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  4. Nonnegative matrix factorization - theory, algorithms and applications
 
Zitierlink DOI
10.26092/elib/1493

Nonnegative matrix factorization - theory, algorithms and applications

Veröffentlichungsdatum
2022-03-07
Autoren
Fernsel, Pascal  
Betreuer
Maaß, Peter  
Gutachter
Arridge, Simon  
Zusammenfassung
This work is devoted to the application-oriented design of Nonnegative Matrix Factorization (NMF) models along with the development of solution algorithms, their application to real-world problems and the analysis of some theoretical aspects. The thesis is divided into two main parts and additionally contains a short introduction in the beginning, which includes a description of the thesis, the featured research papers and the contributions of the author of this thesis.
The first part of this work contains preliminary information on basic concepts of inverse problems and NMF as well as a short overview of solution strategies for NMF and the considered applications. The second part contains the five research papers to which the author contributed.
Schlagwörter
nonnegative matrix factorization

; 

NMF

; 

orthogonal NMF

; 

low-rank approximation

; 

inverse problems

; 

variational methods

; 

multi-parameter regularization

; 

algorithm development

; 

medical imaging
Institution
Universität Bremen  
Fachbereich
Fachbereich 03: Mathematik/Informatik (FB 03)  
Dokumenttyp
Dissertation
Zweitveröffentlichung
Nein
Lizenz
https://creativecommons.org/licenses/by/4.0/
Sprache
Englisch
Dateien
Lade...
Vorschaubild
Name

PhD_Thesis_Pascal_Fernsel.pdf

Size

37.04 MB

Format

Adobe PDF

Checksum

(MD5):e323a6e57a642ee394ebb1461007cf40

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