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Deep Learning of Human Emotion Recognition in Videos
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Informatics and Media, Information Systems.
2017 (English)Independent thesis Advanced level (degree of Master (Two Years)), 80 credits / 120 HE creditsStudent thesis
Place, publisher, year, edition, pages
2017.
Keywords [en]
Machine Learning; Computer Vision; Human Emotion Recognition
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:uu:diva-339062OAI: oai:DiVA.org:uu-339062DiVA, id: diva2:1174434
Supervisors
Available from: 2018-01-19 Created: 2018-01-15 Last updated: 2018-01-19Bibliographically approved

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fulltext(2735 kB)425 downloads
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c7330bd1bc2e172abc6368036646d9cd62dd517a526998147b693fe654dc98db3268d9492c93a1178352eff582ce0020bfe9419126b72c1bc68f59d015dcce62
Type fulltextMimetype application/pdf

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CiteExportLink to record
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  • apa
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