In statistics, an expectation–maximization (EM) algorithm is an iterative method for finding maximum likelihood or maximum a posteriori (MAP… (More)

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2013

2013

We present a noise-injected version of the Expectation-Maximization (EM) algorithm: the Noisy Expectation Maximization (NEM… (More)

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2010

Highly Cited

2010

- Iuliana F. Iatan
- 2010 International Conference on Networking and…
- 2010

There are some situations when in the pattern recognition applications can appear some objects which are missing data. This thing… (More)

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2004

Highly Cited

2004

The expectation-maximization (EM) method can facilitate maximizing likelihood functions that arise in statistical estimation… (More)

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Review

2002

Review

2002

- Frank Dellaert
- 2002

This note represents my attempt at explaining the EM algorithm (Hartley, 1958; Dempster et al., 1977; McLachlan and Krishnan… (More)

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2002

Highly Cited

2002

- Chad Carson, Serge J. Belongie, Hayit Greenspan, Jitendra Malik
- IEEE Trans. Pattern Anal. Mach. Intell.
- 2002

Retrieving images from large and varied collections using image content as a key is a challenging and important problem. We… (More)

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2001

Highly Cited

2001

- Yongyue Zhang, Michael Brady, Stephen M. Smith
- IEEE Transactions on Medical Imaging
- 2001

The finite mixture (FM) model is the most commonly used model for statistical segmentation of brain magnetic resonance (MR… (More)

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1995

Highly Cited

1995

- Timothy L. Bailey, Charles Elkan
- Machine Learning
- 1995

The MEME algorithm extends the expectation maximization (EM) algorithm for identifying motifs in unaligned biopolymer sequences… (More)

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1994

Highly Cited

1994

- Jeffrey A. Fessler, Alfred O. Hero
- IEEE Trans. Signal Processing
- 1994

The expectation-maximization (EM) method can facilitate maximizing likelihood functions that arise in statistical estimation… (More)

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1994

Highly Cited

1994

The algorithm described in this paper discovers one or more motifs in a collection of DNA or protein se quences by using the… (More)

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1991

Highly Cited

1991

- Costas N. Georghiades, Donald L. Snyder
- IEEE Trans. Communications
- 1991

The expectation-maximization (EM) algorithm for maximizing likelihood functions, combined with the Viterbi algorithm, is applied… (More)

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