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Pattern Recognition, Machine Intelligence and Biometrics, Wang Patrick S. P.


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Цена: 37420.00р.
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Автор: Wang Patrick S. P.
Название:  Pattern Recognition, Machine Intelligence and Biometrics
ISBN: 9783662585450
Издательство: Springer
Классификация:


ISBN-10: 3662585456
Обложка/Формат: Paperback
Страницы: 866
Вес: 1.25 кг.
Дата издания: 09.12.2018
Язык: English
Издание: Softcover reprint of
Иллюстрации: Xxxix, 866 p.
Размер: 23.39 x 15.60 x 4.55 cm
Читательская аудитория: Professional & vocational
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Pattern Recognition, Machine Intelligence and Biometrics covers recent developments in the field of pattern recognition using artificial intelligence technologies. Topics include image analysis and fingerprint recognition, facial expressions and emotions, handwriting and signatures, and more.


Computer Age Statistical Inference

Автор: Bradley Efron and Trevor Hastie
Название: Computer Age Statistical Inference
ISBN: 1107149894 ISBN-13(EAN): 9781107149892
Издательство: Cambridge Academ
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Цена: 9029.00 р.
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Описание: The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? This book takes us on an exhilarating journey through the revolution in data analysis following the introduction of electronic computation in the 1950s. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern approach integrates methodology and algorithms with statistical inference. The book ends with speculation on the future direction of statistics and data science.

Hidden Biometrics

Автор: Amine Nait-ali
Название: Hidden Biometrics
ISBN: 9811309558 ISBN-13(EAN): 9789811309557
Издательство: Springer
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Цена: 16769.00 р.
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Описание: This book explores intrinsic and human body part biometrics and biometrics of human physiological activities, invisible to the naked eye. These human body parts can only be visualized using specific imaging techniques or sensors, commonly employed in the biomedical engineering field.

Biometrics, Computer Security Systems and Artificial Intelligence Applications

Автор: Khalid Saeed; Jerzy Pejas; Romuald Mosdorf
Название: Biometrics, Computer Security Systems and Artificial Intelligence Applications
ISBN: 1441942122 ISBN-13(EAN): 9781441942128
Издательство: Springer
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Цена: 29209.00 р.
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Описание: This book presents the most recent achievements in some rapidly developing fields within Computer Science. This includes the very latest research in biometrics and computer security systems, and descriptions of the latest inroads in artificial intelligence applications. The book contains over 30 articles by well-known scientists and engineers.

Soft Computing for Recognition based on Biometrics

Автор: Patricia Melin; Witold Pedrycz
Название: Soft Computing for Recognition based on Biometrics
ISBN: 3642265111 ISBN-13(EAN): 9783642265112
Издательство: Springer
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Цена: 20962.00 р.
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Описание: This book describes bio-inspired models and applications of hybrid intelligent systems using soft computing techniques for image analysis and pattern recognition based on biometrics and other sources. Each section groups papers on a similar subject.

Handbook of Vascular Biometrics

Автор: Uhl Andreas, Busch Christoph, Marcel Sйbastien
Название: Handbook of Vascular Biometrics
ISBN: 303027733X ISBN-13(EAN): 9783030277338
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This open access handbook provides the first comprehensive overview of biometrics exploiting the shape of human blood vessels for biometric recognition, i.e. vascular biometrics, including finger vein recognition, hand/palm vein recognition, retina recognition, and sclera recognition.

Discriminative Learning in Biometrics

Автор: David Zhang; Yong Xu; Wangmeng Zuo
Название: Discriminative Learning in Biometrics
ISBN: 9811020558 ISBN-13(EAN): 9789811020551
Издательство: Springer
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Цена: 15372.00 р.
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Описание:

This monograph describes the latest advances in discriminative learning methods for biometric recognition. Specifically, it focuses on three representative categories of methods: sparse representation-based classification, metric learning, and discriminative feature representation, together with their applications in palmprint authentication, face recognition and multi-biometrics. The ideas, algorithms, experimental evaluation and underlying rationales are also provided for a better understanding of these methods. Lastly, it discusses several promising research directions in the field of discriminative biometric recognition.
Advanced Biometrics

Автор: David Zhang; Guangming Lu; Lei Zhang
Название: Advanced Biometrics
ISBN: 3319871072 ISBN-13(EAN): 9783319871073
Издательство: Springer
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Цена: 20962.00 р.
Наличие на складе: Поставка под заказ.

Описание: This book describes a range of new biometric technologies, such as high-resolution fingerprint, finger-knuckle-print, multi-spectral backhand, 3D fingerprint, tongueprint, 3D ear, and multi-spectral iris technologies. Further, it introduces readers to efficient feature extraction, matching and fusion algorithms, in addition to developing potential systems of its own. These advanced biometric technologies and methods are divided as follows: 1. High-Resolution Fingerprint Recognition; 2. Finger-Knuckle-Print Verification; 3. Other Hand-Based Biometrics; and 4. New Head-Based Biometrics.Traditional biometric technologies, such as fingerprint, face, iris, and palmprint, have been extensively studied and addressed in many research books. However, all of these technologies have their own advantages and disadvantages, and there is no single type of biometric technology that can be used for all applications. Many new biometric technologies have been developed in recent years, especially in response to new applications. The contributions gathered here focus on how to develop a new biometric technology based on the requirements of essential applications, and how to design efficient algorithms that yield better performance.

Security and Privacy in Biometrics

Автор: Patrizio Campisi
Название: Security and Privacy in Biometrics
ISBN: 1447162013 ISBN-13(EAN): 9781447162018
Издательство: Springer
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Цена: 15372.00 р.
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Описание: This book describes applications from face and fingerprint recognition to biometrics-based electronic documents, discusses ethical implications of biometrics, offers advice on best practices for processing of biometric data in a legal framework and more.

Biometrics in the New World

Автор: Julian Ashbourn
Название: Biometrics in the New World
ISBN: 3319346873 ISBN-13(EAN): 9783319346878
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This exploration of the issues surrounding the use of biometrics in an increasingly interconnected world moves the debate on into the new and burgeoning world of cloud computing, federated ID, and the use of personal devices for business and civic purposes.

Selfie Biometrics: Advances and Challenges

Автор: Rattani Ajita, Derakhshani Reza, Ross Arun
Название: Selfie Biometrics: Advances and Challenges
ISBN: 3030269744 ISBN-13(EAN): 9783030269746
Издательство: Springer
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Цена: 13974.00 р.
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Описание: 1. Introduction to Selfie Biometrics.- Part I: Selfie Finger, Ocular and Face Biometrics - 2. User Authentication via Finger-selfies.- 3. A Scheme for Fingerphoto Recognition in Smartphones.- 4. MICHE Competitions: A Realistic Experience with Uncontrolled Eye Region Acquisition.- 5. Super-Resolution for Selfie Biometrics: Introduction and Application to Face and Iris.- 6. Foveated Vision for Biologically-inspired Continuous face Authentication.- 7. Selfie for Mobile Biometrics: Sample Quality in Unconstrained Environments.- Part II: Selfie and Liveness Detection - 8. Presentation Attack Detection for Face in Mobile Phones.- 9. Liveness and threat Aware Selfie Face Recognition.- Part III: Selfie and Soft-Biometrics - 10. Soft-Biometrics Attributes from Selfie Images.- 11. Sex-Classification from Cell Phones Periocular Iris Images.- 12. Active Authentication on Mobile Devices.


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