Matrix Computations in Signal Processing and Machine Learning

  • Winter semester, in English, 3CP
  • Mo. 8:00-9:30 every week, ISS seminar room
  • Lecturer: Dr. Uhlich from Sony
  • Prerequisite: linear algebra, digital signal processing
  • Content:
    • Vector and matrix computations: Derivative, EVD/SVD, Nonnegative matrix factorization (NMF)
    • Special matrices (Toeplitz, Hankel, Circulant, Projection, ...)
  • Applications:
    • Feature reduction, Fisher transform, PCA
    • PageRank (Google), Recommendation Systems (Amazon)
    • Multidimensional scaling
  • Information and lecture dates (pdf)

If you want to participate in this course, please register via .

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