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Feature Extraction, Isabelle Guyon; Steve Gunn; Masoud Nikravesh; Loft


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Автор: Isabelle Guyon; Steve Gunn; Masoud Nikravesh; Loft
Название:  Feature Extraction
ISBN: 9783662517710
Издательство: Springer
Классификация:





ISBN-10: 366251771X
Обложка/Формат: Paperback
Страницы: 778
Вес: 1.10 кг.
Дата издания: 30.04.2017
Серия: Studies in Fuzziness and Soft Computing
Язык: English
Размер: 234 x 156 x 41
Основная тема: Computer Science
Подзаголовок: Foundations and Applications
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book is both a reference for engineers and scientists and a teaching resource, featuring tutorial chapters and research papers on feature extraction. Until now there has been insufficient consideration of feature selection algorithms, no unified presentation of leading methods, and no systematic comparisons.


Image Feature Detectors and Descriptors

Автор: Ali Ismail Awad; Mahmoud Hassaballah
Название: Image Feature Detectors and Descriptors
ISBN: 3319288520 ISBN-13(EAN): 9783319288529
Издательство: Springer
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Цена: 20896.00 р.
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Описание: This bookprovides readers with a selection of high-quality chapters that cover boththeoretical concepts and practical applications of image feature detectors anddescriptors. It serves as reference for researchers and practitioners byfeaturing survey chapters and research contributions on image feature detectorsand descriptors.

A Feature-Centric View of Information Retrieval

Автор: Donald Metzler
Название: A Feature-Centric View of Information Retrieval
ISBN: 3642270174 ISBN-13(EAN): 9783642270178
Издательство: Springer
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Цена: 13275.00 р.
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Описание: In this work, Metzler describes highly effective information retrieval models for both smaller, classical data sets, and larger Web collections. In a shift away from heuristic, hand-tuned ranking functions and complex probabilistic models, he presents feature-based retrieval models. As he shows, combining term dependencies and arbitrary features results in a very robust, powerful retrieval model.

Local Features in Natural Images via Singularity Theory

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.

A Survey of Characteristic Engine Features for Technology-Sustained Pervasive Games

Автор: Kim J.L. Nevelsteen
Название: A Survey of Characteristic Engine Features for Technology-Sustained Pervasive Games
ISBN: 3319176315 ISBN-13(EAN): 9783319176314
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book scrutinizes pervasive games from a technological perspective, focusing on the sub-domain of games that satisfy the criteria that they make use of virtual game elements. In the computer game industry, the use of a game engine to build games is common, but current game engines do not support pervasive games.

Video Object Extraction and Representation

Автор: I-Jong Lin; S.Y. Kung
Название: Video Object Extraction and Representation
ISBN: 1475783841 ISBN-13(EAN): 9781475783841
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This book studies two major problems of content-based video proce- ing for a media-based technology: Video Object Plane (VOP) Extr- tion and Representation, in support of the MPEG-4 and MPEG-7 video standards, respectively.

Extraction of Quantifiable Information from Complex Systems

Автор: Stephan Dahlke; Wolfgang Dahmen; Michael Griebel;
Название: Extraction of Quantifiable Information from Complex Systems
ISBN: 3319346016 ISBN-13(EAN): 9783319346014
Издательство: Springer
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Цена: 13275.00 р.
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Описание: Recent developments in mathematics suggest that, in the long run, much more powerful numerical solution strategies could be derived if the interconnections between the different fields of research were systematically exploited at a conceptual level.

Information Extraction: A Multidisciplinary Approach to an Emerging Information Technology

Автор: Maria T. Pazienza
Название: Information Extraction: A Multidisciplinary Approach to an Emerging Information Technology
ISBN: 354063438X ISBN-13(EAN): 9783540634386
Издательство: Springer
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Цена: 5031.00 р.
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Описание: Information extraction (IE) is a technology enabling the relevant content to be extracted from textual information available electronically. This monograph is devoted to this field and should be of interest to those working in information processing technology.

Progress in Artificial Intelligence: Knowledge Extraction, Multi-agent Systems, Logic Programming, and Constraint Solving

Автор: Pavel Brazdil; Alipio Jorge
Название: Progress in Artificial Intelligence: Knowledge Extraction, Multi-agent Systems, Logic Programming, and Constraint Solving
ISBN: 354043030X ISBN-13(EAN): 9783540430308
Издательство: Springer
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Цена: 10480.00 р.
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Описание: The tenth Portuguese Conference on Arti?cial Intelligence, EPIA 2001 was held in Porto and continued the tradition of previous conferences in the series. The conference was organized, as usual, under the auspices of the Portuguese Association for Arti?cial Intelligence (APPIA, http://www.appia.pt).

Advances in Feature Selection for Data and Pattern Recognition

Автор: Urszula Sta?czyk; Beata Zielosko; Lakhmi C. Jain
Название: Advances in Feature Selection for Data and Pattern Recognition
ISBN: 3319675877 ISBN-13(EAN): 9783319675879
Издательство: Springer
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Цена: 20962.00 р.
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Описание: This book presents recent developments and research trends in the field of feature selection for data and pattern recognition, highlighting a number of recent advances. The field of feature selection is evolving constantly, providing numerous new algorithms, new solutions and new applications.

Computational Intelligence in Multi-Feature Visual Pattern Recognition

Автор: Pramod Kumar Pisharady; Prahlad Vadakkepat; Loh Ai
Название: Computational Intelligence in Multi-Feature Visual Pattern Recognition
ISBN: 9811011710 ISBN-13(EAN): 9789811011719
Издательство: Springer
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Цена: 15672.00 р.
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Описание: This book presents a collection of computational intelligence algorithms that addresses issues in visual pattern recognition such as high computational complexity, abundance of pattern features, sensitivity to size and shape variations and poor performance against complex backgrounds.

Automatic Extraction of Man-Made Objects from Aerial and Space Images (II)

Автор: Armin Gruen; E.P. Baltsavias; O. Henricsson
Название: Automatic Extraction of Man-Made Objects from Aerial and Space Images (II)
ISBN: 3034898223 ISBN-13(EAN): 9783034898225
Издательство: Springer
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Цена: 18860.00 р.
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Описание: Advancements in digital sensor technology, digital image analysis techniques, as well as computer software and hardware have brought together the fields of computer vision and photogrammetry, which are now converging towards sharing, to a great extent, objectives and algorithms.

The Mathematics of Information Coding, Extraction and Distribution

Автор: George Cybenko; Dianne P. O`Leary; Jorma Rissanen
Название: The Mathematics of Information Coding, Extraction and Distribution
ISBN: 1461271789 ISBN-13(EAN): 9781461271789
Издательство: Springer
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Цена: 13974.00 р.
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Описание: High performance computing consumes and generates vast amounts of data, and the storage, retrieval, and transmission of this data are major obstacles to effective use of computing power.


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