TY  - GEN
N2  - This volume constitutes the refereed proceedings, presented during the ACPR 2019 Workshops, held in Auckland, New Zealand, in November 2019. The 17 full papers and 6 short papers were carefully reviewed and selected out of numerous submissions. The papers are organized according to the topics of the workshops: computer vision for modern vehicles; advances and applications on generative deep learning models; image and pattern analysis for multidisciplinary computational anatomy; multi-sensor for action and gesture recognition; towards the automatic data processing chain for airborne and spaceborne sensors.
DO  - 10.1007/978-981-15-3651-9
DO  - doi
AB  - This volume constitutes the refereed proceedings, presented during the ACPR 2019 Workshops, held in Auckland, New Zealand, in November 2019. The 17 full papers and 6 short papers were carefully reviewed and selected out of numerous submissions. The papers are organized according to the topics of the workshops: computer vision for modern vehicles; advances and applications on generative deep learning models; image and pattern analysis for multidisciplinary computational anatomy; multi-sensor for action and gesture recognition; towards the automatic data processing chain for airborne and spaceborne sensors.
T1  - Pattern recognition :ACPR 2019 Workshops, Auckland, New Zealand, November 26, 2019, Proceedings /
DA  - 2020.
CY  - Singapore :
AU  - Cree, Michael J.
AU  - Huang, Fay.
AU  - Yuan, Junsong.
AU  - Yan, Wei Qi.
VL  - v. 1180
CN  - TK7882.P3
PB  - Springer,
PP  - Singapore :
PY  - 2020.
N1  - International conference proceedings.
N1  - Includes author index.
ID  - 930141
KW  - Pattern recognition systems
KW  - Computer vision
KW  - Signal processing
SN  - 9789811536519
SN  - 9811536511
TI  - Pattern recognition :ACPR 2019 Workshops, Auckland, New Zealand, November 26, 2019, Proceedings /
LK  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-981-15-3651-9
UR  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-981-15-3651-9
ER  -