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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
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
2010
Highly Cited
2010
Sequential cooperative sensing for multi-channel cognitive radios
sequential cooperative spectrum sensing algorithm is developed for multi-channel cognitive radio (CR) systems. Each CR quantizes… 
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
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
2005
Highly Cited
2005
EM-estimation and modeling of heavy-tailed processes with the multivariate normal inverse Gaussian distribution
Highly Cited
2004
Highly Cited
2004
Unsupervised classification of changes in multispectral satellite imagery
The statistical techniques of multivariate alteration detection, maximum autocorrelation factor transformation, expectation… 
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… 
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