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Disambiguation of "Tschannen, Michael"

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Dimensionality-reduced subspace clustering.

, , and . CoRR, (2015)

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Univ. -Prof. Dr. Michael Buchmeiser University of Stuttgart

Replication data of Buchmeiser group for: "Synthetic and Structural Peculiarities of Neutral and Cationic Molybdenum Imido and Tungsten Oxo Alkylidene Complexes Bearing Weakly Coordinating N-Heterocyclic Carbenes", , , , , , and . Dataset, (2024)Related to: M. R. Buchmeiser, D. Wang, R. Schowner, L. Stöhr, F. Ziegler, S. Sen, W. Frey,; Synthetic and Structural Peculiarities of Neutral and Cationic Molybdenum Imido and Tungsten Oxo Alkylidene Complexes Bearing Weakly Coordinating N-Heterocyclic Carbenes; Eur. J. Inorg. Chem., in press (2024). doi: 10.1002/ejic.202400082.

Dr. Michael Dyballa University of Stuttgart

Insights into solid catalysts by advanced characterization. Universität Stuttgart, Stuttgart, Habilitationsschrift, (2023)

Michael Sawannia University of Stuttgart

Influence of beam oscillation on the melt flow during laser beam fusion cutting and the resulting cut quality, , , , , and . WLT e.V., Lasers in Manufacturing Conference 2023, (2023)

Michael Böhm

Michael Funk

 

Other publications of authors with the same name

Regression forest-based automatic estimation of the articular margin plane for shoulder prosthesis planning., , , , and . Medical Image Analysis, (2016)Pursuits in Structured Non-Convex Matrix Factorizations., , and . CoRR, (2016)StrassenNets: Deep learning with a multiplication budget., , and . CoRR, (2017)Extreme Learned Image Compression with GANs., , , , and . CVPR Workshops, page 2587-2590. IEEE Computer Society, (2018)A Learning-Based Approach for Fast and Robust Vessel Tracking in Long Ultrasound Sequences., , , and . MICCAI (1), volume 8149 of Lecture Notes in Computer Science, page 518-525. Springer, (2013)Practical Full Resolution Learned Lossless Image Compression., , , , and . CVPR, page 10629-10638. Computer Vision Foundation / IEEE, (2019)Nonparametric Nearest Neighbor Random Process Clustering., and . CoRR, (2015)Disentangling Factors of Variation Using Few Labels., , , , , and . CoRR, (2019)Generative Adversarial Networks for Extreme Learned Image Compression., , , , and . CoRR, (2018)On Mutual Information Maximization for Representation Learning., , , , and . CoRR, (2019)