String Processing and Information Retrieval, Nieves R. Brisaboa; Simon J. Puglisi

Автор: Amihood Amir; Andrew Turpin; Alistair Moffat
Название: String Processing and Information Retrieval
ISBN: 3540890963 ISBN-13(EAN): 9783540890966
Издательство: Springer
Рейтинг:
Цена: 65210.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Constitutes the refereed proceedings of the 15th International Symposium on String Processing and Information Retrieval, SPIRE 2008, held in Melbourne, Australia, in November 2008. This book presents the papers that are organized in topical sections on compression and performance, information retrieval scoring and ranking, and self-indexing.

Автор: Jussi Karlgren; Jorma Tarhio; Heikki Hyyr?
Название: String Processing and Information Retrieval
ISBN: 3642037836 ISBN-13(EAN): 9783642037832
Издательство: Springer
Рейтинг:
Цена: 69870.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The papers are organized in topical sections on algorithms on trees, compressed indexes, compression, indexing, content analysis, string algorithms and bioinformatics, string algorithms and theory, and using and understanding usage.

Автор: Susanne Ornager, Haakon Lund
Название: Images in Social Media: Categorization and Organization of Images and Their Collections
ISBN: 1681732777 ISBN-13(EAN): 9781681732770
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 72070.00 T
Наличие на складе: Невозможна поставка.
Описание: This book focuses on the methodologies, organization, and communication of digital image collection research that utilizes social media content. (""Image"" is here understood as a cultural, conventional, and commercial—stock photo—representation.) The lecture offers expert views that provide different interpretations of images and their potential implementations. Linguistic and semiotic methodologies as well as eye-tracking research are employed to both analyze images and comprehend how humans consider them, including which salient features generally attract viewers' attention.This literature review covers image—specifically photographic—research since 2005, when major social media platforms emerged. A citation analysis includes an overview of co-citation maps that demonstrate the nexus of image research literature and the journals in which they appear. Eye tracking tests whether scholarly templates focus on the proper features of an image, such as people, objects, time, etc., and if a prescribed theme affects the eye movements of the observer. The results may point to renewed requirements for building image search engines. As it stands, image management already requires new algorithms and a new understanding that involves text recognition and very large database processing.The aim of this book is to present different image research areas and demonstrate the challenges image research faces. The book's scope is, by necessity, far from comprehensive, since the field of digital image research does not cover fake news, image manipulation, mobile photos, etc.; these issues are very complex and need a publication of their own. This book should primarily be useful for students in library and information science, psychology, and computer science.

Автор: Susanne Ornager, Haakon Lund
Название: Images in Social Media: Categorization and Organization of Images and Their Collections
ISBN: 1681730790 ISBN-13(EAN): 9781681730790
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 51750.00 T
Наличие на складе: Невозможна поставка.
Описание: This book focuses on the methodologies, organization, and communication of digital image collection research that utilizes social media content. (""Image"" is here understood as a cultural, conventional, and commercial—stock photo—representation.) The lecture offers expert views that provide different interpretations of images and their potential implementations. Linguistic and semiotic methodologies as well as eye-tracking research are employed to both analyze images and comprehend how humans consider them, including which salient features generally attract viewers' attention.This literature review covers image—specifically photographic—research since 2005, when major social media platforms emerged. A citation analysis includes an overview of co-citation maps that demonstrate the nexus of image research literature and the journals in which they appear. Eye tracking tests whether scholarly templates focus on the proper features of an image, such as people, objects, time, etc., and if a prescribed theme affects the eye movements of the observer. The results may point to renewed requirements for building image search engines. As it stands, image management already requires new algorithms and a new understanding that involves text recognition and very large database processing.The aim of this book is to present different image research areas and demonstrate the challenges image research faces. The book's scope is, by necessity, far from comprehensive, since the field of digital image research does not cover fake news, image manipulation, mobile photos, etc.; these issues are very complex and need a publication of their own. This book should primarily be useful for students in library and information science, psychology, and computer science.

