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Probabilistic Recurrent State-Space Models.

A. Doerr, C. Daniel, M. Schiegg, D. Nguyen-Tuong, S. Schaal, M. Toussaint, and S. Trimpe. ICML, volume 80 of Proceedings of Machine Learning Research, page 1279-1288. PMLR, (2018)

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Martin Baumann

Martin Schwartz University of Stuttgart

Martin Alvarez University of Stuttgart

Univ. -Prof. Martin Ostermann University of Stuttgart

Dr. Martin Rose University of Stuttgart

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Tracking Indistinguishable Translucent Objects over Time Using Weakly Supervised Structured Learning.L. Fiaschi, F. Andilla, K. Gregor, M. Schiegg, U. Köthe, M. Zlatic, and F. Hamprecht. CVPR, page 2736-2743. IEEE Computer Society, (2014)A Discrete Chain Graph Model for 3d+t Cell Tracking with High Misdetection Robustness.B. Kausler, M. Schiegg, B. Andres, M. Lindner, U. Köthe, H. Leitte, J. Wittbrodt, L. Hufnagel, and F. Hamprecht. ECCV (3), volume 7574 of Lecture Notes in Computer Science, page 144-157. Springer, (2012)Conservation Tracking.M. Schiegg, P. Hanslovsky, B. Kausler, L. Hufnagel, and F. Hamprecht. ICCV, page 2928-2935. IEEE Computer Society, (2013)Learning Diverse Models: The Coulomb Structured Support Vector Machine.M. Schiegg, F. Diego, and F. Hamprecht. ECCV (3), volume 9907 of Lecture Notes in Computer Science, page 585-599. Springer, (2016)Active Structured Learning for Cell Tracking: Algorithm, Framework, and Usability.X. Lou, M. Schiegg, and F. Hamprecht. IEEE Trans. Med. Imaging, 33 (4): 849-860 (2014)Graphical model for joint segmentation and tracking of multiple dividing cells.M. Schiegg, P. Hanslovsky, C. Haubold, U. Köthe, L. Hufnagel, and F. Hamprecht. Bioinformatics, 31 (6): 948-956 (2015)Relational Generalized Few-Shot Learning.X. Shi, L. Salewski, M. Schiegg, Z. Akata, and M. Welling. CoRR, (2019)Probabilistic Recurrent State-Space Models.A. Doerr, C. Daniel, M. Schiegg, D. Nguyen-Tuong, S. Schaal, M. Toussaint, and S. Trimpe. ICML, volume 80 of Proceedings of Machine Learning Research, page 1279-1288. PMLR, (2018)Proof-reading guidance in cell tracking by sampling from tracking-by-assignment models.M. Schiegg, B. Heuer, C. Haubold, S. Wolf, U. Koethe, and F. Hamprecht. ISBI, page 394-398. IEEE, (2015)Markov Logic Mixtures of Gaussian Processes: Towards Machines Reading Regression Data.M. Schiegg, M. Neumann, and K. Kersting. AISTATS, volume 22 of JMLR Proceedings, page 1002-1011. JMLR.org, (2012)