A Feature-Centric View of Information Retrieval, Donald Metzler

Автор: Damon
Название: Local Features in Natural Images via Singularity Theory
ISBN: 3319414704 ISBN-13(EAN): 9783319414706
Издательство: Springer
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Цена: 6288.00 р.
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Описание: This monograph considers a basic problem in the computer analysis of natural images, which are images of scenes involving multiple objects that are obtained by a camera lens or a viewer’s eye. The goal is to detect geometric features of objects in the image and to separate regions of the objects with distinct visual properties. When the scene is illuminated by a single principal light source, we further include the visual clues resulting from the interaction of the geometric features of objects, the shade/shadow regions on the objects, and the “apparent contours”. We do so by a mathematical analysis using a repertoire of methods in singularity theory. This is applied for generic light directions of both the “stable configurations” for these interactions, whose features remain unchanged under small viewer movement, and the generic changes which occur under changes of view directions. These may then be used to differentiate between objects and determine their shapes and positions.

Автор: Inenaga
Название: String Processing and Information Retrieval
ISBN: 331946048X ISBN-13(EAN): 9783319460482
Издательство: Springer
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Цена: 6988.00 р.
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Описание: This book constitutes the refereed proceedings of the 23rd International Symposium on String Processing and Information Retrieval, SPIRE 2016, held in Beppu, Japan, in October 2016.

Автор: Massimo Melucci; Ricardo Baeza-Yates
Название: Advanced Topics in Information Retrieval
ISBN: 3642268633 ISBN-13(EAN): 9783642268632
Издательство: Springer
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Цена: 16070.00 р.
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Описание: In this book, the authors, selected from the lecturers of the European Summer School in Information Retrieval, illustrate key problems and topics in the current development of Information Retrieval and on future search engine technology.

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: 7618.00 р.
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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: Zbigniew W. Ras; Alicja Wieczorkowska
Название: Advances in Music Information Retrieval
ISBN: 3642262716 ISBN-13(EAN): 9783642262715
Издательство: Springer
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Цена: 26120.00 р.
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Описание: This book collects research performed in music information retrieval domain, and the outcomes, as well as trends in this research. Four sections cover MIR Methods and Platforms, Harmony, Music Similarity, and Content Based Identification and Retrieval.

Автор: Mihai Lupu; Katja Mayer; Noriko Kando; Anthony J.
Название: Current Challenges in Patent Information Retrieval
ISBN: 3662538164 ISBN-13(EAN): 9783662538166
Издательство: Springer
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Цена: 19564.00 р.
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Описание: Intellectual property in the form of patents plays a vital role in today`s increasingly knowledge-based economy. This book assembles state-of-the art research and is intended to illustrate innovative approaches to patent information retrieval.

Автор: Richard Chbeir; Youakim Badr; Ajith Abraham; Aboul
Название: Emergent Web Intelligence: Advanced Information Retrieval
ISBN: 1447125495 ISBN-13(EAN): 9781447125495
Издательство: Springer
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Цена: 27251.00 р.
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Описание: This volume reviews cutting-edge technologies and insights related to XML-based and multimedia information access and data retrieval. And by applying new techniques to real-world scenarios, it details how organizations can gain competitive advantages.

Автор: Braslavski
Название: Information Retrieval
ISBN: 3319417177 ISBN-13(EAN): 9783319417172
Издательство: Springer
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Цена: 6988.00 р.
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Описание: This book constitutes the thoroughly refereed proceedings of the 9th Russian Summer School on Information Retrieval, RuSSIR 2015, held in Saint Petersburg, Russia, in August 2015.The volume includes 5 tutorial papers, summarizing lectures given at the event, and 6 revised papers from the school participants. The papers focus on various aspects of information retrieval.

Автор: Dawei Song; Chin-Yew Lin; Akiko Aizawa; Kazuko Kur
Название: Information Retrieval Technology
ISBN: 3642047688 ISBN-13(EAN): 9783642047688
Издательство: Springer
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Цена: 12577.00 р.
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Описание: This book constitutes the refereed proceedings of the 5th Asia Information Retrieval Symposium, AIRS 2009, held in Sapporo, Japan, in October 2009. The 18 revised full papers and 20 revised poster papers presented were carefully reviewed and selected from 82 submissions.