Inverse problems and machine vision

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Inverse problems and machine vision

Code: 255122
ECTS: 5.0
Lecturers in charge: prof. dr. sc. Luka Grubišić
Take exam: Studomat
Load:

1. komponenta

Lecture typeTotal
Lectures 45
* Load is given in academic hour (1 academic hour = 45 minutes)
Description:
Literature:
  1. Statistical and Computational Inverse Problems, Jari Kaipio, Erkki Somersalo, Springer, 2005.
  2. Inverse Problem Theory and Methods for Model Parameter Estimation, Albert Tarantola, http://www.ipgp.fr/~tarantola/Files/Professional/Books/InverseProblemTheory.pdf.
  3. Introduction to Bayesian Scientific Computing, D. Calvetti, E. Somersalo, Springer, 2007.
  4. Compressive Imaging: Structure, Sampling, Learning, Ben Adcock, Anders Hansen.
1. semester Not active
Izborni predmet 1, 2, 3 - Regular study - Mathematical Statistics

2. semester
Izborni predmet 1, 2, 3 - Regular study - Mathematical Statistics

3. semester Not active
Izborni predmet 4, 5, 6, 7 - Regular study - Mathematical Statistics

4. semester
Izborni predmet 4, 5, 6, 7 - Regular study - Mathematical Statistics
Consultations schedule: