Introduction to Video Search Engines, David C. Gibbon; Zhu Liu

Автор: Sergios Theodoridis
Название: Introduction to Pattern Recognition: A Matlab Approach,
ISBN: 0123744865 ISBN-13(EAN): 9780123744869
Издательство: Elsevier Science
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Цена: 37050.00 T
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Описание: An accompanying manual to "Theodoridis/Koutroumbas, Pattern Recognition", that includes Matlab code of the most common methods and algorithms in the book, together with a descriptive summary and solved examples, and including real-life data sets in imaging and audio recognition.

Автор: Jiaheng Lu
Название: An Introduction to XML Query Processing and Keyword Search
ISBN: 3642446078 ISBN-13(EAN): 9783642446078
Издательство: Springer
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Цена: 111790.00 T
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Описание: This book systematically and comprehensively covers the latest advances in XML data searching. It presents an extensive overview of the current query processing and keyword search techniques on XML data.

Автор: Igual, Laura, Segu?, Santi
Название: Introduction to data science.
ISBN: 3319500163 ISBN-13(EAN): 9783319500164
Издательство: Springer
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Цена: 45610.00 T
Наличие на складе: Поставка под заказ.
Описание: The coverage spans key concepts adopted from statistics and machine learning, useful techniques for graph analysis and parallel programming, and the practical application of data science for such tasks as building recommender systems or performing sentiment analysis.

Автор: George Meghabghab; Abraham Kandel
Название: Search Engines, Link Analysis, and User`s Web Behavior
ISBN: 3642096166 ISBN-13(EAN): 9783642096167
Издательство: Springer
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Цена: 222670.00 T
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Описание: This book presents a specific and unified approach framework to three major components: Search Engines Performance, Link Analysis, and User`s Web Behavior.

Автор: Buttcher Stefan, Clarke Charles L. A., Cormack Gordon V.
Название: Information Retrieval: Implementing and Evaluating Search Engines
ISBN: 0262528878 ISBN-13(EAN): 9780262528870
Издательство: MIT Press
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Цена: 50790.00 T
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Описание:

An introduction to information retrieval, the foundation for modern search engines, that emphasizes implementation and experimentation.

Information retrieval is the foundation for modern search engines. This textbook offers an introduction to the core topics underlying modern search technologies, including algorithms, data structures, indexing, retrieval, and evaluation. The emphasis is on implementation and experimentation; each chapter includes exercises and suggestions for student projects. Wumpus -- a multiuser open-source information retrieval system developed by one of the authors and available online -- provides model implementations and a basis for student work. The modular structure of the book allows instructors to use it in a variety of graduate-level courses, including courses taught from a database systems perspective, traditional information retrieval courses with a focus on IR theory, and courses covering the basics of Web retrieval. In addition to its classroom use, Information Retrieval will be a valuable reference for professionals in computer science, computer engineering, and software engineering.

Автор: Edward M. Mikhail
Название: Introduction to Modern Photogrammetry
ISBN: 0471309249 ISBN-13(EAN): 9780471309246
Издательство: Wiley
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Цена: 255500.00 T
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Описание: This text is designed to give students a grounding in the mathematical basis of photogrammetry while introducing them to the related fields, such as remote sensing and digital image processing, which are increasingly important to photogrammetric research and practice.

Автор: Miroslav Kubat
Название: An Introduction to Machine Learning
ISBN: 3319348868 ISBN-13(EAN): 9783319348865
Издательство: Springer
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Цена: 46570.00 T
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Описание: This book presents basic ideas of machine learning in a way that is easy to understand, by providing hands-on practical advice, using simple examples, and motivating students with discussions of interesting applications.

Автор: Andr? Marion
Название: Introduction to Image Processing
ISBN: 0442312024 ISBN-13(EAN): 9780442312022
Издательство: Springer
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Цена: 81050.00 T
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Описание: Such developments follow naturally, since communication systems and image-forming systems are all designed to receive or transmit information. It is a question of systems theory, particularly linear systems, and of Fourier`s analysis methods, which together constitute an important part of Signal Theory.

Автор: David F. Walnut
Название: An Introduction to Wavelet Analysis
ISBN: 1461265673 ISBN-13(EAN): 9781461265672
Издательство: Springer
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Цена: 46570.00 T
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Описание: This book provides a comprehensive presentation of the conceptual basis of wavelet analysis, including the construction and analysis of wavelet bases.

Автор: Manning, Christopher D. Raghavan, Prabhakar Schutz
Название: Introduction to information retrieval
ISBN: 0521865719 ISBN-13(EAN): 9780521865715
Издательство: Cambridge Academ
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Цена: 60190.00 T
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Описание: Class-tested and coherent, this textbook teaches information retrieval, including web search, text classification, and text clustering from basic concepts. Ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students. Slides and additional exercises are available for lecturers.

Автор: Ole Christensen
Название: An Introduction to Frames and Riesz Bases
ISBN: 1461265002 ISBN-13(EAN): 9781461265009
Издательство: Springer
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Цена: 46570.00 T
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Описание: The Applied and Numerical Harmonic Analysis ( ANHA) book series aims to provide the engineering, mathematical, and scientific communities with significant developments in harmonic analysis, ranging from abstract har- monic analysis to basic applications.

Автор: Foucart Simon
Название: Mathematical Introduction to Compressive Sensing
ISBN: 0817649476 ISBN-13(EAN): 9780817649470
Издательство: Springer
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Цена: 65210.00 T
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Описание: At the intersection of mathematics, engineering, and computer science sits the thriving field of compressive sensing. A Mathematical Introduction to Compressive Sensing uses a mathematical perspective to present the core of the theory underlying compressive sensing.