Information Science and Engineering Lab

We perform teaching and research in machine learning strategies for the pattern analysis of various kinds of data. This comprises statistical models for clustering, graphical models for network inference and algorithmic methods to efficiently find these structures in the data.

Contact Info
CAB F 61.1
Universitaetstrasse 6,
8092 Zurich
Schweiz

+41 44 632 64 96

Learn More

Follow Us

Information Science and Engineering Lab

We perform teaching and research in machine learning strategies for the pattern analysis of various kinds of data. This comprises statistical models for clustering, graphical models for network inference and algorithmic methods to efficiently find these structures in the data.

Contact Info
CAB F 61.1
Universitaetstrasse 6,
8092 Zurich
Schweiz

+41 44 632 64 96

Learn More

Follow Us

Publications - page 22

2006 Conference Paper

Model Selection in Kernel Methods Based on a Spectral Analysis of Label Information

Mikio L. Braun, Tilman Lange, Joachim M. Buhmann,

28th DAGM Symposium 2006, 4174

Research Collection

2006 Conference Paper

Model Order Selection and Cue Combination for Image Segmentation

Andrew Rabinovich, Tilman Lange, Joachim M. Buhmann, Serge Belongie,

IEEE Conference on Computer Vision and Pattern Recognition 2006 (CVPR 2006),

Research Collection

2006 Conference Paper

Learning Top-Down Grouping of Compositional Hierarchies for Recognition

Björn Ommer, Michael Sauter, Joachim M. Buhmann,

IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2006 (CVPR 2006),

Research Collection

2006 Conference Paper

Learning Compositional Categorization Models

Björn Ommer, Joachim M. Buhmann,

9th European Conference on Computer Vision 2006 (ECCV 2006), 3953

Research Collection

2006 Conference Paper

Fusion of Similarity Data in Clustering

Tilman Lange, Joachim M. Buhmann,

19th Annual Conference on Neural Information Processing Systems (NIPS 2005),

Research Collection

2006 Conference Paper

Dense Stereo by Triangular Meshing and Cross Validation

Peter Wey, Bernd Fischer, Herbert Bay, Joachim M. Buhmann,

28th DAGM Symposium 2006, 4174

Research Collection

2005 Conference Paper

SAR images as mixtures of Gaussian mixtures

Peter Orbanz, Joachim M. Buhmann,

IEEE International Conference on Image Processing (ICIP 2005), 2

Research Collection

2005 Conference Paper

Object categorization by compositional graphical models

Björn Ommer, Joachim M. Buhmann,

5th International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition, 3757

Research Collection

2005 Journal Article

NovoHMM

Bernd Fischer, Volker Roth, Franz Roos, Jonas Grossmann, Sacha Baginsky, Peter Widmayer, Wilhelm Gruissem, Joachim M. Buhmann,

Analytical Chemistry, 77

Research Collection

2005 Report

Nonparametric Bayesian Image Segmentation-2005

Peter Orbanz, Joachim M. Buhmann,

Technical Report / ETH Zurich, Department of Computer Science, 496

DOI: 10.3929/ethz-a-006788002      Research Collection

Mathematical Image Processing Computer Vision + Scene Understanding (artificial Intelligence) Bayesian Theory (probability Theory) Computervision (künstliche Intelligenz) Mathematische Bildverarbeitung Bayessche Theorie (wahrscheinlichkeitsrechnung)