Advanced linear and nonlinear numerical methods in data analysis

Repository

Repository is empty

Poll

No polls currently selected on this page!

Advanced linear and nonlinear numerical methods in data analysis

Code: 239833
ECTS: 5.0
Lecturers in charge: prof. dr. sc. Zlatko Drmač - Lectures
Take exam: Studomat
Load:

1. komponenta

Lecture typeTotal
Lectures 45
* Load is given in academic hour (1 academic hour = 45 minutes)
Description:
Literature:
  1. I. Oseledets: TensorTrain decomposition
  2. D. Brandoni, V. Simoncini: Tensor-Train decomposition for image recognition
  3. B. Nadler, S. Lafon, R. R, Coifman, I. G. Kevrekidis: Diffusion maps, spectral clustering and reaction coordinates of dynamical systems
  4. Lars Elden: Matrix Methods in Data Mining and Pattern Recognition
  5. B. Savas, L. Elden: Handwritten digit classification using higher order singular value decomposition
  6. R. R. Coifman, S. Lafon: Diffusion maps
Prerequisit for:
Enrollment :
Passed : Matrix and tensor methods in data analysis
2. semester
Izborni predmet 3 - Regular study - Financial and Business Mathematics
Consultations schedule: