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

Conference Paper - page 12

2007 Conference Paper

Learning the compositional nature of visual objects

Björn Ommer, Joachim M. Buhmann,

IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2007),

Research Collection

2007 Conference Paper

Kernel-based grouping of histogram data

Tilman Lange, Joachim M. Buhmann,

18th European Conference on Machine Learning (ECML 2007), 4701

Research Collection

2007 Conference Paper

Compositional object recognition, segmentation, and tracking in video

Björn Ommer, Joachim M. Buhmann,

6th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition, 4679

Research Collection

2007 Conference Paper

Cluster analysis of heterogeneous rank data-2007

Ludwig M. Busse, Peter Orbanz, Joachim M. Buhmann,

24th International Conference on Machine Learning (ICML 2007), 227

Research Collection

2007 Conference Paper

Bayesian order-adaptive clustering for video segmentation

Peter Orbanz, Samuel Braendle, Joachim M. Buhmann,

6th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR 2007), 4679

Research Collection

2006 Conference Paper

Smooth Image Segmentation by Nonparametric Bayesian Inference

Peter Orbanz, Joachim M. Buhmann,

9th European Conference on Computer Vision 2006 (ECCV 2006), 3951

Research Collection

2006 Conference Paper

Semi-supervised LC/MS alignment for differential proteomics

Bernd Fischer, Jonas Grossmann, Volker Roth, Wilhelm Gruissem, Sacha Baginsky, Joachim M. Buhmann,

14th Conference on Intelligent Systems for Molecular Biology 2006 (ISMB 2006), 22

DOI: 10.3929/ethz-b-000022631      Research Collection

2006 Conference Paper

Probabilistic De Novo Peptide Sequencing with Doubly Charged Ion

Hansruedi Peter, Bernd Fischer, Joachim M. Buhmann,

28th DAGM Symposium 2006, 4174

Research Collection

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