| dc.rights.license | CC-BY-NC-ND | |
| dc.contributor.advisor | Salavenich, Palina | |
| dc.contributor.author | Ravenswaaij, Claudia van | |
| dc.date.accessioned | 2025-04-03T12:00:51Z | |
| dc.date.available | 2025-04-03T12:00:51Z | |
| dc.date.issued | 2025 | |
| dc.identifier.uri | https://studenttheses.uu.nl/handle/20.500.12932/48766 | |
| dc.description.sponsorship | Utrecht University | |
| dc.language.iso | EN | |
| dc.subject | The topic of the thesis – nonnegative matrix factorization with graph regularization and its potentialapplications to EEG image processing – is a relatively new direction in dictionary learning, and while someresults (mainly, for manifold learning tasks) have been recently obtained, this approach has not yet beenstudied in the context of solving source separation problem for EEG signals. The main goal of the thesis was todevelop the necessary mathematical tools and background for addressing | |
| dc.title | Nonnegative matrix factorization with graph regularization | |
| dc.type.content | Bachelor Thesis | |
| dc.rights.accessrights | Open Access | |
| dc.subject.keywords | EEG, dictionary learning, nonnegative matrix factorization, inverse problems, regularization | |
| dc.subject.courseuu | Wiskunde | |
| dc.thesis.id | 13676 | |
