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Pattern Recognition. ICPR International Workshops and Challenges : Virtual Event, January 10-15, 2021, Proceedings, Part V / edited by Alberto Del Bimbo, Rita Cucchiara, Stan Sclaroff, Giovanni Maria Farinella, Tao Mei, Marco Bertini, Hugo Jair Escalante, Roberto Vezzani.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- LNCS sublibrary. Image processing, computer vision, pattern recognition, and graphics ; SL 6, 12665
- Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 12665
- Language:
- English
- Subjects (All):
- Image processing-Digital techniques.
- Computer vision.
- Application software.
- Artificial intelligence.
- Education-Data processing.
- Computer Imaging, Vision, Pattern Recognition and Graphics.
- Computer and Information Systems Applications.
- Artificial Intelligence.
- Computers and Education.
- Local Subjects:
- Computer Imaging, Vision, Pattern Recognition and Graphics.
- Computer and Information Systems Applications.
- Artificial Intelligence.
- Computers and Education.
- Physical Description:
- 1 online resource (XIX, 692 pages) : 287 illustrations, 222 illustrations in color.
- Edition:
- 1st ed. 2021.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2021.
- System Details:
- text file PDF
- Summary:
- This 8-volumes set constitutes the refereed of the 25th International Conference on Pattern Recognition Workshops, ICPR 2020, held virtually in Milan, Italy and rescheduled to January 10 - 11, 2021 due to Covid-19 pandemic. The 416 full papers presented in these 8 volumes were carefully reviewed and selected from about 700 submissions. The 46 workshops cover a wide range of areas including machine learning, pattern analysis, healthcare, human behavior, environment, surveillance, forensics and biometrics, robotics and egovision, cultural heritage and document analysis, retrieval, and women at ICPR2020.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-030-68821-9
- 9783030688219
- Access Restriction:
- Restricted for use by site license.
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