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Similarity Search and Applications, Giuseppe Amato; Claudio Gennaro; Vincent Oria; Mil


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Автор: Giuseppe Amato; Claudio Gennaro; Vincent Oria; Mil
Название:  Similarity Search and Applications
ISBN: 9783030320461
Издательство: Springer
Классификация:






ISBN-10: 3030320464
Обложка/Формат: Soft cover
Страницы: 364
Вес: 0.59 кг.
Дата издания: 2019
Серия: Information Systems and Applications, incl. Internet/Web, and HCI
Язык: English
Издание: 1st ed. 2019
Иллюстрации: 95 illustrations, color; 21 illustrations, black and white; xix, 364 p. 116 illus., 95 illus. in color.
Размер: 234 x 156 x 20
Читательская аудитория: Professional & vocational
Основная тема: Computer Science
Подзаголовок: 12th International Conference, SISAP 2019, Newark, NJ, USA, October 2–4, 2019, Proceedings
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book constitutes the refereed proceedings of the 12th International Conference on Similarity Search and Applications, SISAP 2019, held in Newark, NJ, USA, in October 2019. The 12 full papers presented together with 18 short and 3 doctoral symposium papers were carefully reviewed and selected from 42 submissions.

Similarity Search and Applications

Автор: St?phane Marchand-Maillet; Yasin N. Silva; Edgar C
Название: Similarity Search and Applications
ISBN: 3030022234 ISBN-13(EAN): 9783030022235
Издательство: Springer
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Цена: 46570.00 T
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Описание: This book constitutes the refereed proceedings of the 11th International Conference on Similarity Search and Applications, SISAP 2018, held in Lima, Peru, in October 2018.The 16 full papers presented together with 3 short papers and 1 demonstration paper were carefully reviewed and selected from 31 submissions. The papers deal with issues surrounding the theory, design, analysis, practice, and application of content-based and feature-based similarity search. They are organized in the following topical sections: metric search; visual search; nearest neighbor queries; clustering and outlier detection; graphs and applications; and shared session SISAP and SPIRE.

Operators for Similarity Search

Автор: Deepak P; Prasad M. Deshpande
Название: Operators for Similarity Search
ISBN: 3319212567 ISBN-13(EAN): 9783319212562
Издательство: Springer
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Цена: 46570.00 T
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Описание: The authors systematically survey the set of similarity operators, primarily focusing on their semantics, while also touching upon mechanisms for processing them effectively.The book starts off by providing introductory material on similarity search systems, highlighting the central role of similarity operators in such systems.

Similarity-Based Clustering

Автор: Thomas Villmann; M. Biehl; Barbara Hammer; Michel
Название: Similarity-Based Clustering
ISBN: 3642018041 ISBN-13(EAN): 9783642018046
Издательство: Springer
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Цена: 95770.00 T
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Описание: Recent Developments and Biomedical Applications. .

Similarity-Based Pattern Recognition

Автор: Edwin Hancock; Marcello Pelillo
Название: Similarity-Based Pattern Recognition
ISBN: 3642391397 ISBN-13(EAN): 9783642391392
Издательство: Springer
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Цена: 46570.00 T
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Описание: This book constitutes the proceedings of the Second International Workshop on Similarity Based Pattern Analysis and Recognition, SIMBAD 2013, which was held in York, UK, in July 2013.

Algorithms and Applications for Academic Search, Recommendation and Quantitative Association Rule Mining

