Anomaly is an important notion in the operation of both biological and engineering systems. The concept refers to events or situations which deviate from normality (usual observation, order, form or rule) and in this sense are considered anomalous.
Anomaly is an important notion in the operation of both biological and engineering systems. The concept refers to events or situations which deviate from normality (usual observation, order, form or rule) and in this sense are considered anomalous. Applications include intrusion detection in surveillance systems and communication networks, abnormality detection in medical diagnostics, novel class detection in pattern recognition, and out-of-vocabulary word detection in speech recognition, to mention just a few examples.
Anomaly is a very generic term, having many nuances, which are impossible to discern using simply the classical mathematical concept of anomaly as an outlier of a probability distribution. A recently proposed anomaly detection system architecture is presented and discussed. It includes several distinct mechanisms to detect anomalous events and facilitates their characterisation. In addition to the conventional process of distribution-outlier detection, the mechanisms include classifier incongruence detection, data quality assessment, classifier confidence gauging, and model-drift detection. The outputs of these processes feed into a reasoning engine, which draws conclusions about the presence of anomaly and its nature. The advocated approach to anomaly detection is illustrated on a number of applications.
Josef Kittler is professor of Machine Intelligence at the Centre for Vision, Speech and Signal Processing, University of Surrey. He received his BA, PhD and DSc degrees from the University of Cambridge. He teaches and conducts research in the subject area of Signal Processing and Machine Intelligence, with a focus on face biometrics, and anomaly detection. He published a Prentice Hall textbook on Pattern Recognition: A Statistical Approach and several edited volumes, as well as more than 700 scientific papers, including more than 180 journal papers. He serves on the Editorial Board of several scientific journals in Pattern Recognition and Computer Vision. He became Series Editor of Springer Lecture Notes on Computer Science in 2004. He served as President of the International Association for Pattern Recognition 1994-1996. He was elected Fellow of the Royal Academy of Engineering in 2000 and received honorary doctorates from the Czech Technical University in Prague and from the University of Lappeenranta. In 2006 he was awarded the KS Fu Prize from the International Association for Pattern Recognition, for outstanding contributions to pattern recognition. In 2008 he was awarded the IET Faraday Medal and in 2009 he became EURASIP Fellow.
Its program consists of a one-hour lecture followed by a discussion. The lecture is based on an (internationally) exceptional or remarkable achievement of the lecturer, presented in a way which is comprehensible and interesting to a broad computer science community. The lectures are in English.
The seminar is organized by the organizational committee consisting of Roman Barták (Charles University, Faculty of Mathematics and Physics), Jaroslav Hlinka (Czech Academy of Sciences, Computer Science Institute), Michal Chytil, Pavel Kordík (CTU in Prague, Faculty of Information Technologies), Michal Koucký (Charles University, Faculty of Mathematics and Physics), Jan Kybic (CTU in Prague, Faculty of Electrical Engineering), Michal Pěchouček (CTU in Prague, Faculty of Electrical Engineering), Jiří Sgall (Charles University, Faculty of Mathematics and Physics), Vojtěch Svátek (University of Economics, Faculty of Informatics and Statistics), Michal Šorel (Czech Academy of Sciences, Institute of Information Theory and Automation), Tomáš Werner (CTU in Prague, Faculty of Electrical Engineering), and Filip Železný (CTU in Prague, Faculty of Electrical Engineering)
The idea to organize this seminar emerged in discussions of the representatives of several research institutes on how to avoid the undesired fragmentation of the Czech computer science community.
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