Anomaly Detection

by Danfeng (Daphne) Yao (Author)

This book discusses and addresses anomaly detection in the context of artificial intelligence and machine learning advancements. The book demystifies the challenges and presents solutions for detecting and understanding network anomalies. Building on the existing literature, this thorough and timely work is an invaluable resource.

This thesis proposes machine learning methods for understanding scenes via behaviour analysis and online anomaly detection in video. The book introduces novel Bayesian topic models for detection of events that are different from typical activities and a novel framework for change point detection for identifying sudden behavioural changes.