Автор: Emmanouil Amolochitis
Название: Algorithms and Applications for Academic Search, Recommendation and Quantitative Association Rule Mining
ISBN: 8793609647 ISBN-13(EAN): 9788793609648
Издательство: Taylor&Francis
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Цена: 78590.00 T
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Описание: Algorithms and Applications for Academic Search, Recommendation and Quantitative Association Rule Mining presents novel algorithms for academic search, recommendation and association rule mining that have been developed and optimized for different commercial as well as academic purpose systems. Along with the design and implementation of algorithms, a major part of the work presented in the book involves the development of new systems both for commercial as well as for academic use. In the first part of the book the author introduces a novel hierarchical heuristic scheme for re-ranking academic publications retrieved from standard digital libraries. The scheme is based on the hierarchical combination of a custom implementation of the term frequency heuristic, a time-depreciated citation score and a graph-theoretic computed score that relates the paper’s index terms with each other. In order to evaluate the performance of the introduced algorithms, a meta-search engine has been designed and developed that submits user queries to standard digital repositories of academic publications and re-ranks the top-n results using the introduced hierarchical heuristic scheme. In the second part of the book the design of novel recommendation algorithms with application in different types of e-commerce systems are described. The newly introduced algorithms are a part of a developed Movie Recommendation system, the first such system to be commercially deployed in Greece by a major Triple Play services provider. The initial version of the system uses a novel hybrid recommender (user, item and content based) and provides daily recommendations to all active subscribers of the provider (currently more than 30,000). The recommenders that we are presenting are hybrid by nature, using an ensemble configuration of different content, user as well as item-based recommenders in order to provide more accurate recommendation results.The final part of the book presents the design of a quantitative association rule mining algorithm. Quantitative association rules refer to a special type of association rules of the form that antecedent implies consequent consisting of a set of numerical or quantitative attributes. The introduced mining algorithm processes a specific number of user histories in order to generate a set of association rules with a minimally required support and confidence value. The generated rules show strong relationships that exist between the consequent and the antecedent of each rule, representing different items that have been consumed at specific price levels. This research book will be of appeal to researchers, graduate students, professionals, engineers and computer programmers.

Emerging Technologies for Health and Medicine: Virtual Reality, Augmented Reality, Artificial Intelligence, Internet of Things, Robotics, Industry 4.0

Автор: Dac–Nhuong Le, Chung Van Le, Jolanda G. Tromp, Gia
Название: Emerging Technologies for Health and Medicine: Virtual Reality, Augmented Reality, Artificial Intelligence, Internet of Things, Robotics, Industry 4.0
ISBN: 1119509815 ISBN-13(EAN): 9781119509813
Издательство: Wiley
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Цена: 193190.00 T
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Описание:

Showcases the latest trends in new virtual/augmented reality healthcare and medical applications and provides an overview of the economic, psychological, educational and organizational impacts of these new applications and how we work, teach, learn and provide care.

With the current advances in technology innovation, the field of medicine and healthcare is rapidly expanding and, as a result, many different areas of human health diagnostics, treatment and care are emerging. Wireless technology is getting faster and 5G mobile technology allows the Internet of Medical Things (IoMT) to greatly improve patient care and more effectively prevent illness from developing.

This book provides an overview and review of the current and anticipated changes in medicine and healthcare due to new technologies and faster communication between users and devices.

The groundbreaking book presents state-of-the-art chapters on many subjects including:

  • A review of the implications of Virtual Reality (VR) and Augmented Reality (AR) healthcare applications
  • A review of current augmenting dental care
  • An overview of typical human-computer interaction (HCI) that can help inform the development of user interface designs and novel ways to evaluate human behavior to responses in VR and other new technologies
  • A review of telemedicine technologies
  • Building empathy in young children using augmented reality
  • AI technologies for mobile health of stroke monitoring & rehabilitation robotics control
  • Mobile doctor brain AI App
  • An artificial intelligence mobile cloud computing tool
  • Development of a robotic teaching aid for disabled children
  • Training system design of lower limb rehabilitation robot based on virtual reality

Emerging Trends and Applications in Cognitive Computing

Автор: MALLICK & BORAH
Название: Emerging Trends and Applications in Cognitive Computing
ISBN: 1522557938 ISBN-13(EAN): 9781522557937
Издательство: Mare Nostrum (Eurospan)
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Цена: 179740.00 T
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Описание: Though an individual can process a limitless amount of information, the human brain can only comprehend a small amount of data at a time. Using technology can improve the process and comprehension of information, but the technology must learn to behave more like a human brain to employ concepts like memory, learning, visualization ability, and decision making.Emerging Trends and Applications in Cognitive Computing is a fundamental scholarly source that provides empirical studies and theoretical analysis to show how learning methods can solve important application problems throughout various industries and explain how machine learning research is conducted. Including innovative research on topics such as deep neural networks, cyber-physical systems, and pattern recognition, this collection of research will benefit individuals such as IT professionals, academicians, students, researchers, and managers.

