UID:
almahu_9948689697202882
Umfang:
XII, 378 p. 103 illus., 84 illus. in color.
,
online resource.
Ausgabe:
1st ed. 2021.
ISBN:
9783030739737
Serie:
Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 12644
Inhalt:
This book constitutes the proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition, S+SSPR 2020, held in Padua, Italy, in January 2021. The 35 papers presented in this volume were carefully reviewed and selected from 81 submissions. The accepted papers cover the major topics of current interest in pattern recognition, including classification and clustering, deep learning, structural matching and graph-theoretic methods, and multimedia analysis and understanding.
Anmerkung:
Classification and data processing -- Deep learning -- Graph-theoretic methods -- Multimedia analysis and understanding.
In:
Springer Nature eBook
Weitere Ausg.:
Printed edition: ISBN 9783030739720
Weitere Ausg.:
Printed edition: ISBN 9783030739744
Sprache:
Englisch
DOI:
10.1007/978-3-030-73973-7
URL:
https://doi.org/10.1007/978-3-030-73973-7
