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(Ebook) Pattern Recognition and Computer Vision: 4th Chinese Conference, PRCV 2021, Beijing, China, October 29 – November 1, 2021, Proceedings, Part IV (Lecture Notes in Computer Science) by Huimin Ma (editor), Liang Wang (editor), Changshui Zhang (editor), Fei Wu (editor), Tieniu Tan (editor), Yaonan Wang (editor), Jianhuang Lai (editor), Yao Zhao (editor) ISBN 9783030880125, 3030880125

  • SKU: EBN-36137946
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25 reviews
Instant download (eBook) Pattern Recognition and Computer Vision: 4th Chinese Conference, PRCV 2021, Beijing, China, October 29 – November 1, 2021, Proceedings, Part IV (Lecture Notes in Computer Science) after payment.
Authors:Huimin Ma (editor), Liang Wang (editor), Changshui Zhang (editor), Fei Wu (editor), Tieniu Tan (editor), Yaonan Wang (editor), Jianhuang Lai (editor), Yao Zhao (editor)
Pages:600 pages.
Year:2021
Editon:1st ed. 2021
Publisher:Springer
Language:english
File Size:96.18 MB
Format:pdf
ISBNS:9783030880125, 3030880125
Categories: Ebooks

Product desciption

(Ebook) Pattern Recognition and Computer Vision: 4th Chinese Conference, PRCV 2021, Beijing, China, October 29 – November 1, 2021, Proceedings, Part IV (Lecture Notes in Computer Science) by Huimin Ma (editor), Liang Wang (editor), Changshui Zhang (editor), Fei Wu (editor), Tieniu Tan (editor), Yaonan Wang (editor), Jianhuang Lai (editor), Yao Zhao (editor) ISBN 9783030880125, 3030880125

The 4-volume set LNCS 13019, 13020, 13021 and 13022 constitutes the refereed proceedings of the 4th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2021, held in Beijing, China, in October-November 2021.The 201 full papers presented were carefully reviewed and selected from 513 submissions. The papers have been organized in the following topical sections: Object Detection, Tracking and Recognition; Computer Vision, Theories and Applications, Multimedia Processing and Analysis; Low-level Vision and Image Processing; Biomedical Image Processing and Analysis; Machine Learning, Neural Network and Deep Learning, and New Advances in Visual Perception and Understanding.
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