1. komponenta

Lecture type	Total
Lectures	45

* Load is given in academic hour (1 academic hour = 45 minutes)

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

Enrollment :
Passed : Matrix and tensor methods in data analysis

Izborni predmet 3 - Regular study - Financial and Business Mathematics