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Probabilistic Indexing for Information Search and Retrieval in Large Collections of Handwritten Text Images

This book provides a comprehensive presentation of a recently introduced framework, named "probabilistic indexing" (PrIx), for searching text in large collections of document images and other related applications. It fosters the development of new search engines for effective information r...

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Detalles Bibliográficos
Main Authors: Toselli, Alejandro Héctor (Author), Puigcerver, Joan (Author), Vidal, Enrique (Author)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:inglés
Publicado: Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Edición:1st ed. 2024.
Series:The Information Retrieval Series, 49
Subjects:
Information storage and retrieval systems.
Computer science > Mathematics.
Mathematical statistics.
Artificial intelligence.
Data mining.
Information Storage and Retrieval.
Probability and Statistics in Computer Science.
Artificial Intelligence.
Data Mining and Knowledge Discovery.
Acceso en liña:https://doi.org/10.1007/978-3-031-55389-9
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Table of Contents:
  • Preface
  • Acronyms
  • Introduction
  • State of the Art
  • Probabilistic Indexing (PrIx) Framework
  • Probabilistic Models for Handwritten Text
  • Probabilistic Indexing for Fast and Effective Information Retrieval. - Empirical Validation of Probabilistic Indexing Methods. - Conclusion and Outlook
  • Appendices.

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