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Pattern Recognition : 5th Asian Conference, ACPR 2019, Auckland, New Zealand, November 26-29, 2019, Revised Selected Papers, Part II / edited by Shivakumara Palaiahnakote, Gabriella Sanniti di Baja, Liang Wang, Wei Qi Yan.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- LNCS sublibrary. Image processing, computer vision, pattern recognition, and graphics ; SL 6, 12047
- Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 12047
- Language:
- English
- Subjects (All):
- Pattern recognition systems.
- Image processing-Digital techniques.
- Computer vision.
- Machine learning.
- Computers.
- Application software.
- Automated Pattern Recognition.
- Computer Imaging, Vision, Pattern Recognition and Graphics.
- Machine Learning.
- Computing Milieux.
- Computer and Information Systems Applications.
- Local Subjects:
- Automated Pattern Recognition.
- Computer Imaging, Vision, Pattern Recognition and Graphics.
- Machine Learning.
- Computing Milieux.
- Computer and Information Systems Applications.
- Physical Description:
- 1 online resource (XXV, 767 pages) : 352 illustrations, 292 illustrations in color.
- Edition:
- 1st ed. 2020.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2020.
- System Details:
- text file PDF
- Summary:
- 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.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-030-41299-9
- 9783030412999
- Access Restriction:
- Restricted for use by site license.
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