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<h1>Practical Assignments - Day 5</h1>
<h2><span style="font-size:16px;">Friday 12th December: 13:30 - 17:30.</span></h2>
<h3><span style="font-size:16px;"><span style="color:#B22222;">Throughout your assignments there are questions marked in red. The answers to these questions must be submitted to complete the practical. Please write you answers to the questions in a word document (or other application and generate a pdf) with the title of the assignment included above your answers.</span></span></h3>
<p><span style="font-size:16px;"><strong><em>Assignments</em></strong> - Complete all sections.</span></p>
<p><span style="font-size:16px;">1) <a href="https://weblearn.ox.ac.uk/access/content/group/mplsdoc/Modules/2014/Michaelmas%20Term/Week%208%20-%20Foundations%20of%20Image%20Analysis/data/day5_machineLearning/2014_Features-day05b.html">Exercise investigating feature description</a></span></p>
<p><span style="font-size:16px;"> Allow around 30 minutes for this.</span></p>
<p style="font-size: 13px; width: 554.390625px; line-height: 20.7999992370605px;"><span style="font-size: 16px;">2) </span><a href="https://weblearn.ox.ac.uk/access/content/group/mplsdoc/Modules/2014/Michaelmas%20Term/Week%208%20-%20Foundations%20of%20Image%20Analysis/data/day5_machineLearning/2014_Features-day05.html" style="font-size: 16px; line-height: 25.6000003814697px;">Exercises using feature detection</a> </p>
<p style="font-size: 13px; width: 554.390625px; line-height: 20.7999992370605px;"><span style="font-size: 16px;"> Allow around 30 minutes for this.</span></p>
<p><span style="font-size: 16px; line-height: 1.6;">3) </span><a href="https://weblearn.ox.ac.uk/access/content/group/mplsdoc/Modules/2014/Michaelmas%20Term/Week%208%20-%20Foundations%20of%20Image%20Analysis/data/day5_machineLearning/2014_MachineLearningFeatures-day05.html" style="font-size: 16px; line-height: 1.6;">Interactive machine learning demo</a></p>
<p><span style="font-size:16px;"><span style="color: rgb(0, 0, 128); line-height: 22.3999996185303px;"> This practical is based on microscopy images and using machine learning to segment the cells in a widefield image. Allow around 2 hours for this.</span></span></p>
<h4> </h4>