Active learning using model uncertainty in segmentation problems
dc.contributor | Aalto-yliopisto | fi |
dc.contributor | Aalto University | en |
dc.contributor.advisor | Huttunen, Janne | |
dc.contributor.author | Sreekumar, Kavya | |
dc.contributor.school | Perustieteiden korkeakoulu | fi |
dc.contributor.supervisor | Ilin, Alexander | |
dc.date.accessioned | 2022-02-06T18:04:25Z | |
dc.date.available | 2022-02-06T18:04:25Z | |
dc.date.issued | 2022-01-24 | |
dc.format.extent | 62+2 | |
dc.identifier.uri | https://aaltodoc.aalto.fi/handle/123456789/112880 | |
dc.identifier.urn | URN:NBN:fi:aalto-202202061773 | |
dc.language.iso | en | en |
dc.programme | Master’s Programme in Computer, Communication and Information Sciences | fi |
dc.programme.major | Machine learning, data science and Artificial intelligence | fi |
dc.programme.mcode | SCI3044 | fi |
dc.subject.keyword | active learning | en |
dc.subject.keyword | uncertainty estimation | en |
dc.subject.keyword | segmentation | en |
dc.subject.keyword | deep learning | en |
dc.subject.keyword | wireless communication | en |
dc.title | Active learning using model uncertainty in segmentation problems | en |
dc.type | G2 Pro gradu, diplomityö | fi |
dc.type.ontasot | Master's thesis | en |
dc.type.ontasot | Diplomityö | fi |
local.aalto.electroniconly | yes | |
local.aalto.openaccess | no |