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Author:
Publisher:
ISBN:
Category : Image processing
Languages : en
Pages : 244
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Book Description
Author: Simone Marinai
Publisher: Springer Science & Business Media
ISBN: 3540762795
Category : Computers
Languages : en
Pages : 435
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Book Description
The objective of Document Analysis and Recognition (DAR) is to recognize the text and graphical components of a document and to extract information. This book is a collection of research papers and state-of-the-art reviews by leading researchers all over the world. It includes pointers to challenges and opportunities for future research directions. The main goal of the book is to identify good practices for the use of learning strategies in DAR.
Author: Elisa H. Barney Smith
Publisher: Springer Nature
ISBN: 303170536X
Category :
Languages : en
Pages : 461
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Book Description
Author: Daniel Lopresti
Publisher: Springer
ISBN: 3540458697
Category : Computers
Languages : en
Pages : 582
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Book Description
This book constitutes the refereed proceedings of the 5th International Workshop on Document Analysis Systems, DAS 2002, held in Princeton, NJ, USA in August 2002 with sponsorship from IAPR.The 44 revised full papers presented together with 14 short papers were carefuly reviwed and selected for inclusion in the book. All current issues in document analysis systems are adressed. The papers are organized in topical sections on OCR features and systems, handwriting recognition, layout analysis, classifiers and learning, tables and forms, text extraction, indexing and retrieval, document engineering, and new applications.
Author: Marenglen Biba
Publisher: Springer Science & Business Media
ISBN: 3642229123
Category : Computers
Languages : en
Pages : 449
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Book Description
The rapidly growing volume of available digital documents of various formats and the possibility to access these through Internet-based technologies, have led to the necessity to develop solid methods to properly organize and structure documents in large digital libraries and repositories. Due to the extremely large volumes of documents and to their unstructured form, most of the research efforts in this direction are dedicated to automatically infer structure and schemas that can help to better organize huge collections of documents and data. This book covers the latest advances in structure inference in heterogeneous collections of documents and data. The book brings a comprehensive view of the state-of-the-art in the area, presents some lessons learned and identifies new research issues, challenges and opportunities for further research agenda and developments. The selected chapters cover a broad range of research issues, from theoretical approaches to case studies and best practices in the field. Researcher, software developers, practitioners and students interested in the field of learning structure and schemas from documents will find the comprehensive coverage of this book useful for their research, academic, development and practice activity.
Author: Bidyut Baran Chaudhuri
Publisher: World Scientific
ISBN: 9814583898
Category : Computers
Languages : en
Pages : 334
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Book Description
From the participation of researchers in most important international conferences in the field, it is noted that activities in automatic document processing have been continuously growing. This book is an edited volume in Digital Document Processing where the chapters are written by several internationally renowned researchers in the domain. It will be useful for both students and researchers working on various aspects of document image analysis and recognition problems. It contains chapters on topics that are not covered by any textbook, but are more futuristic like “Going beyond the Myth of Paperlessness”, or interesting application areas like “The Role of Document Image Analysis in Trustworthy Elections” as well as “Word Recognition for Museum Index Cards with SNT-Grid”. Persons developing document analysis software for industry may also find the chapters useful and attractive. The language of the chapters is simple and clear, along with drawings/diagrams wherever necessary. An adequate number of references are given at the end of each chapter. Overall, the book is highly readable and will be an asset to the community. Renowned contributors include George Nagy, Hiromichi Fujisawa, F Kimura, D Lopresti, Chew Lim Tan, S Uchida, Thierry Paquet, Laurent Heutte, V Govindaraju, R Manmatha.
Author: Christopher D. Manning
Publisher: Cambridge University Press
ISBN: 1139472100
Category : Computers
Languages : en
Pages :
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Book Description
Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Slides and additional exercises (with solutions for lecturers) are also available through the book's supporting website to help course instructors prepare their lectures.
Author: Apostolos Antonacopoulos
Publisher: World Scientific
ISBN: 9789812775375
Category : Computers
Languages : en
Pages : 348
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Book Description
This book provides the first comprehensive look at the emerging field of web document analysis. It sets the scene in this new field by combining state-of-the-art reviews of challenges and opportunities with research papers by leading researchers. Readers will find in-depth discussions on the many diverse and interdisciplinary areas within the field, including web image processing, applications of machine learning and graph theories for content extraction and web mining, adaptive web content delivery, multimedia document modeling and human interactive proofs for web security. Contents: Content Extraction and Web Mining; Document Analysis for Adaptive Content Delivery; Table Understanding on the Web; Web Image Analysis and Retrieval; New Opportunities. Readership: Graduate students and researchers in document-analysis and web communities.
Author: László Kovács
Publisher: Springer
ISBN: 3540748512
Category : Computers
Languages : en
Pages : 601
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Book Description
This book constitutes the refereed proceedings of the 10th European Conference on Research and Advanced Technology for Digital Libraries, ECDL 2007, held in Budapest, Hungary. The papers are organized in topical sections on ontologies, digital libraries and the web, models, multimedia and multilingual DLs, grid and peer-to-peer, preservation, user interfaces, document linking, information retrieval, personal information management, new DL applications, and user studies.
Author: Initiative for the Evaluation of XML Retrieval (Project). International Workshop
Publisher: Springer Science & Business Media
ISBN: 3540859012
Category : Computers
Languages : en
Pages : 466
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Book Description
This book constitutes the thoroughly refereed post-conference proceedings of the 6th International Workshop of the Initiative for the Evaluation of XML Retrieval, INEX 2007, held at Dagstuhl Castle, Germany, in December 2007. The 37 revised full papers presented were carefully reviewed and selected for presentation at the workshop from 50 initial submissions. The papers are organized in an ad hoc track and 6 topical sections on book search, XML-mining, entity ranking, interactive, link-the-wiki, and multimedia.
Author: Alfredo Petrosino
Publisher: Springer
ISBN: 3642411819
Category : Computers
Languages : en
Pages : 883
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Book Description
This two volume set (LNCS 8156 and 8157) constitutes the refereed proceedings of the 17th International Conference on Image Analysis and Processing, ICIAP 2013, held in Naples, Italy, in September 2013. The 162 papers presented were carefully reviewed and selected from 354 submissions. The papers aim at highlighting the connection and synergies of image processing and analysis with pattern recognition and machine learning, human computer systems, biomedical imaging and applications, multimedia interaction and processing, 3D computer vision, and understanding objects and scene.
