Bernhard X. Kausler
Bernhard X. Kausler
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Titel
Zitiert von
Zitiert von
Jahr
A comparative study of modern inference techniques for discrete energy minimization problems
J Kappes, B Andres, F Hamprecht, C Schnorr, S Nowozin, D Batra, S Kim, ...
Proceedings of the IEEE conference on computer vision and pattern …, 2013
3272013
Automated processing of zebrafish imaging data: a survey
R Mikut, T Dickmeis, W Driever, P Geurts, FA Hamprecht, BX Kausler, ...
Zebrafish 10 (3), 401-421, 2013
702013
Conservation tracking
M Schiegg, P Hanslovsky, BX Kausler, L Hufnagel, FA Hamprecht
Proceedings of the IEEE International Conference on Computer Vision, 2928-2935, 2013
592013
A discrete chain graph model for 3d+ t cell tracking with high misdetection robustness
BX Kausler, M Schiegg, B Andres, M Lindner, U Koethe, H Leitte, ...
European Conference on Computer Vision, 144-157, 2012
462012
Deltr: digital embryo lineage tree reconstructor
X Lou, FO Kaster, MS Lindner, BX Kausler, U Koethe, B Höckendorf, ...
2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro …, 2011
252011
ilastik: Interactive machine learning for (bio) image analysis
S Berg, D Kutra, T Kroeger, CN Straehle, BX Kausler, C Haubold, ...
Nature Methods, 1-7, 2019
242019
Time series anomaly detection based on shapelet learning
L Beggel, BX Kausler, M Schiegg, M Pfeiffer, B Bischl
Computational Statistics 34 (3), 945-976, 2019
82019
Tracking-by-Assignment as a Probabilistic Graphical Model with Applications in Developmental Biology
B Kausler
12013
Method, device and computer program for ascertaining an anomaly
B Kausler, L Beggel, M Schiegg, M Pfeiffer
US Patent App. 16/183,807, 2019
2019
Anomaly Detection with Shapelet-Based Feature Learning for Time Series
L Beggel, BX Kausler, M Schiegg, B Bischl
Ulmer Informatik-Berichte, 25, 2016
2016
Multicuts. Comp. Vision Image Understanding, 2016. in press.[4] P. Swoboda, A. Shekhovtsov, JH Kappes, C. Schnörr, and B. Savchyn-skyy. Partial Optimality by Pruning for MAP …
S Kim, BX Kausler, T Kröger, J Lellmann, N Komodakis, B Savchynskyy
Dynamics 125, 285-312, 2013
2013
Tracking of Multiple (Divisible) Objects Using Structured Learning
M Schiegg, BX Kausler
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