Expectation Maximization (EM): a Mini-Tutorial

By Bob Woodham

Expectation Maximization (EM) is used in many areas, including computational vision, to estimate parameters of probabilistic models.
This mini-tutorial examines:

1. How Expectation Maximization works (in theory) 2. How Expectation Maximization is used (in practice) 3. When is Expectation Maximization (or an approximation thereof)
the method of choice, compared to alternatives

The objective of the mini-tutorial is to broaden our collective understanding of algorithms based on EM.

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