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 8

2011 Conference Paper

Model-Based Clustering of Inhomogeneous Paired Comparison Data

Ludwig M. Busse, Joachim M. Buhmann,

First International Workshop on Similarity-Based Pattern Recognition (SIMBAD 2011), 7005

Research Collection

2011 Conference Paper

Information Theoretic Model Selection for Pattern Analysis

Joachim M. Buhmann, Morteza Haghir Chehreghani, Mario Frank, Andreas Peter Streich,

Workshop on Unsupervised and Transfer Learning 2011,

DOI: 10.3929/ethz-a-006611809      Research Collection

Mathematical Aspects Of Information Theory Unsupervised Learning Maximum Entropy Pattern Recognition (artificial Intelligence) Approximation Capacity Mustererkennung (künstliche Intelligenz) Mathematische Aspekte Der Informationstheorie Data Clustering Information Theory Model Selection
2011 Conference Paper

Context Sensitive Information

Joachim M. Buhmann,

Third Mexican Conference on Pattern Recognition (MCPR 2011), 6718

Research Collection

2011 Conference Paper

Approximate Sorting of Preference Data

Ludwig M. Busse, Morteza Haghir Chehreghani, Joachim M. Buhmann,

NIPS Workshop on Choice Models and Preference Learning (NIPS 2011),

Research Collection

2010 Conference Paper

Towards weakly supervised semantic segmentation by means of multiple instance and multitask learning

A. Vezhnevets, Joachim M. Buhmann,

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010,

Research Collection

2010 Conference Paper

The Binormal Assumption on Precision-Recall Curves

Kay H Brodersen, Cheng Soon Ong, Klaas Stephan, Joachim M. Buhmann,

20th International Conference on Pattern Recognition (ICPR 2010),

Research Collection

Classification Performance False Discovery Rate Generalizability Information Retrieval Receiver Operating Characteristic
2010 Conference Paper

The Balanced Accuracy and Its Posterior Distribution

Kay H Brodersen, Cheng Soon Ong, Klaas Stephan, Joachim M. Buhmann,

20th International Conference on Pattern Recognition (ICPR 2010),

Research Collection

Bias Class Imbalance Classification Performance Generalizability
2010 Conference Paper

Speech Enhancement with Sparse Coding in Learned Dictionaries

Christian D. Sigg, Tomas Dikk, Joachim M. Buhmann,

35th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2010),

Research Collection

Dictionary Learning Source Separation Sparse Coding Speech Enhancement
2010 Conference Paper

Sound Field Indicators for Hearing Activity and Reverberation Time Estimation in Hearing Instruments

Andreas P. Streich, Manuela Feilner, Alfred Stirnemann, Joachim M. Buhmann,

128th Audio Engineering Society Convention 2010 (AES London 2010),

Research Collection

2010 Conference Paper

Regularized online learning of pseudometrics

Y. Moh, Joachim M. Buhmann,

2010 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP),

Research Collection

Online Learning Pseudometric Regularization