Автор: Watrous, John (university Of Waterloo, Ontario)
Название: The theory of quantum information
ISBN: 1107180562 ISBN-13(EAN): 9781107180567
Издательство: Cambridge Academ
Рейтинг:
Цена: 77090.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Intended for graduate students and researchers, this book presents a formal development of the mathematical theory of quantum information. Largely self-contained, with clear proofs and a wide range of exercises, it will help the reader grasp the fundamental facts and techniques that form the mathematical foundations of the subject.

Автор: Inenaga
Название: String Processing and Information Retrieval
ISBN: 331946048X ISBN-13(EAN): 9783319460482
Издательство: Springer
Рейтинг:
Цена: 46590.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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: Gabriele Fici; Marinella Sciortino; Rossano Ventur
Название: String Processing and Information Retrieval
ISBN: 3319674277 ISBN-13(EAN): 9783319674278
Издательство: Springer
Рейтинг:
Цена: 60550.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the proceedings of the 24th International Symposium on String Processing and Information Retrieval, SPIRE 2017, held in Palermo, Italy, in September 2017. They focus on fundamental studies on string processing and information retrieval, as well as on computational biology.

Автор: Edleno Moura; Maxime Crochemore
Название: String Processing and Information Retrieval
ISBN: 3319119176 ISBN-13(EAN): 9783319119175
Издательство: Springer
Рейтинг:
Цена: 44720.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the proceedings of the 21st International Symposium on String Processing and Information Retrieval, SPIRE 2014, held in Ouro Preto, Brazil, in October 2014.

Автор: Costas Iliopoulos; Simon Puglisi; Emine Yilmaz
Название: String Processing and Information Retrieval
ISBN: 3319238256 ISBN-13(EAN): 9783319238258
Издательство: Springer
Рейтинг:
Цена: 52170.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the 22nd International Symposium on String Processing and Information Retrieval, SPIRE 2015, held in London, UK, in September 2015.

Автор: Oren Kurland; Moshe Lewenstein; Ely Porat
Название: String Processing and Information Retrieval
ISBN: 3319024310 ISBN-13(EAN): 9783319024318
Издательство: Springer
Рейтинг:
Цена: 46570.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the 20th International Symposium on String Processing and Information Retrieval, SPIRE 2013, held in Jerusalem, Israel, in October 2013. The 18 full papers, 10 short papers were carefully reviewed and selected from 60 submissions.

Автор: Travis Gagie; Alistair Moffat; Gonzalo Navarro; Er
Название: String Processing and Information Retrieval
ISBN: 3030004783 ISBN-13(EAN): 9783030004781
Издательство: Springer
Рейтинг:
Цена: 61480.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the 25th International Symposium on String Processing and Information Retrieval, SPIRE 2018, held in Lima, Peru, in October 2018. The 22 full papers and 6 short papers presented were carefully reviewed and selected from 51 submissions. They focus on fundamental studies on string processing and information retrieval, as well as on computational biology.

Автор: Robert M. Losee
Название: Predicting Information Retrieval Performance
ISBN: 1681734729 ISBN-13(EAN): 9781681734729
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 41580.00 T
Наличие на складе: Невозможна поставка.
Описание: Information Retrieval performance measures are usually retrospective in nature, representing the effectiveness of an experimental process. However, in the sciences, phenomena may be predicted, given parameter values of the system. After developing a measure that can be applied retrospectively or can be predicted, performance of a system using a single term can be predicted given several different types of probabilistic distributions. Information Retrieval performance can be predicted with multiple terms, where statistical dependence between terms exists and is understood. These predictive models may be applied to realistic problems, and then the results may be used to validate the accuracy of the methods used. The application of metadata or index labels can be used to determine whether or not these features should be used in particular cases. Linguistic information, such as part-of-speech tag information, can increase the discrimination value of existing terminology and can be studied predictively.This work provides methods for measuring performance that may be used predictively. Means of predicting these performance measures are provided, both for the simple case of a single term in the query and for multiple terms. Methods of applying these formulae are also suggested.