ICDAR2009

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IAPR/ICDAR Award Lecture: Graph-based Representations in Document Analysis
Speaker: Horst Bunke	Institute of Computer Science and Applied Mathematics University of Bern, Switzerland
Abstract: Graph representation is a powerful formalism that has found widespread applications in science and engineering. Particularly in the field of document analysis, graphs have been used very successfully. Examples include layout analysis, graphics recognition, machine printed character recognition, and handwriting recognition. In this talk we first review some of these applications. Then we report novel approaches to classification, clustering, and related tasks based on graph representations. We will discuss in particular graph kernels and graph embedding in vector spaces and show how they can be used in document analysis.

Biography: Horst Bunke is a professor of Computer Science at the University of Bern, Switzerland. He served as the 1st Vice- and the Acting President of the International Association for Pattern Recognition (IAPR) in 1998 – 2000. He is a Fellow of the IAPR, former Editor-in-Charge of the International Journal of Pattern Recognition and Artificial Intelligence, Editor-in-Chief of the journal Electronic Letters of Computer Vision and Image Analysis, Editor-in-Chief of the book series on Machine Perception and Artificial Intelligence by World Scientific Publ. Co., Advisory Editor of Pattern Recognition, and an Associate Editor of several other journals. He received an honorary doctor degree from the University of Szeged, Hungary, and held visiting positions at many institutions world wide. Horst Bunke has been working in the fields of Computational Intelligence, Pattern Recognition and Machine Learning for more than thirty years. He has more than 600 publications, including 40 authored, co-authored, edited or co-edited books and special editions of journals.