@inproceedings{23248,
   author = {Balážia, Michal and Sojka, Petr},
   address = {Switzerland},
   booktitle = {Proceedings of the joint IAPR International Workshops on Structural and Syntactic Pattern Recognition (SSPR 2016) and Statistical Techniques in Pattern Recognition (SPR 2016)},
   edition = {LNCS 10029},
   keywords = {gait recognition},
   howpublished = {tištěná verze "print"},
   language = {eng},
   location = {Switzerland},
   isbn = {978-3-319-49054-0},
   pages = {585-586},
   publisher = {Springer International Publishing AG},
   title = {Learning Robust Features for Gait Recognition by Maximum Margin Criterion},
   url = {http://www.s-sspr.org/},
   year = {2016}
}

TY  - JOUR
ID  - 23248
AU  - Balážia, Michal - Sojka, Petr
PY  - 2016
TI  - Learning Robust Features for Gait Recognition by Maximum Margin Criterion
PB  - Springer International Publishing AG
CY  - Switzerland
SN  - 9783319490540
KW  - gait recognition
UR  - http://www.s-sspr.org/
N2  - Extended abstract. The full research paper "Learning Robust Features for Gait Recognition by Maximum Margin Criterion" has been accepted for publication at the 23rd IEEE/IAPR International Conference on Pattern Recognition (ICPR 2016), Cancun, Mexico, December 2016.
ER  - 

BALÁŽIA, Michal and Petr SOJKA. Learning Robust Features for Gait Recognition by Maximum Margin Criterion. In \textit{Proceedings of the joint IAPR International Workshops on Structural and Syntactic Pattern Recognition (SSPR 2016) and Statistical Techniques in Pattern Recognition (SPR 2016)}. LNCS 10029. Switzerland: Springer International Publishing AG. p.~585-586. ISBN~978-3-319-49054-0. 2016.