Document Analysis and Recognition - ICDAR 2023 Workshops edited by Mickael Coustaty, Alicia Fornés. [electronic resource] :
Material type: TextPublication details: Cham Springer Nature Switzerland 2023Edition: 1st ed. 2023Description: XXIII, 321 p. 196 illus., 95 illus. in color. online resourceISBN:- 9783031415012
- Computer Application in Social and Behavioral Sciences
- Computer Imaging, Vision, Pattern Recognition and Graphics
- Computer vision
- Database management
- Database Management
- Image processing
- Information storage and retrieval systems
- Information Storage and Retrieval
- Machine learning
- Machine Learning
- Natural language processing (Computer science)
- Natural Language Processing (NLP)
- Social sciences
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Item type | Home library | Call number | Status | Notes | Date due | Barcode | Item holds | |
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e-Book | S. R. Ranganathan Learning Hub Online | Available | Platform:Springer | EB2391 |
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). .
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