Dr. Andreas Nienkötter

Research Associate
© Uni MS

Tel: +49 251 83 - 32706
a.nienkoetter(AT)uni-muenster.de

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

Office 602a
Consultation hour: by appointment

 
  • Research Areas

    • Generalized Median
    • Consensus Learning
  • CV

    Education

    Bachelor and Master in Computer Science, WWU Münster

    Position

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

    • V/Ü: Computer Vision [100113]
      (in cooperation with Prof. Dr. Xiaoyi Jiang)

    • V/Ü: Pattern Recognition [108115]
      (in cooperation with Prof. Dr. Xiaoyi Jiang)

    • V/Ü: Computer Vision [106115]
      (in cooperation with Prof. Dr. Benjamin Risse)

    • V/Ü: Pattern Recognition [104112]
      (in cooperation with Prof. Dr. Benjamin Risse, Prof. Dr. Xiaoyi Jiang, Julian Johannes Kuhlmann)

    • V/Ü: Pattern Recognition [100123]
      (in cooperation with Prof. Dr. Benjamin Risse, Prof. Dr. Xiaoyi Jiang, Julian Johannes Kuhlmann)

    • V/Ü: Pattern Recognition [106117]
      (in cooperation with Prof. Dr. Benjamin Risse, Prof. Dr. Xiaoyi Jiang)
  • Publications

    • Nienkötter A, Jiang X. . ‘Kernel-based generalized median computation for consensus learning.’ IEEE Transactions on Pattern Analysis and Machine Intelligence 45, No. 5: 5872–5888.

    • Nienkötter A, Jiang X. . ‘Distance-preserving vector space embedding for consensus learning.’ IEEE Transactions on Systems, Man, and Cybernetics: Systems 51, No. 2: 1244–1257.

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

    • Nienkötter A, Jiang X. . ‘Consensus learning for sequence data.’ In Data Mining in Time Series and Streaming Databases, edited by Last M, Bunke H, Kandel A, 69–91. World Scientific Publishing.

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