Dr. Andreas Nienkötter

Research Associate

University of Münster
Department of Computer Science
Einsteinstrasse 62
D-48149 Münster

Office 602a
Consultation hour: by appointment

Research Foci

since 2015: Research Assistant at the Institute for Computer Science of the WWU Münster

Teaching

V/Ü: Mustererkennung [108115]
(in cooperation with Xiaoyi Jiang)
Practical tutorial: Praktikum zur Vorlesung Mustererkennung [108114]
(in cooperation with Xiaoyi Jiang, Florian Eilers and Christof Duhme)

V/Ü: Mustererkennung [104112]
(in cooperation with Xiaoyi Jiang and Benjamin Risse)
Practical tutorial: Praktikum zur Vorlesung Mustererkennung [104113]
(in cooperation with Xiaoyi Jiang and Benjamin Risse)

Articles

Nienkötter, A, and Jiang, X. 2023. “Kernel-based generalized median computation for consensus learning.” IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (5): 5872–5888.

Nienkötter, A, and Jiang, X. 2021. “Distance-preserving vector space embedding for consensus learning.” IEEE Transactions on Systems, Man and Cybernetics: Systems 51 (2): 1244–1257.

Nienkötter, A, and Jiang, X. 2020. “A lower bound for generalized median based consensus learning using kernel-induced distance functions.” Pattern Recognition Letters 140: 339–347.

Nienkötter, A, and Jiang, X. 2018. “Consensus learning for sequence data.” in Data Mining in Time Series and Streaming Databases, edited by M Last, H Bunke and A Kandel. World Scientific Publishing.

Nienkötter, A, and Jiang, X. 2016. “Distance-preserving vector space embedding for the closest string problem.” contribution to the Proc. of 23rd Int. Conf. on Pattern Recognition (ICPR), Cancun, Mexico doi: 10.1109/ICPR.2016.7899854.
Nienkötter, A, and Jiang, X. 2016. “Improved prototype embedding based generalized median computation by means of refined reconstruction methods.” contribution to the Proc. of Joint IAPR Int. Workshop on Structural, Syntactic, and Statistical Pattern Recognition (S+SSPR), Merida, Mexico