Slowness and Disentanglement in Unsupervised Representation Learning from Temporal Data
dc.contributor | Aalto-yliopisto | fi |
dc.contributor | Aalto University | en |
dc.contributor.advisor | Struckmeier, Oliver | |
dc.contributor.author | Tuomisto, Jaakko | |
dc.contributor.school | Sähkötekniikan korkeakoulu | fi |
dc.contributor.supervisor | Forsman, Pekka | |
dc.date.accessioned | 2021-07-06T08:12:01Z | |
dc.date.available | 2021-07-06T08:12:01Z | |
dc.date.issued | 2021-05-16 | |
dc.format.extent | 29 | |
dc.format.mimetype | application/pdf | en |
dc.identifier.uri | https://aaltodoc.aalto.fi/handle/123456789/108696 | |
dc.identifier.urn | URN:NBN:fi:aalto-202107067950 | |
dc.language.iso | en | en |
dc.programme | Sähkötekniikan kandidaattiohjelma | fi |
dc.programme.major | Automaatio- ja systeemitekniikka | fi |
dc.programme.mcode | ELEC3014 | fi |
dc.subject.keyword | deep learning | en |
dc.subject.keyword | representation learning | en |
dc.subject.keyword | disentanglement | en |
dc.subject.keyword | disentangled representations | en |
dc.subject.keyword | slowness principle | en |
dc.subject.keyword | temporal coherence | en |
dc.title | Slowness and Disentanglement in Unsupervised Representation Learning from Temporal Data | en |
dc.type | G1 Kandidaatintyö | fi |
dc.type.dcmitype | text | en |
dc.type.ontasot | Bachelor's thesis | en |
dc.type.ontasot | Kandidaatintyö | fi |