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Record Nr. |
UNINA9910497084103321 |
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Titolo |
Document Analysis and Recognition – ICDAR 2021 Workshops : Lausanne, Switzerland, September 5–10, 2021, Proceedings, Part I / / edited by Elisa H. Barney Smith, Umapada Pal |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
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ISBN |
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Edizione |
[1st ed. 2021.] |
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Descrizione fisica |
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1 online resource (498 pages) |
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Collana |
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Image Processing, Computer Vision, Pattern Recognition, and Graphics, , 3004-9954 ; ; 12916 |
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Disciplina |
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Soggetti |
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Image processing - Digital techniques |
Computer vision |
Machine learning |
Database management |
Natural language processing (Computer science) |
Social sciences - Data processing |
Information storage and retrieval systems |
Computer Imaging, Vision, Pattern Recognition and Graphics |
Machine Learning |
Database Management |
Natural Language Processing (NLP) |
Computer Application in Social and Behavioral Sciences |
Information Storage and Retrieval |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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ICDAR 2021 Workshop on Graphics Recognition (GREC) -- ICDAR 2021 Workshop on Camera-Based Document Analysis and Recognition (CBDAR) -- ICDAR 2021 Workshop on Arabic and Derived Script Analysis and Recognition (ASAR 2021) -- ICDAR 2021 Workshop on Computational Document Forensics (IWCDF). |
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Sommario/riassunto |
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“Accurate Graphic Symbol Detection in Ancient Document Digital Reproductions” is available open access under a Creative Commons |
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Attribution 4.0 International License via link.springer.com. |
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