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Compressed Sensing for Privacy-Preserving Data Processing, Matteo Testa; Diego Valsesia; Tiziano Bianchi; Enr


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Автор: Matteo Testa; Diego Valsesia; Tiziano Bianchi; Enr
Название:  Compressed Sensing for Privacy-Preserving Data Processing
ISBN: 9789811322785
Издательство: Springer
Классификация:





ISBN-10: 9811322783
Обложка/Формат: Soft cover
Страницы: 91
Вес: 0.17 кг.
Дата издания: 2019
Серия: Springerbriefs in electrical and computer engineering
Язык: English
Издание: 1st ed. 2019
Иллюстрации: 26 illustrations, color; 3 illustrations, black and white; viii, 91 p. 29 illus., 26 illus. in color.
Размер: 234 x 156 x 5
Читательская аудитория: Professional & vocational
Основная тема: Engineering
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: The objective of this book is to provide the reader with a comprehensive survey of the topic compressed sensing in information retrieval and signal detection with privacy preserving functionality without compromising the performance of the embedding in terms of accuracy or computational efficiency. The reader is guided in exploring the topic by first establishing a shared knowledge about compressed sensing and how it is used nowadays. Then, clear models and definitions for its use as a cryptosystem and a privacy-preserving embedding are laid down, before tackling state-of-the-art results for both applications. The reader will conclude the book having learned that the current results in terms of security of compressed techniques allow it to be a very promising solution to many practical problems of interest. The book caters to a broad audience among researchers, scientists, or engineers with very diverse backgrounds, having interests in security, cryptography and privacy in information retrieval systems. Accompanying software is made available on the authors’ website to reproduce the experiments and techniques presented in the book. The only background required to the reader is a good knowledge of linear algebra, probability and information theory.
Дополнительное описание: Introduction.- Compressed Sensing and Security.- Compressed Sensing as a Cryptosystem.- Privacy-preserving Embeddings.- Conclusion.



Compressed Sensing & Sparse Filtering

Автор: Avishy Y. Carmi; Lyudmila Mihaylova; Simon J. Gods
Название: Compressed Sensing & Sparse Filtering
ISBN: 366250894X ISBN-13(EAN): 9783662508947
Издательство: Springer
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Цена: 18237.00 р.
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Описание: This book presents fundamental concepts, methods and algorithms able to cope with undersampled data. It introduces the concept of compressive sampling, which is also called compressed sensing.

Adapted Compressed Sensing for Effective Hardware Implementations

Автор: Mauro Mangia; Fabio Pareschi; Valerio Cambareri; R
Название: Adapted Compressed Sensing for Effective Hardware Implementations
ISBN: 3319613723 ISBN-13(EAN): 9783319613727
Издательство: Springer
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Цена: 18294.00 р.
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Описание: This book describes algorithmic methods and hardware implementations that aim to help realize the promise of Compressed Sensing (CS), namely the ability to reconstruct high-dimensional signals from a properly chosen low-dimensional "portrait".

Compressed sensing and its applications

Название: Compressed sensing and its applications
ISBN: 3319730738 ISBN-13(EAN): 9783319730738
Издательство: Springer
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Цена: 15855.00 р.
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Описание:

The chapters in this volume highlight the state-of-the-art of compressed sensing and are based on talks given at the third international MATHEON conference on the same topic, held from December 4-8, 2017 at the Technical University in Berlin. In addition to methods in compressed sensing, chapters provide insights into cutting edge applications of deep learning in data science, highlighting the overlapping ideas and methods that connect the fields of compressed sensing and deep learning. Specific topics covered include:
Quantized compressed sensingClassificationMachine learningOracle inequalitiesNon-convex optimizationImage reconstructionStatistical learning theory
This volume will be a valuable resource for graduate students and researchers in the areas of mathematics, computer science, and engineering, as well as other applied scientists exploring potential applications of compressed sensing.
Compressed Sensing and its Applications

Автор: Holger Boche; Robert Calderbank; Gitta Kutyniok; J
Название: Compressed Sensing and its Applications
ISBN: 3319160419 ISBN-13(EAN): 9783319160412
Издательство: Springer
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Цена: 11586.00 р.
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Compressed Sensing with Side Information on the Feasible Region

Автор: Mohammad Rostami
Название: Compressed Sensing with Side Information on the Feasible Region
ISBN: 3319003658 ISBN-13(EAN): 9783319003658
Издательство: Springer
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Цена: 4877.00 р.
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Описание: This book discusses compressive sensing in the presence of side information. Interesting instances of Compressive Sensing (CS) can occur when, apart from sparsity, side information is available about the source signals.

