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## Mathematics of the atlas
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## Overview
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Given a family of objects, the atlas model proposes to learn a **template shape** which corresponds to a **mean of the objects**, as well as to compute a low number of **coordinates for each object** from this template shape. A complete description of the mathematics of the deterministic atlas is given on the [LDDMM](LDDMM) page, including its loss function.
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Given a family of objects, the atlas model proposes to learn a **template shape** which corresponds to a **mean of the objects**, as well as to compute a low number of **coordinates for each object** from this template shape. A complete description of the mathematics of the deterministic atlas is given on the [LDDMM](1_lddmm) page, including its loss function.
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The figure below describes the deterministic atlas model.
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## The configuration
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## Filling the xml files
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We need to configure the three different xml files: `model.xml`, `data_set.xml`, `optimization_parameters.xml`. We will follow this and run the example in `examples/atlas/landmark/2d/skulls`.
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We need to configure the three different xml files: `model.xml`, `data_set.xml`, `optimization_parameters.xml`. We follow here the `examples/atlas/landmark/2d/skulls` example.
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### The `model.xml` file
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