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 4

2015 Conference Paper

Transformation-Invariant Convolutional Jungles

Dmitry Laptev, Joachim M. Buhmann,

IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2015), 4

Research Collection

2015 Conference Paper

Obtaining Consensus Annotations For Retinal Image Segmentation Using Random Forest And Graph Cuts

Dwarikanath Mahapatra, Joachim M. Buhmann,

Ophthalmic Medical Image Analysis Second International Workshop, OMIA 2015 in Conjunction with MICCAI 2015,

Research Collection

2015 Conference Paper

Kickback cuts Backprop’s red-tape: Biologically plausible credit assignment in neural networks

David Balduzzi, Hastagiri Vanchinathan, Joachim M. Buhman,

29th AAI Conference on Artificial Intelligence (AAAI'15), 1

Research Collection

2015 Conference Paper

Joint Segmentation and Groupwise Registration of Cardiac DCE MRI Using Sparse Data Representations

Dwarikanath Mahapatra, Zhang Li, Frans M. Vos, Joachim M. Buhmann,

12th IEEE International Symposium on Biomedical Imaging (ISBI 2015),

Research Collection

2015 Conference Paper

Greedy MaxCut algorithms and their information content

Yatao Bian, Alexey Gronskiy, Joachim M. Buhmann,

IEEE Information Theory Workshop (ITW 2015),

DOI: 10.3929/ethz-a-010575685      Research Collection

Graphenzerlegung (graphentheorie) Graph Partitioning (graph Theory) Algorithmische Komplexität (mathematik) Programs And Algorithms For The Solution Of Special Problems Algorithmic Complexity (mathematics) Programme Und Algorithmen Zur Lösung Spezieller Probleme
2015 Conference Paper

Crohn's disease segmentation from MRI using learned image priors

Dwarikanath Mahapatra, Peter Schüffler, Frans Vos, Joachim M. Buhmann,

12th IEEE International Symposium on Biomedical Imaging (ISBI 2015),

Research Collection

10.1109/isbi.2015.7163951 Crohns Disease Fields Of Experts Graph Cuts Random Forests Segmentation
2015 Conference Paper

Boosting convolutional filters with entropy sampling for optic cup and disc image segmentation from fundus images

Julian G. Zilly, Joachim M. Buhmann, Dwarikanath Mahapatra,

6th International Workshop, MLMI 2015, Held in Conjunction with MICCAI 2015, 9352

Research Collection

2015 Conference Paper

A Field of Experts Model for Optic Cup and Disc Seg- mentation from Retinal Fundus Images

Dwarikanath Mahapatra, Joachim M. Buhmann,

2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI),

Research Collection

2014 Conference Paper

SuperSlicing Frame Restoration for Anisotropic ssTEM

Dmitry Laptev, Alexander Vezhnevets, Joachim M. Buhman,

International Symposium on Biomedical Imaging (ISBI 2014),

Research Collection

2014 Conference Paper

SuperSlicing Frame Restoration for Anisotropic ssTEM and Video Data

Dmitry Laptev, Joachim M. Buhmann,

Neural Connectomics Workshop (ECML PKDD 2014),

DOI: 10.3929/ethz-a-010315403      Research Collection

Digitale Bildverarbeitung Digitale Videotechnik Digital Image Processing Digital Video Engineering