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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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Papers overview

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2010
2010
  • I. Iatan
  • 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
This paper considers two-way relaying systems with a multiple-input multiple-output (MIMO) relay between two MIMO terminal nodes… 
Highly Cited
2009
Highly Cited
2009
Wireless systems equipped with distributed antennas can provide enhanced data throughput as well as improved signal quality when… 
Highly Cited
2008
Highly Cited
2008
Automatic word alignment is a key step in training statistical machine translation systems. Despite much recent work on word… 
Highly Cited
2003
Highly Cited
2003
  • A. BehzadI. Rubin
  • 2003
  • Corpus ID: 28126241
Many published algorithms used for scheduling transmissions in packet radio networks are based on finding maximal independent… 
Highly Cited
2001
Highly Cited
2001
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
1998
Highly Cited
1998
INTRODUCTION: Although there was a considerable reduction in infant mortality in Pelotas, Rio Grande do Sul in the last decade… 
Highly Cited
1997
Highly Cited
1997
We consider the problem of designing a perfect-reconstruction, FIR, quadrature-mirror filter (QMF) bank (H, G) adapted to input…