dc.contributor.author | GROZAVU, Nistor | |
dc.contributor.author | KHALAFAOUI, Yasser | |
dc.contributor.author | ROGOVSCHI, Nicoleta | |
dc.date.accessioned | 2022-12-29T11:53:22Z | |
dc.date.available | 2022-12-29T11:53:22Z | |
dc.date.issued | 2022 | |
dc.identifier.citation | GROZAVU, Nistor, KHALAFAOUI, Yasser, ROGOVSCHI, Nicoleta. Multi-modal multi-view emotion detection using non-negative matrix factorisation. In: Electronics, Communications and Computing (IC ECCO-2022): 12th intern. conf., 20-21 Oct. 2022, Chişinău, Republica Moldova: conf. proc., Chişinău, 2022, pp. 21. | en_US |
dc.identifier.uri | http://repository.utm.md/handle/5014/21892 | |
dc.description | Only Abstract | |
dc.description.abstract | Through this work we explore the unsupervised topological learning of multimodal data presenting a complex structure allowing to learn their representations. We are particularly interested in heterogeneous data whose representation may have been informed in different ways: expert representation which may be complex. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Technical University of Moldova | en_US |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 United States | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/us/ | * |
dc.subject | multimodal data | en_US |
dc.subject | unsupervised topological learning | en_US |
dc.title | Multi-modal multi-view emotion detection using non-negative matrix factorisation | en_US |
dc.type | Article | en_US |
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