TY - GEN
T1 - A semi-supervised approach for the semantic segmentation of trajectories
AU - Soares, Amilcar
AU - Times, Valéria
AU - Renso, Chiara
AU - Matwin, Stan
AU - Cabral, Lucidio A.F.
N1 - Funding Information:
This paper is supported by the MASTER project that has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie-Slodowska Curie grant agreement N.777695. The authors would also like to thank NSERC (Natural Sciences and Engineering Research Council of Canada) for financial support.
Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/13
Y1 - 2018/7/13
UR - http://www.scopus.com/inward/record.url?scp=85050816488&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85050816488&partnerID=8YFLogxK
U2 - 10.1109/MDM.2018.00031
DO - 10.1109/MDM.2018.00031
M3 - Conference contribution
AN - SCOPUS:85050816488
T3 - Proceedings - IEEE International Conference on Mobile Data Management
SP - 145
EP - 154
BT - Proceedings - 2018 IEEE 19th International Conference on Mobile Data Management, MDM 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 19th IEEE International Conference on Mobile Data Management, MDM 2018
Y2 - 26 June 2018 through 28 June 2018
ER -