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Review

2019

Review

2019

A neuroscience method to understanding the brain is to find and study the preferred stimuli that highly activate an individual… Expand

Review

2018

Review

2018

Influence Maximization (IM), which selects a set of <inline-formula><tex-math notation="LaTeX">$k$</tex-math> <alternatives… Expand

Review

2018

Review

2018

Wireless energy harvesting (EH) is a promising solution to prolong lifetime of power-constrained networks such as military and… Expand

Review

2017

Review

2017

The present work provides an overview of technological measures to increase the self-sufficiency of wastewater treatment plants… Expand

Highly Cited

2010

Highly Cited

2010

In this paper we take a look at the Expectation Maximization algorithm and an example of its use in a real world applications.

Highly Cited

2002

Highly Cited

2002

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

Highly Cited

1996

Highly Cited

1996

A common task in signal processing is the estimation of the parameters of a probability distribution function. Perhaps the most… Expand

Highly Cited

1995

Highly Cited

1995

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

Highly Cited

1995

Highly Cited

1995

The maximum likelihood (ML) expectation maximization (EM) approach in emission tomography has been very popular in medical… Expand

Highly Cited

1994

Highly Cited

1994

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