Reading and learning : adaptive content recognition

The amounts of information that are ?ooding people both at the workplace and in private life have increased dramatically in the past ten years. The number of paper documents doubles every four years, and the amount of information stored on all data carriers every six years. New knowledge, however, i...

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Gorde:
Xehetasun bibliografikoak
Egile nagusia: Dengel, Andreas
Beste egile batzuk: Junker, Markus (Argitalpenaren zuzendaria), Weisbecker, Anette (Argitalpenaren zuzendaria)
Formatua: Livre numérique
Hizkuntza:Anglais
Argitaratua: Berlin [etc.] : Springer [20..].
Cham : Springer Nature
Saila:Lecture notes in computer science 2956
Gaiak:
Sarrera elektronikoa:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Oharra: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Reading and learning, adaptive content recognition, Andreas Dengel, Markus Junker, Anette Weisbecker (eds.), Berlin, Springer, 2004, 1 vol. (XII-354 p.), Lecture notes in computer science, 3-540-21904-8
• Reading and Learning, Texte imprimé, 9783662180167
Aurkibidea:
  • Error Tolerant Color Deskew
  • Adaptive Threshold
  • Neighbourhood Related Color Segmentation Based on a Fuzzy Color Classification TooL
  • Improving Image Processing Systems by Artificial Neural Networks
  • Adaptive Segmentation of Multicoloured Documents without a Marked Background
  • Recognition of Short Handwritten Texts
  • Handwritten Address Recognition Using Hidden Markov Models
  • Adaptive Combination of Commercial OCR Systems
  • Component-Based Software Engineering Methods for Systems in Document Recognition, Analysis, and Understanding
  • A Component-Based Framework for Recognition Systems
  • smartFIX: An Adaptive System for Document Analysis and Understanding
  • How Postal Address Readers Are Made Adaptive
  • A Tool for Semi-automatic Document Reengineering
  • Inspecting Document Collections
  • Introducing Query Expansion Methods for Collaborative Information Retrieval
  • Improving Document Transformation Techniques with Collaborative Learned Term-Based Concepts
  • Passage Retrieval Based on Density Distributions of Terms and Its Applications to Document Retrieval and Question Answering
  • Results of a Survey about the Use of Tools in the Area of Document Management.