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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.
2010
2010
The expectation-maximization algorithm: Gaussian case
  • I. Iatan
  • International Conference on Networking and…
  • 2010
  • Corpus ID: 6763393
There are some situations when in the pattern recognition applications can appear some objects which are missing data. This thing… 
Highly Cited
2009
Highly Cited
2009
Sum-Rate Maximization for Two-Way MIMO Amplify-and-Forward Relaying Systems
This paper considers two-way relaying systems with a multiple-input multiple-output (MIMO) relay between two MIMO terminal nodes… 
Highly Cited
2008
Highly Cited
2008
Accepted for publication in The Astronomical Journal Preprint typeset using L ATEX style emulateapj v. 10/09/06 CLEAN KINEMATIC SAMPLES IN DWARF SPHEROIDALS: AN ALGORITHM FOR EVALUATING MEMBERSHIP…
  • 2008
  • Corpus ID: 15002005
Highly Cited
2008
Highly Cited
2008
Better Alignments = Better Translations?
Automatic word alignment is a key step in training statistical machine translation systems. Despite much recent work on word… 
Highly Cited
2007
Highly Cited
2007
Comparison of Large Margin Training to Other Discriminative Methods for Phonetic Recognition by Hidden Markov Models
In this paper we compare three frameworks for discriminative training of continuous-density hidden Markov models (CD-HMMs… 
Highly Cited
2003
Highly Cited
2003
On the performance of graph-based scheduling algorithms for packet radio networks
  • A. BehzadI. Rubin
  • GLOBECOM '03. IEEE Global Telecommunications…
  • 2003
  • Corpus ID: 28126241
Many published algorithms used for scheduling transmissions in packet radio networks are based on finding maximal independent… 
Highly Cited
2002
Highly Cited
2002
Estimation of wavefield power distribution in the remotely sensed environment: Bayesian maximum entropy approach
The problem of estimating, from one random realization of the remotely sensed signal, the spatial spectrum pattern (SSP) of the… 
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
1997
Highly Cited
1997
The role of linear semi-infinite programming in signal-adapted QMF bank design
We consider the problem of designing a perfect-reconstruction, FIR, quadrature-mirror filter (QMF) bank (H, G) adapted to input… 
Highly Cited
1989
Highly Cited
1989
The value of food: effects of open and closed economies
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