Joachim M. Buhmann
homepage:http://www.ml.inf.ethz.ch/people/professors/jbuhmann/index
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Description

Joachim M. Buhmann leads the group of “Pattern Recognition and Machine Learning” in the Department of Computer Science at ETH Zurich. He has been a full professor of Information Science and Engineering (Informatik) since October 2003.

Born in 1959 in Friedrichshafen, Germany, he studied Physics at the Technical University Munich and obtained his PhD in Theoretical Biophysics with Professor Klaus Schulten. His doctoral thesis was about pattern recognition in neural networks. He then spent three years as a research assistant and assistant professor at the University of Southern California, Los Angeles. He spent 1991 at the Lawrence Livermore National Laboratory in California. He held the chair of practical Computer Science (praktische Informatik) at the University of Bonn, Germany from 1992 to 2003.

His research interests spans the areas of pattern recognition and data analysis, including machine learning, statistical learning theory and applied statistics. Application areas of his research include image analysis, remote sensing and bioinformatics. He has been in the technical committee of the German Pattern Recognition Society (Deutschen Arbeitsgemeinschaft für Mustererkennung) since 1995, including serving on the board during 2000-2003. He is associate editor for IEEE Transactions on Neural Networks and IEEE Transactions on Image Processing.


Lectures:

invited talk
flag Information Theoretic Model Validation by Approximate Optimization
as author at  Discrete Optimization in Machine Learning,
421 views
  panel
flag Is non-(geo)metricity an issue for machine learning?
as author at  27th International Conference on Machine Learning (ICML), Haifa 2010,
together with: Shai Ben-David, Edwin Hancock, Alexander J. Smola,
229 views
lecture
flag Information Theoretic Model Selection in Clustering
as author at  Clustering,
382 views
  lecture
flag Cluster stability and robust optimization
as author at  Workshop on Stability and Resampling Methods for Clustering, Tübingen 2007,
560 views
lecture
flag Learning issues in image segmentation
as author at  Workshop on Pattern Recognition and Machine Learning in Computer Vision, Grenoble 2004,
3187 views