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Prof. Dr. Emily King

Ehemalige Leiterin der AAG Computational Data Analysis (2014-2019)

Veranstaltungen (Auswahl)vollständige Liste

  1. Algebraic, Geometric and Combinatorial Methods in Frame Theory (Sommersemester 2019)
  2. Inverse Methods and Data Analysis in Environmental Physics (Wintersemester 2018/2019)
  3. Harmonic Analysis: Theory and Applications (Wintersemester 2018/2019)
  4. Reading Course in Randomisation approaches in data analysis (Wintersemester 2017/2018)
  5. Reading Course in Sparse and redundant representation systems (Wintersemester 2017/2018)

Abschlussarbeiten (Auswahl)vollständige Liste

  1. Randomized Image Decomposition and Reconstruction (Lennart Abels)
  2. Tangent and Curvature Estimation of 2D Point Clouds (Laura Breitkopf)
  3. Distributed Kalman Filtering for Large-Scale Dynamic Systems with Sparsely Coupled States (Lukas Zumvorde)
  4. Mathematical Analysis of Information Loss and Errors in Neural Networks (Sören Dittmer)
  5. Spectogram-based Musical Instrument Separation via Pitch-invariant Dictionaries (Sören Schulze)

Publikationen (Auswahl)vollständige Liste

  1. S. Schulze, E. King.
    Sparse Pursuit and Dictionary Learning for Blind Source Separation in Polyphonic Music Recordings.
    EURASIP Journal on Audio, Speech, and Music Processing, 6:2-25, 2021.

    DOI: 10.1186/s13636-020-00190-4
    online unter: https://rdcu.be/ceo1J

  2. S. Schulze, J. Leuschner, E. King.
    Training a Deep Neural Network via Policy Gradients for Blind Source Separation in Polyphonic Music Recordings.
    Zur Veröffentlichung eingereicht.

    online unter: https://arxiv.org/abs/2107.04235

  3. R. Reisenhofer, E. King.
    Edge, Ridge, and Blob Detection with Symmetric Molecules.
    Zur Veröffentlichung eingereicht.
  4. E. King.
    Constructing Subspace Packings from Other Packings.
    Zur Veröffentlichung eingereicht.

    online unter: https://arxiv.org/abs/1902.07145

  5. S. Schulze, E. King.
    A Frequency‐Uniform and Pitch‐Invariant Time‐Frequency Representation.
    90th GAMM Annual Meeting of the international Association of Applied Mathematics and Mechanics (GAMM), 18.02.-22.02.2019, Wien, Österreich.
    Proc. Appl. Math. Mech., 19(1):e201900374, 2019.

    DOI: 10.1002/pamm.201900374