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Home > Computing and Information Technology > Computer science > Artificial intelligence > Expert systems / knowledge-based systems > Reading and Learning: Adaptive Content Recognition(2956 Lecture Notes in Computer Science)
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Reading and Learning: Adaptive Content Recognition(2956 Lecture Notes in Computer Science)

Reading and Learning: Adaptive Content Recognition(2956 Lecture Notes in Computer Science)


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About the Book

This book presents major research and development findings achieved in the project Adaptive READ funded by the German Federal Ministry of Education and Research. Beyond techniques and systems for reading and recording documents, the emphasis of this project and the resulting book is rather on the formulation and prototype-style implementation of concepts to make document analysis systems adaptive in real-world scenarios. Furthermore, learning techniques are presented allowing for efficient content recognition and intelligent retrieval of information.

Table of Contents:
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.


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Product Details
  • ISBN-13: 9783540219040
  • Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
  • Publisher Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • Height: 235 mm
  • No of Pages: 356
  • Returnable: N
  • Sub Title: Adaptive Content Recognition
  • ISBN-10: 3540219048
  • Publisher Date: 16 Apr 2004
  • Binding: Paperback
  • Language: English
  • Returnable: Y
  • Series Title: 2956 Lecture Notes in Computer Science
  • Width: 155 mm


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Reading and Learning: Adaptive Content Recognition(2956 Lecture Notes in Computer Science)
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Reading and Learning: Adaptive Content Recognition(2956 Lecture Notes in Computer Science)
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