| Field |
Value |
Language |
|
dc.contributor.author |
Horng, S-J |
|
|
dc.contributor.author |
Supardi, J |
|
|
dc.contributor.author |
Zhou, W |
|
|
dc.contributor.author |
Lin, C-T |
|
|
dc.contributor.author |
Jiang, B |
|
|
dc.date.accessioned |
2021-03-15T23:40:02Z |
|
|
dc.date.available |
2021-03-15T23:40:02Z |
|
|
dc.date.issued |
2020 |
|
|
dc.identifier.citation |
IEEE Transactions on Intelligent Transportation Systems, 2020, PP, (99), pp. 1-13 |
|
|
dc.identifier.issn |
1524-9050 |
|
|
dc.identifier.issn |
1558-0016 |
|
|
dc.identifier.uri |
http://hdl.handle.net/10453/147186
|
|
|
dc.language |
en |
|
|
dc.publisher |
Institute of Electrical and Electronics Engineers (IEEE) |
|
|
dc.relation.ispartof |
IEEE Transactions on Intelligent Transportation Systems |
|
|
dc.relation.hasversion |
Accepted version |
en |
|
dc.relation.isbasedon |
10.1109/tits.2020.3032396 |
|
|
dc.rights |
info:eu-repo/semantics/embargoedAccess |
|
|
dc.rights |
© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
en_US |
|
dc.subject |
0801 Artificial Intelligence and Image Processing, 0905 Civil Engineering, 1507 Transportation and Freight Services |
|
|
dc.subject.classification |
Logistics & Transportation |
|
|
dc.title |
Recognizing Very Small Face Images Using Convolution Neural Networks |
|
|
dc.type |
Journal Article |
|
|
utslib.citation.volume |
PP |
|
|
utslib.for |
0801 Artificial Intelligence and Image Processing |
|
|
utslib.for |
0905 Civil Engineering |
|
|
utslib.for |
1507 Transportation and Freight Services |
|
|
pubs.organisational-group |
/University of Technology Sydney |
|
|
pubs.organisational-group |
/University of Technology Sydney/Faculty of Engineering and Information Technology |
|
|
pubs.organisational-group |
/University of Technology Sydney/Strength - AAII - Australian Artificial Intelligence Institute |
|
|
pubs.organisational-group |
/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science |
|
|
utslib.copyright.status |
open_access |
* |
|
utslib.copyright.embargo |
2022-10-28T00:00:00+1000Z |
|
|
dc.date.updated |
2021-03-15T23:39:59Z |
|
|
pubs.issue |
99 |
|
|
pubs.publication-status |
Published |
|
|
pubs.volume |
PP |
|
|
utslib.citation.issue |
99 |
|
