TY  - BOOK
AU  - Coustaty, Mickael.
AU  - Fornés, Alicia.
TI  - Document Analysis and Recognition - ICDAR 2023 Workshops
SN  - 9783031415012
U1  - 6 
PY  - 2023///
CY  - Cham 
PB  - Springer Nature Switzerland 
KW  - Computer Application in Social and Behavioral Sciences
KW  - Computer Imaging, Vision, Pattern Recognition and Graphics
KW  - Computer vision
KW  - Database management
KW  - Database Management
KW  - Image processing
KW  - Information storage and retrieval systems
KW  - Information Storage and Retrieval
KW  - Machine learning
KW  - Machine Learning
KW  - Natural language processing (Computer science)
KW  - Natural Language Processing (NLP)
KW  - Social sciences
N2  - This two-volume set LNCS 14193-14194 constitutes the proceedings of International Workshops co-located with the 17th International Conference on Document Analysis and Recognition, ICDAR 2023, held in San José, CA, USA, during August 21-26, 2023. The total of 43 regular papers presented in this book were carefully selected from 60 submissions. Part I contains 22 regular papers that stem from the following workshops: ICDAR 2023 Workshop on Computational Paleography (IWCP); ICDAR 2023 Workshop on Camera-Based Document Analysis and Recognition (CBDAR); ICDAR 2023 International Workshop on Graphics Recognition (GREC); ICDAR 2023 Workshop on Automatically Domain-Adapted and Personalized Document Analysis (ADAPDA); Part II contains 21 regular papers that stem from the following workshops: ICDAR 2023 Workshop on Machine Vision and NLP for Document Analysis (VINALDO); ICDAR 2023 International Workshop on Machine Learning (WML).
UR  - https://doi.org/10.1007/978-3-031-41501-2
ER  -