Compressed Sensing & Sparse Filtering

Автор: Avishy Y. Carmi; Lyudmila Mihaylova; Simon J. Gods
Название: Compressed Sensing & Sparse Filtering
ISBN: 3642383971 ISBN-13(EAN): 9783642383977
Издательство: Springer
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Цена: 24392.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book presents fundamental concepts, methods and algorithms able to cope with undersampled data. It introduces the concept of compressive sampling, which is also called compressed sensing.

Compressed Sensing and Its Applications

Автор: Holger Boche; Giuseppe Caire; Robert Calderbank; M
Название: Compressed Sensing and Its Applications
ISBN: 331969801X ISBN-13(EAN): 9783319698014
Издательство: Springer
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Цена: 13415.00 р.
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Описание: This contributed volume contains articles written by the plenary and invited speakers from the second international MATHEON Workshop 2015 that focus on applications of compressed sensing.

Compressed Data Structures for Strings

Автор: Rossano Venturini
Название: Compressed Data Structures for Strings
ISBN: 9462390320 ISBN-13(EAN): 9789462390324
Издательство: Springer
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Цена: 6097.00 р.
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Описание: This volume tackles the conflicting requirements of data compression and indexing in massive datasets, by using optimization techniques to improve compression and reconfiguring data structure to increase the efficiency, and speed, of pattern-matching queries.

Privacy-Preserving Machine Learning for Speech Processing

Автор: Manas A. Pathak
Название: Privacy-Preserving Machine Learning for Speech Processing
ISBN: 1489991204 ISBN-13(EAN): 9781489991201
Издательство: Springer
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Цена: 13677.00 р.
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Описание: This thesis discusses the privacy issues in speech-based applications such as biometric authentication, surveillance, and external speech processing services. Pathak presents solutions for privacy-preserving speech processing applications such as speaker verification, speaker identification and speech recognition.

Color Image Watermarking: Algorithms and Technologies

Автор: Qingtang Su
Название: Color Image Watermarking: Algorithms and Technologies
ISBN: 3110487578 ISBN-13(EAN): 9783110487572
Издательство: Walter de Gruyter
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Цена: 18586.00 р.
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Описание: This book presents watermarking algorithms derived from signal processing methods such as wavelet transform, matrix decomposition and cosine transform to address the limitations of current technologies. For each algorithm, mathematical foundations are explained with analysis conducted to evaluate performances on robotness and efficiency. Combining theories and practice, it is suitable for information security researchers and industrial engineers.

Handbook of Research on Intelligent Data Processing and Information Security Systems

Автор: Stepan Mykolayovych Bilan, Saleem Issa Al-Zoubi
Название: Handbook of Research on Intelligent Data Processing and Information Security Systems
ISBN: 1799812901 ISBN-13(EAN): 9781799812906
Издательство: Mare Nostrum (Eurospan)
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Цена: 46292.00 р.
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Описание: Intelligent technologies have emerged as imperative tools in computer science and information security. However, advanced computing practices have preceded new methods of attacks on the storage and transmission of data. Developing approaches such as image processing and pattern recognition are susceptible to breaches in security. Modern protection methods for these innovative techniques require additional research.

The Handbook of Research on Intelligent Data Processing and Information Security Systems provides emerging research exploring the theoretical and practical aspects of cyber protection and applications within computer science and telecommunications. Special attention is paid to data encryption, steganography, image processing, and recognition, and it targets professionals who want to improve their knowledge in order to increase strategic capabilities and organizational effectiveness. As such, this book is ideal for analysts, programmers, computer engineers, software engineers, mathematicians, data scientists, developers, IT specialists, academicians, researchers, and students within fields of information technology, information security, robotics, artificial intelligence, image processing, computer science, and telecommunications.

Secure and Privacy-Preserving Data Communication in Internet of Things

Автор: Liehuang Zhu; Zijian Zhang; Chang Xu
Название: Secure and Privacy-Preserving Data Communication in Internet of Things
ISBN: 9811032343 ISBN-13(EAN): 9789811032349
Издательство: Springer
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Цена: 6707.00 р.
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Описание: This book mainly concentrates on protecting data security and privacy when participants communicate with each other in the Internet of Things (IoT).


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