dc.contributor.author |
Madai-Tahy, Lorand |
|
dc.contributor.author |
Otte, Sebastian |
|
dc.contributor.author |
Zell, Andreas |
|
dc.date.accessioned |
2018-06-05T14:17:25Z |
|
dc.date.available |
2018-06-05T14:17:25Z |
|
dc.date.issued |
2016 |
|
dc.identifier.isbn |
978-3-319-44780-3 |
|
dc.identifier.isbn |
978-3-319-44781-0 |
|
dc.identifier.uri |
http://hdl.handle.net/10900/82181 |
|
dc.language.iso |
en |
de_DE |
dc.publisher |
Cham : Springer |
de_DE |
dc.relation.ispartofseries |
Lecture notes in computer science;9887 |
|
dc.relation.uri |
http://dx.doi.org/10.1007/978-3-319-44781-0_4 |
de_DE |
dc.rights |
info:eu-repo/semantics/closedAccess |
|
dc.subject.ddc |
004 |
de_DE |
dc.title |
Revisiting Deep Neural Networks for RGB-D based Object Recognition |
de_DE |
dc.type |
BookPart |
de_DE |
dc.type |
ConferenceObject |
de_DE |
utue.publikation.seiten |
29-37 |
de_DE |
utue.personen.roh |
Madai-Tahy, Lorand |
|
utue.personen.roh |
Otte, Sebastian |
|
utue.personen.roh |
Zell, Andreas |
|
utue.publikation.buchdesbeitrags |
Artificial Neural Networks and Machine Learning – ICANN 2016 |
de_DE |