Big data applications in the telecommunications industry /

Автор: Mantian Hu and Ye Ouyang
Название: Big data applications in the telecommunications industry /
ISBN: 1522517502 ISBN-13(EAN): 9781522517504
Издательство: Mare Nostrum (Eurospan)
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Цена: 141370.00 T
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Описание: The growing presence of smart phones and smart devices has caused significant changes to wireless networks. With the ubiquity of these technologies, there is now increasingly more available data for mobile operators to utilize.Big Data Applications in the Telecommunications Industry is a comprehensive reference source for the latest scholarly material on the use of data analytics to study wireless networks and examines how these techniques can increase reliability and profitability, as well as network performance and connectivity. Featuring extensive coverage on relevant topics, such as accessibility, traffic data, and customer satisfaction, this publication is ideally designed for engineers, students, professionals, academics, and researchers seeking innovative perspectives on data science and wireless network communications.Topics CoveredThe many academic areas covered in this publication include, but are not limited to:Anomaly DetectionCo-Occurrence Data ModelingConsumer FeedbackCustomer Satisfaction and RetentionNetwork AccessibilitySocial NetworksTraffic Data

Similarity Search and Applications

Автор: Christian Beecks; Felix Borutta; Peer Kr?ger; Thom
Название: Similarity Search and Applications
ISBN: 3319684736 ISBN-13(EAN): 9783319684734
Издательство: Springer
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Цена: 60550.00 T
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Описание: This book constitutes the refereed proceedings of the 10th International Conference on Similarity Search and Applications, SISAP 2017, held in Munich, Germany, in October 2017. The 23 full papers presented were carefully reviewed and selected from 53 submissions.

Similarity Search and Applications

Автор: Giuseppe Amato; Richard Connor; Fabrizio Falchi; C
Название: Similarity Search and Applications
ISBN: 3319250868 ISBN-13(EAN): 9783319250861
Издательство: Springer
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Цена: 52170.00 T
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Описание: This book constitutes the proceedings of the 8th International Conference on Similarity Search and Applications, SISAP 2015, held in Glasgow, UK, in October 2015. The 19 full papers, 12 short and 9 demo and poster papers presented in this volume were carefully reviewed and selected from 68 submissions. demo papers.

Music Similarity and Retrieval

Автор: Knees
Название: Music Similarity and Retrieval
ISBN: 3662497204 ISBN-13(EAN): 9783662497203
Издательство: Springer
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Цена: 102480.00 T
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Описание: This book providesa summary of the manifold audio- and web-based approaches to music informationretrieval (MIR) research. In contrast to other books dealing solely with musicsignal processing, it addresses additional cultural and listener-centric aspectsand thus provides a more holistic view. Consequently, the text includes methodsoperating on features extracted directly from the audio signal, as well asmethods operating on features extracted from contextual information, either thecultural context of music as represented on the web or the user and usagecontext of music.Followingthe prevalent document-centered paradigm of information retrieval, the bookaddresses models of music similarity that extract computational features todescribe an entity that represents music on any level (e.g., song, album, orartist), and methods to calculate the similarity between them. While thisperspective and the representations discussed cannot describe all musicaldimensions, they enable us to effectively find music of similar qualities byproviding abstract summarizations of musical artifacts from differentmodalities. The text athand provides a comprehensive and accessible introduction to the topics ofmusic search, retrieval, and recommendation from an academic perspective. Itwill not only allow those new to the field to quickly access MIR from aninformation retrieval point of view but also raise awareness for thedevelopments of the music domain within the greater IR community. In thisregard, Part I deals with content-based MIR, in particular the extraction offeatures from the music signal and similarity calculation for content-basedretrieval. Part II subsequently addresses MIR methods that make use of thedigitally accessible cultural context of music. Part III addresses methods of collaborativefiltering and user-aware and multi-modal retrieval, while Part IV explorescurrent and future applications of music retrieval and recommendation.>

Similarity Search and Applications

Автор: Amsaleg
Название: Similarity Search and Applications
ISBN: 3319467581 ISBN-13(EAN): 9783319467580
Издательство: Springer
Рейтинг:
Цена: 46590.00 T
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Описание: This book constitutes the proceedings of the 9th International Conference on Similarity Search and Applications, SISAP 2016, held in Tokyo, Japan, in October 2016. The 18 full papers and 7 short papers presented in this volume were carefully reviewed and selected from 47 submissions. and scalable similarity search.


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