance angle
The authors present the results of comparing 3D transform and iterative reconstruction methods with measured PET data from the… 
Highly Cited
1992
Highly Cited
1992
Electron microscopy at 1-Å resolution by entropy maximization and likelihood ranking
The resolution of electron microscopy may be extended by combining the phase information in microscope images with electron… 
Highly Cited
1982
Highly Cited
1982
The application of decision theory to contingency selection
This paper presents the theory and method for systematically finding the performance index (PI) which is used in Automatic…