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Document Analysis Systems [electronic resource] : 16th IAPR International Workshop, DAS 2024, Athens, Greece, August 30–31, 2024, Proceedings / edited by Giorgos Sfikas, George Retsinas.

Contributor(s): Material type: TextSeries: Lecture Notes in Computer Science ; 14994Publisher: Cham : Springer Nature Switzerland : Imprint: Springer, 2024Edition: 1st ed. 2024Description: XV, 438 p. 145 illus., 117 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783031704420
Subject(s):
Additional physical formats: Printed edition:: No title; Printed edition:: No titleLOC classification:
  • QA76.9.D3
Online resources:
Contents:
Document analysis and understanding -- Retrieval and VQA -- Layout analysis -- Document classification -- OCR correction and NLP -- Recognition systems -- Historical documents.
In: Springer Nature eBookSummary: This book constitutes the refereed proceedings of the 16th IAPR International Workshop on Document Analysis Systems, DAS 2024, held in Athens, Greece, during August 30-31, 2024. The 27 full papers presented were carefully reviewed and selected from 43 submissions addressing topics like: document analysis and understanding; retrieval and VQA; layout analysis; document classification; OCR correction and NLP; recognition systems; and historical documents. .
Item type: List(s) this item appears in: Titluri cărți electronice Springer Nature 2025 (10631 titluri)
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Document analysis and understanding -- Retrieval and VQA -- Layout analysis -- Document classification -- OCR correction and NLP -- Recognition systems -- Historical documents.

This book constitutes the refereed proceedings of the 16th IAPR International Workshop on Document Analysis Systems, DAS 2024, held in Athens, Greece, during August 30-31, 2024. The 27 full papers presented were carefully reviewed and selected from 43 submissions addressing topics like: document analysis and understanding; retrieval and VQA; layout analysis; document classification; OCR correction and NLP; recognition systems; and historical documents. .

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