Learning Robust Features for Gait Recognition by Maximum Margin Criterion
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F16%3A00091550" target="_blank" >RIV/00216224:14330/16:00091550 - isvavai.cz</a>
Result on the web
<a href="http://link.springer.com/content/pdf/bbm%3A978-3-319-49055-7%2F1.pdf" target="_blank" >http://link.springer.com/content/pdf/bbm%3A978-3-319-49055-7%2F1.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-49055-7" target="_blank" >10.1007/978-3-319-49055-7</a>
Alternative languages
Result language
angličtina
Original language name
Learning Robust Features for Gait Recognition by Maximum Margin Criterion
Original language description
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.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
—
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the joint IAPR International Workshops on Structural and Syntactic Pattern Recognition (SSPR 2016) and Statistical Techniques in Pattern Recognition (SPR 2016)
ISBN
9783319490540
ISSN
0302-9743
e-ISSN
—
Number of pages
2
Pages from-to
585-586
Publisher name
Springer International Publishing AG
Place of publication
Switzerland
Event location
Mérida, Mexico
Event date
Jan 1, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000389509300052