Information Fusion

Language: English

Published by Springer, Springer Mai 2022, 2022

981168975X / 9789811689758

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This item is printed on demand - Print on Demand Titel. Neuware -In the big data era, increasing information can be extracted from the same source object or scene. For instance, a person can be verified based on their fingerprint, palm print, or iris information, and a given image can be represented by various types of features, including its texture, color, shape, etc. These multiple types of data extracted from a single object are called multi-view, multi-modal or multi-feature data. Many works have demonstrated that the utilization of all available information at multiple abstraction levels (measurements, features, decisions) helps to obtain more complex, reliable and accurate information and to maximize performance in a range of applications.This book provides an overview of information fusion technologies, state-of-the-art techniques and their applications. It covers a variety of essential information fusion methods based on different techniques, including sparse/collaborative representation, kernel strategy,Bayesian models, metric learning, weight/classifier methods, and deep learning. The typical applications of these proposed fusion approaches are also presented, including image classification, domain adaptation, disease detection, image restoration, etc.This book will benefit all researchers, professionals and graduate students in the fields of computer vision, pattern recognition, biometrics applications, etc. Furthermore, it offers a valuable resource for interdisciplinary research.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 288 pp. Englisch.

Seller Inventory # 9789811689758

Title
Information Fusion
Author
Jinxing Li
Publisher
Springer, Springer Mai 2022
Publication year
2022
Condition
Neu
Binding
Buch
Language
English
ISBN 10
981168975X
ISBN 13
9789811689758
Item weight
652 grams
Dimensions
241x160x21 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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