ELLIIT Focus period on Machine Learning for Climate Science

We are organizing the ELLIIT Focus Period on Machine Learning for Climate Science which features several reserch seminars by visiting scholars during the period September 23 - October 25. For this reason there will be fewer regular ML seminars than usual during the semester. Please check the seminar schedule on the Focus period webpage.

Friday, August 30, 10:15, 2024

Anomaly detection in videos
Neelu Madan, Department of Architecture, Design and Media Technology, Aalborg University
Abstract: 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.
Location: Alan Turing
Organizer: Fredrik Lindsten

Past Seminars

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The seminars are typically held every fourth Wednesday at 15.15-16.15 in Alan Turing.
For further information, or if you want to be notified about the seminars by e-mail, please contact Fredrik Lindsten.