TY  - GEN
N2  - This two-volume set constitutes the proceedings of the 5th Asian Conference on ACPR 2019, held in Auckland, New Zealand, in November 2019. The 9 full papers presented in this volume were carefully reviewed and selected from 14 submissions. They cover topics such as: classification; action and video and motion; object detection and anomaly detection; segmentation, grouping and shape; face and body and biometrics; adversarial learning and networks; computational photography; learning theory and optimization; applications, medical and robotics; computer vision and robot vision; pattern recognition and machine learning; multi-media and signal processing and interaction.
AB  - This two-volume set constitutes the proceedings of the 5th Asian Conference on ACPR 2019, held in Auckland, New Zealand, in November 2019. The 9 full papers presented in this volume were carefully reviewed and selected from 14 submissions. They cover topics such as: classification; action and video and motion; object detection and anomaly detection; segmentation, grouping and shape; face and body and biometrics; adversarial learning and networks; computational photography; learning theory and optimization; applications, medical and robotics; computer vision and robot vision; pattern recognition and machine learning; multi-media and signal processing and interaction.
T1  - Pattern recognition :5th Asian Conference, ACPR 2019, Auckland, New Zealand, November 26-29, 2019, Revised selected papers.
AU  - Palaiahnakote, Shivakumara.
AU  - Sanniti di Baja, Gabriella.
AU  - Wang, Liang.
AU  - Yan, Wei Qi.
VL  - 12047
CN  - TK7882.P3
N1  - Includes author index.
ID  - 928977
KW  - Pattern recognition systems
KW  - Computer vision
KW  - Signal processing
SN  - 9783030412999
SN  - 3030412997
TI  - Pattern recognition :5th Asian Conference, ACPR 2019, Auckland, New Zealand, November 26-29, 2019, Revised selected papers.
LK  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-41299-9
UR  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-41299-9
ER  -