Web Document Analysis
Web Document Analysis

Author: Apostolos Antonacopoulos

Publisher: World Scientific

Published: 2003

Total Pages: 346

ISBN-13: 9812385827

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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 fat content extraction and web mining, adaptive web content delivery, multimedia document modeling and human interactive proofs for web security.

Digital Color Imaging
Digital Color Imaging

Author: Christine Fernandez-Maloigne

Publisher: John Wiley & Sons

Published: 2013-03-04

Total Pages: 238

ISBN-13: 1118614267

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This collective work identifies the latest developments in the field of the automatic processing and analysis of digital color images. For researchers and students, it represents a critical state of the art on the scientific issues raised by the various steps constituting the chain of color image processing. It covers a wide range of topics related to computational color imaging, including color filtering and segmentation, color texture characterization, color invariant for object recognition, color and motion analysis, as well as color image and video indexing and retrieval. Contents 1. Color Representation and Processing in Polar Color Spaces, Jesús Angulo, Sébastien Lefèvre and Olivier Lezoray. 2. Adaptive Median Color Filtering, Frédérique Robert-Inacio and Eric Dinet. 3. Anisotropic Diffusion PDEs for Regularization of Multichannel Images: Formalisms and Applications, David Tschumperlé. 4. Linear Prediction in Spaces with Separate Achromatic and Chromatic Information,Olivier Alata, Imtnan Qazi, Jean-Christophe Burie and Christine Fernandez-Maloigne. 5. Region Segmentation, Alain Clément, Laurent Busin, Olivier Lezoray and Ludovic Macaire. 6. Color Texture Attributes, Nicolas Vandenbroucke, Olivier Alata, Christèle Lecomte, Alice Porebski and Imtnan Qazi. 7. Photometric Color Invariants for Object Recognition, Damien Muselet. 8. Color Key Point Detectors and Local Color Descriptors, Damien Muselet and Xiaohu Song. 9. Motion Estimation in Color Image Sequences, Bertrand Augereau and Jenny Benois-Pineau.

No Stinkin’ Grammar Ii
No Stinkin’ Grammar Ii

Author: Joseph M. Nixon Ph. D.

Publisher: AuthorHouse

Published: 2022-02-07

Total Pages: 109

ISBN-13: 1665545615

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The Author’s work reflects researching the intricacies of the English language. The section about spelling reinforces the point that learning to spell words is a matter of memorization, given the immense number of exceptions to every rule of spelling. One cannot simply spell a word by using the letters that one hears when saying the word. English is an exceptionally difficult language both to learn and to teach, as clearly pointed out in both No Stinkin’ Grammar I and the current volume. I urge English teachers to read these books, not only for further knowledge of the English language, but also to remind themselves that the teaching of English grammar, writing, and spelling is a monumental and essential task. No Stinkin’ Grammar II delves deeply into the intricacies of the English language. The Author’s insight is presented in an easy-to-read, sometimes humorous approach. He presents information from the viewpoint of a writer who is challenged by the “stinkin’ grammar” of the exceptional English language.

Web Recommendations Systems
Web Recommendations Systems

Author: K. R. Venugopal

Publisher: Springer Nature

Published: 2020-03-02

Total Pages: 178

ISBN-13: 9811525137

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This book focuses on Web recommender systems, offering an overview of approaches to develop these state-of-the-art systems. It also presents algorithmic approaches in the field of Web recommendations by extracting knowledge from Web logs, Web page content and hyperlinks. Recommender systems have been used in diverse applications, including query log mining, social networking, news recommendations and computational advertising, and with the explosive growth of Web content, Web recommendations have become a critical aspect of all search engines. The book discusses how to measure the effectiveness of recommender systems, illustrating the methods with practical case studies. It strikes a balance between fundamental concepts and state-of-the-art technologies, providing readers with valuable insights into Web recommender systems.

Computational Intelligence for Modelling, Control & Automation
Computational Intelligence for Modelling, Control & Automation

Author: Masoud Mohammadian

Publisher: IOS Press

Published: 1999

Total Pages: 354

ISBN-13: 9789051994759

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This edited volume is dedicated to the theory and applications of Computational Intelligence techniques for Intelligent Image Processing, Data Analysis and Information Retrieval. It consists of 52 accepted research papers from the 1999 International Conference on Computational Intelligence for Modeling, Control and Automation - CIMCA'99. The goal of this conference was to provide a medium for the exchange of ideas between theoreticians and practitioners to address the important issues in computational intelligence for modelling, control and automation. The research papers presented in this book cover new techniques and applications in the of Image Processing, Computer Vision, Multimedia Systems, Filtering, Classification, Data Analysis, Prediction, Intelligent Database and Information Retrievals.