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<p class="MsoNormal"><span lang="EN-US" style="font-size:14.0pt">Welcome to Machine Learning Seminar on Friday, August 30 at 10:15 in Alan Turing<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><b><span lang="EN-GB" style="font-size:16.0pt;color:black">Anomaly detection in videos<br>
</span></b><b><span style="font-size:16.0pt;color:black"><a href="https://vbn.aau.dk/en/persons/nema"><span lang="EN-GB">Neelu Madan</span></a></span></b><b><span lang="EN-GB" style="font-size:16.0pt;color:black">, Department of Architecture, Design and Media
Technology, Aalborg University<o:p></o:p></span></b></p>
<p class="MsoNormal"><b><span lang="EN-GB" style="font-size:16.0pt;color:black"><o:p> </o:p></span></b></p>
<p class="MsoNormal"><i><span lang="EN-US">Abstract:</span></i><span lang="EN-US">
</span><span lang="EN-GB">Anomaly detection addresses the challenge of identifying actions and events that significantly deviate from normal patterns. This field has a wide range of applications, from detecting defects in industrial inspection processes to
identifying abnormal growths such as cancerous tumors in medical diagnostics, and recognizing unusual incidents in visual surveillance systems. Despite its vast practical relevance, anomaly detection remains a challenging problem, largely due to the vague
and context-dependent nature of anomaly definitions. Given the challenges associated with the data labeling, many recent solutions lean towards unsupervised, self-supervised, and semi-supervised learning.<o:p></o:p></span></p>
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<p class="MsoNormal"><span lang="EN-US">Location: <b>Alan Turing,</b> <a href="https://www.ida.liu.se/department/location/search.en.shtml?keyword=alan">
https://www.ida.liu.se/department/location/search.en.shtml?keyword=alan</a><o:p></o:p></span></p>
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<p class="MsoNormal"><span lang="EN-US">------------------<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US"> <o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">The list of future seminars in the series is available at:
</span><a href="http://www.ida.liu.se/research/machinelearning/seminars/" target="_BLANK2"><span lang="EN-US">http://www.ida.liu.se/research/machinelearning/seminars/</span></a><span lang="EN-US"><o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">You can subscribe to the seminar series' calendar using this ics link:
<a href="https://outlook.office365.com/owa/calendar/4d811ae47ce446f58d11a7c2f50a7ed8@ad.liu.se/0f5253d7bc7841248c71eb4c28eb2d668927992292494627279/calendar.ics" target="_BLANK2">
https://outlook.office365.com/owa/calendar/4d811ae47ce446f58d11a7c2f50a7ed8@ad.liu.se/0f5253d7bc7841248c71eb4c28eb2d668927992292494627279/calendar.ics</a><o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US"> <o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
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