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Pattern Recognition - 42nd DAGM German Conference, DAGM GCPR 2020, Tubingen, Germany, September 28 - October 1, 2020, Proceedings (Paperback, 1st ed. 2021) Loot Price: R1,465
Discovery Miles 14 650
Pattern Recognition - 42nd DAGM German Conference, DAGM GCPR 2020, Tubingen, Germany, September 28 - October 1, 2020,...

Pattern Recognition - 42nd DAGM German Conference, DAGM GCPR 2020, Tubingen, Germany, September 28 - October 1, 2020, Proceedings (Paperback, 1st ed. 2021)

Zeynep Akata, Andreas Geiger, Torsten Sattler

Series: Lecture Notes in Computer Science, 12544

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Loot Price R1,465 Discovery Miles 14 650 | Repayment Terms: R137 pm x 12*

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This book constitutes the refereed proceedings of the 42nd German Conference on Pattern Recognition, DAGM GCPR 2020, which took place during September 28 until October 1, 2020. The conference was planned to take place in Tubingen, Germany, but had to change to an online format due to the COVID-19 pandemic.The 34 papers presented in this volume were carefully reviewed and selected from a total of 89 submissions. They were organized in topical sections named: Normalizing Flow, Semantics, Physics, Camera Calibration and Computer Vision, Pattern Recognition, Machine Learning.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Series: Lecture Notes in Computer Science, 12544
Release date: March 2021
First published: 2021
Editors: Zeynep Akata • Andreas Geiger • Torsten Sattler
Dimensions: 235 x 155mm (L x W)
Format: Paperback
Pages: 490
Edition: 1st ed. 2021
ISBN-13: 978-3-03-071277-8
Categories: Books > Computing & IT > General theory of computing > Mathematical theory of computation
Books > Computing & IT > General theory of computing > Data structures
Books > Computing & IT > Computer programming > Algorithms & procedures
Books > Computing & IT > Applications of computing > Pattern recognition
Books > Computing & IT > Applications of computing > Databases > General
Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
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LSN: 3-03-071277-X
Barcode: 9783030712778

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