Citation link:
https://doi.org/10.26092/elib/1493
Nonnegative matrix factorization - theory, algorithms and applications
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PhD_Thesis_Pascal_Fernsel.pdf | 37.93 MB | Adobe PDF | View/Open |
Other Titles: | Nichtnegative Matrixfaktorisierung - Theorie, Algorithmen und Anwendungen | Authors: | Fernsel, Pascal | Supervisor: | Maaß, Peter | 1. Expert: | Maaß, Peter | Experts: | Arridge, Simon | Abstract: | 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. |
Keywords: | nonnegative matrix factorization; NMF; orthogonal NMF; low-rank approximation; inverse problems; variational methods; multi-parameter regularization; algorithm development; medical imaging | Issue Date: | 7-Mar-2022 | Type: | Dissertation | Secondary publication: | no | DOI: | 10.26092/elib/1493 | URN: | urn:nbn:de:gbv:46-elib58700 | Institution: | Universität Bremen | Faculty: | Fachbereich 03: Mathematik/Informatik (FB 03) |
Appears in Collections: | Dissertationen |
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