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 19

2009 Conference Paper

A probabilistic approach to hybrid role mining

Mario Frank, Andreas P. Streich, David Basin, Joachim M. Buhmann,

16th ACM conference on Computer and communications security,

Research Collection

2008 Conference Paper

Weakly Supervised Cell Nuclei Detection and Segmentation on Tissue Microarrays of Renal Clear Cell Carcinoma

Thomas J. Fuchs, Tilman Lange, Peter J. Wild, Holger Moch, Joachim M. Buhmann,

30th DAGM Symposium on Pattern Recognition, 5096

Research Collection

2008 Conference Paper

Probabilistic Image Registration and Anomaly Detection by Nonlinear Warping-2008

Verena Kaynig, Bernd Fischer, Joachim M. Buhmann,

IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2008),

Research Collection

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
2008 Conference Paper

Music Preference Learning with Partial Information

Yvonne Moh, Peter Orbanz, Joachim M. Buhmann,

IEEE International Conference on Acoustics, Speech and Signal Processing, 2008 (ICASSP 2008),

Research Collection

Music Classification Online Learning Semi Supervised Learning
2008 Conference Paper

Kernel Expansion for Online Preference Tracking

Yvonne Moh, Joachim M. Buhmann,

9th International Conference on Music Information Retrieval,

Research Collection

2008 Conference Paper

Expectation-Maximization for Sparse and Non-Negative PCA

Christian D. Sigg, Joachim M. Buhmann,

25th International Conference on Machine Learning, 307

Research Collection

Algorithms Design Performance Theory
2008 Conference Paper

Computational Pathology Analysis of Tissue Microarrays Predicts Survival of Renal Clear Cell Carcinoma Patients

Thomas J. Fuchs, Peter J. Wild, Holger Moch, Joachim M. Buhmann,

11th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2008), 5242

Research Collection

2008 Conference Paper

Classification of Multi-Labeled Data

Andreas P. Streich, Joachim M. Buhmann,

European Conference ECML PKDD 2008, 5211-5212

Research Collection