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

Journal Article - page 7

2008 Journal Article

On Relevant Dimensions in Kernel Feature Spaces

Mikio L. Braun, Joachim M. Buhmann, Klaus-Robert Müller,

Journal of Machine Learning Research, 9

Research Collection

Kernel Methods Feature Space Dimension Reduction Effective Dimensionality
2008 Journal Article

Nonparametric Bayesian Image Segmentation

Peter Orbanz, Joachim M. Buhmann,

International Journal of Computer Vision, 77

DOI: 10.3929/ethz-b-000008237      Research Collection

Markov Random Fields Nonparametric Bayesian Methods Dirichlet Process Mixtures Image Segmentation Clustering Spatial Statistics Markov Chain Monte Carlo
2007 Journal Article

Robust image segmentation using resampling and shape constraints

Thomas Zöller, Joachim M. Buhmann,

IEEE Transactions on Pattern Analysis and Machine Intelligence, 29

Research Collection

Segmentation Mixture Models Shape Analysis Learning Resampling Generalization
2007 Journal Article

PepSplice

Franz F. Roos, Riko Jacob, Jonas Grossmann, Bernd Fischer, Joachim M. Buhmann, Wilhelm Gruissem, Sacha Baginsky, Peter Widmayer,

Bioinformatics, 23

DOI: 10.3929/ethz-b-000006797      Research Collection

2007 Journal Article

A workflow to increase the detection rate of proteins from unsequenced organisms in high-throughput proteomics experiments

Jonas Grossmann, Bernd Fischer, Katja Baerenfaller, Judith Owiti, Joachim M. Buhmann, Wilhelm Gruissem, Sacha Baginsky,

Proteomics, 7

Research Collection

De Novo Peptide Sequencing Error Tolerant Blast Searches Plant Proteomics Spectrum Quality Scoring
2006 Journal Article

On the information and representation of non-Euclidean pairwise data

Julian Laub, Volker Roth, Joachim M. Buhmann, Klaus-Robert Müller,

Pattern Recognition, 39

Research Collection

Non Euclidean Pairwise Data Embedding Visualization Multidimensional Scaling
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 Journal Article

Lernende Maschinen und die Suche nach künstlicher Intelligenz-2005

Joachim M. Buhmann,

IT Business, 4+5

Research Collection

2005 Journal Article

Image segmentation by networks of spiking neurons

Joachim M. Buhmann, Tilman Lange, Ulrich Ramacher,

Neural Computation, 17

Research Collection

2004 Journal Article

Stability-based validation of clustering solutions

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

Neural Computation, 16

Research Collection