Dr. Andreas Nienkötter

• Generalized Median
• Consensus Learning

Academic Education

2009 – 2015

Bachelor and Master in Computer Science, WWU Münster

WorkExperience

since 2015

Research Assistant at the Institute for Computer Science of the WWU Münster

Winter Term 2022/23

• V/Ü: Computer Vision [100113]
  (in cooperation with Xiaoyi Jiang)
• Practical tutorial: Begleitendes Praktikum zu Computer Vision [100114]
  (in cooperation with Xiaoyi Jiang)

Summer Term 2022

• 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)

Winter Term 2021/22

• V/Ü: Computer Vision [106115]
  (in cooperation with Benjamin Risse)
• Practical tutorial: Begleitendes Praktikum zu Computer Vision [106116]
  (in cooperation with Benjamin Risse)

Summer Term 2021

• 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)

2023

• 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.

2021

• 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.

2020

• 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.

2018

• 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.

2016

• 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