The Prague Computer Science seminar series, coorganized by Department of Computer Science, presents:
Anomaly detection: A novel framework by Josef Kittler
Thursday, February 25, at 4 p.m. in Auditorium S5, MFF UK (Malostranské nám. 25, Praha 1).
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.
More about the lecturer:
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.