[IDA ML Seminar] Machine Learning Seminar, 30/8 at 10:15: Neelu Madan, "Anomaly detection in videos"

[Fredrik Lindsten]

Welcome to Machine Learning Seminar on Friday, August 30 at 10:15 in Alan Turing

Anomaly detection in videos
Neelu Madan<https://vbn.aau.dk/en/persons/nema>, 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, https://www.ida.liu.se/department/location/search.en.shtml?keyword=alan

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